Registro públicoExcelente
Informe de salud del softwareesquema 0.27.0 · métricas 2.3.1 · 2026-08-02 16:00 UTC
jesse-ai / jesse
An advanced crypto trading bot written in Python
jesse-ai/jesse tiene un índice de salud de 87 sobre 100, lo que lo sitúa en la banda Excelente. Su puntuación más alta es Vitality (93/100) y la más baja, Security (54/100). Se actualizó por última vez hoy. Una sola persona concentra la mayor parte del trabajo reciente.
87
global / 100Índice de salud del software
Las métricas se agrupan en categorías ponderadas sobre una escala estandarizada de 1 a 100. El resultado global parte de su media ponderada, calibrada contra la distribución del registro público para que las bandas tengan significado percentil; cuando la evidencia pública activa la Política de Jurisdicciones de Alto Riesgo, la calificación se ajusta y recibe un límite «En riesgo» de 34.
87
Excepcional93-100El nivel más alto del registro (≈ el 5% superior); cumple prácticamente todos los criterios evaluados
Excelente80-92Sólido en todos los frentes; carencias menores
Bueno65-79Saludable; carencias limitadas y manejables
Moderado50-64Aceptable con carencias notables; se recomienda revisión
Débil35-49Debilidades sustanciales en varias áreas
En riesgo20-34Debilidades significativas; su adopción exige cautela
Crítico1-19Problemas graves (proyecto abandonado, un solo mantenedor, sin higiene)
Perfil de puntuación
Cada eje es una categoría. La forma importa más que la media: un proyecto sano llena toda la figura, mientras que un perfil de picos y cráteres indica que la fortaleza en una dimensión enmascara el riesgo en otra.
El resultado global ponderado 73 se calibra a 87 en la escala publicada del índice (calibración del registro 2026-08-02).
Titularidad
JesseOrganización
367 seguidores24 repositorios públicosdesde nov 2018
Este repositorio está respaldado por una organización: una custodia compartida y responsable que puede sobrevivir a cualquier mantenedor individual.
Ecosistemas de paquetes
| Registro | Paquete | Versión | Descargas / mes | Versiones | Última publicación |
|---|---|---|---|---|---|
| PyPI | jesse | 3.0.0 | - | 358 | hace 0 días |
Métricas por categoría
Vitalidad
¿Está vivo el proyecto: se escribe código y se publican versiones?
93
Actividad de desarrollo
96Excepcional
Cómo se puntúa
| 36/36 | Recencia de push — último push hace 0 días |
| 32.5/36 | Cadencia de commits — 47/52 semanas con commits |
| 18/18 | Volumen de commits — 421 commits en el último año |
| 10/10 | OpenSSF Scorecard: Maintained — 30 commit(s) and 9 issue activity found in the last 90 days -- score normalized to 10 |
Datos de entrada utilizados
| commits_last_year | 421 |
| human_commit_share | 0,99 |
| days_since_last_push | 0 |
| active_weeks_last_year | 47 |
Disciplina de publicación
88Excelente
Cómo se puntúa
| 16.2/27 | Publica versiones — 10 etiquetas de versión (sin releases de GitHub) |
| 36/36 | Recencia de las versiones — última versión hace 0 días |
| 27/27 | Cadencia de publicación — una versión cada ~7 días |
| 0/10 | OpenSSF Scorecard: Signed-Releases — sin datos |
Datos de entrada utilizados
| releases_count | 10 |
| latest_release_tag | v3.0.0 |
| releases_from_tags | sí |
| days_since_latest_release | 0 |
| mean_days_between_releases | 7 |
Excluidos de la puntuación (sin datos o no aplicable): OpenSSF Scorecard: Signed-Releases. Los pesos restantes se han renormalizado.
Comunidad y Adopción
¿Tiene el proyecto usuarios, descargas, atención y unas condiciones acogedoras para quienes contribuyen?
76
Popularidad y adopción
98Excepcional
Cómo se puntúa
| 60/60 | Estrellas — 8281 estrellas |
| 25/25 | Forks — 1188 forks |
| 12.9/15 | Observadores — 207 observadores |
Datos de entrada utilizados
| forks | 1188 |
| stars | 8281 |
| watchers | 207 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Salud de la comunidad
50Moderado
Cómo se puntúa
| 22.5/22.5 | README |
| 22.5/22.5 | Licencia — licencia reconocida (MIT) |
| 0/18 | Guía CONTRIBUTING |
| 0/13.5 | Código de conducta |
| 0/7.2 | Plantilla de issues |
| 0/6.3 | Plantilla de PR |
Datos de entrada utilizados
| has_readme | sí |
| has_license | sí |
| readme_badges | — |
| has_contributing | no |
| has_issue_template | no |
| has_code_of_conduct | no |
| readme_badge_services | — |
| has_pull_request_template | no |
Sostenibilidad y Gobernanza
¿Sobrevivirá el proyecto a sus personas: factor bus, capacidad de respuesta, quién lo respalda y mantenimiento del paquete?
68
Cómo se puntúa
| 9/54 | Factor bus — la mitad de los commits recae en 1 contribuyente(s) |
| 8.1/22.5 | Distribución de commits — el principal contribuyente firma el 64% de los commits |
| 13.5/13.5 | Amplitud de contribuyentes — 50 contribuyentes |
| 10/10 | OpenSSF Scorecard: Contributors — project has 7 contributing companies or organizations |
Datos de entrada utilizados
| bus_factor | 1 |
| contributors_sampled | 50 |
| top_contributor_share | 0,638 |
Cómo se puntúa
| 40.7/42 | Resolución de issues — 97% de issues cerradas |
| 19.8/30 | Aceptación de PR — 278/422 PR decididos fusionados |
| 0/13 | Newcomer PR acceptance — ningún PR de un contribuyente primerizo decidido en 30 d |
| 0/15 | OpenSSF Scorecard: Code-Review — Found 0/28 approved changesets -- score normalized to 0 |
Datos de entrada utilizados
| merged_prs | 278 |
| open_issues | 5 |
| closed_issues | 153 |
| prs_merged_7d | — |
| prs_decided_7d | — |
| prs_merged_30d | — |
| prs_decided_30d | — |
| issue_closed_ratio | 0,968 |
| closed_unmerged_prs | 144 |
| first_time_authors_30d | — |
| first_time_prs_merged_30d | — |
| first_time_prs_decided_30d | — |
Excluidos de la puntuación (sin datos o no aplicable): newcomer_pr_acceptance. Los pesos restantes se han renormalizado.
Propiedad y custodia
71Bueno
Cómo se puntúa
| 30/30 | Respaldo de la propiedad — propiedad de una organización |
| 0/20 | Dominio verificado |
| 18.4/25 | Alcance del propietario — 367 seguidores de jesse-ai |
| 22.2/25 | Trayectoria — 24 repos públicos, cuenta de ~7 años |
Datos de entrada utilizados
| followers | 367 |
| owner_type | Organization |
| is_verified | — |
| owner_login | jesse-ai |
| public_repos | 24 |
| account_age_days | 2823 |
Mantenimiento de paquetes
100Excepcional
Cómo se puntúa
| 25/25 | Publicado y resoluble — 1 paquete(s) en pypi |
| 35/35 | Recencia de publicación — última publicación hace 0 días |
| 20/20 | Historial de versiones — 358 versiones en el registro |
| 20/20 | No obsoleto — activo, ni obsoleto ni retirado |
Datos de entrada utilizados
| packages | jesse |
| ecosystems | pypi |
| any_deprecated | no |
| min_days_since_publish | 0 |
Calidad de Ingeniería
¿Existen unas prácticas mínimas de ingeniería y documentación?
71
Prácticas de ingeniería
68Bueno
Cómo se puntúa
| 24/24 | Flujos de trabajo de CI — 3 flujo(s) de trabajo |
| 24/24 | Pruebas presentes |
| 0/16 | Configuración de linter |
| 0/9.6 | Hooks de pre-commit |
| 0/6.4 | .editorconfig |
| 20/20 | OpenSSF Scorecard: CI-Tests — 2 out of 2 merged PRs checked by a CI test -- score normalized to 10 |
Datos de entrada utilizados
| has_ci | sí |
| has_tests | sí |
| has_editorconfig | no |
| has_linter_config | no |
| has_precommit_config | no |
Documentación
75Bueno
Cómo se puntúa
| 30/30 | README |
| 0/25 | Directorio de documentación |
| 15/15 | Sitio de documentación / página del proyecto — https://jesse.trade |
| 10/10 | Descripción del repositorio |
| 10/10 | Topics — 18 topics |
| 10/10 | Wiki |
Datos de entrada utilizados
| topics | cryptocurrency, trading-bot, trading-algorithms, trading, crypto, framework, algo-trading, algorithmic-trading, jesse, trading-strategies, python, bot, crypto-bot, bitcoin, trade, crypto-bot-trading, quantitative-finance, quantitative-trading |
| has_wiki | sí |
| homepage | https://jesse.trade |
| has_readme | sí |
| has_docs_dir | no |
| has_description | sí |
Seguridad
¿Son sólidas las prácticas visibles de seguridad y de cadena de suministro, sin exposición jurisdiccional de alto riesgo sin resolver?
54
Postura de seguridad
43Débil
Cómo se puntúa
| 0.8/7.5 | Binary-Artifacts — binaries present in source code |
| 0/7.5 | Branch-Protection — branch protection not enabled on development/release branches |
| 2.5/2.5 | CI-Tests — 2 out of 2 merged PRs checked by a CI test -- score normalized to 10 |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 0/7.5 | Code-Review — Found 0/28 approved changesets -- score normalized to 0 |
| 2.5/2.5 | Contributors — project has 7 contributing companies or organizations |
| 10/10 | Dangerous-Workflow — no dangerous workflow patterns detected |
| 7.5/7.5 | Dependency-Update-Tool — update tool detected |
| 0/5 | Fuzzing — project is not fuzzed |
| 2.5/2.5 | Licencia — license file detected |
| 7.5/7.5 | Maintained — 30 commit(s) and 9 issue activity found in the last 90 days -- score normalized to 10 |
| 5/5 | Packaging — packaging workflow detected |
| 0/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
| 3.5/5 | SAST — SAST tool detected but not run on all commits |
| 0/5 | Security-Policy — security policy file not detected |
| 0/7.5 | Signed-Releases — sin datos |
| 0/7.5 | Token-Permissions — detected GitHub workflow tokens with excessive permissions |
| 0/7.5 | Vulnerabilities — 23 existing vulnerabilities detected |
Datos de entrada utilizados
| source | openssf_scorecard |
| checks_evaluated | 17 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 1 |
| scorecard_aggregate | 4,3 |
Excluidos de la puntuación (sin datos o no aplicable): signed_releases. Los pesos restantes se han renormalizado.
Avisos de dependencias
100Excepcional
Cómo se puntúa
| 35/35 | Dependencias directas libres de avisos conocidos — ninguna dependencia directa tiene un aviso conocido |
| 0/25 | Dependencias indirectas libres de avisos conocidos — el conjunto transitivo no es separable de las dependencias de desarrollo y prueba en este alcance |
| 0/40 | Sin avisos pendientes — ningún aviso tiene fecha de publicación |
Datos de entrada utilizados
| source | osv |
| advisories | 0 |
| affected_packages | 0 |
| assessed_packages | 2 |
| unassessed_packages | 36 |
| affected_by_severity | none |
| direct_affected_packages | 0 |
Excluidos de la puntuación (sin datos o no aplicable): Dependencias indirectas libres de avisos conocidos, Sin avisos pendientes. Los pesos restantes se han renormalizado. Se cotejaron 2 dependencias resueltas con OSV. 36 no pudieron evaluarse: sin versión resuelta, ecosistema no admitido o fuera de la lista de paquetes informada. Este repositorio no publica ningún paquete que el índice resuelva, por lo que se evaluó en su lugar el grafo de dependencias del repositorio. Ese grafo mezcla fijaciones de desarrollo y prueba con las dependencias distribuidas, de modo que solo se puntúan las dependencias declaradas en tiempo de ejecución; los hallazgos transitivos se informan como contexto y quedan excluidos de la puntuación. No se analiza la alcanzabilidad.
Preparación para IA
¿Hasta qué punto está el repositorio preparado para desarrollarse y mantenerse con agentes de codificación de IA? Tiene un peso deliberadamente pequeño (4%): las herramientas para agentes son una señal real de mantenimiento, pero un repositorio sin ninguna puede alcanzar igualmente 100/100.
60
Contexto y guía para agentes
77Bueno
Cómo se puntúa
| 45/45 | Instrucciones para agentes — AGENTS.md |
| 0/15 | Documentación legible por máquinas (llms.txt) |
| 31.8/40 | Historial de commits legible — 59 de 99 commits humanos declaran su intención (asunto estructurado o cuerpo explicativo) |
Datos de entrada utilizados
| has_llms_txt | no |
| legible_history_share | 0,596 |
| agent_instruction_files | AGENTS.md |
| agent_instruction_max_bytes | 10.691 |
Cómo se puntúa
| 0/18 | Arranque con un solo comando |
| 22/22 | Pruebas automatizadas |
| 0/11 | Configuración de lint / formato |
| 0/11 | Verificación estática de tipos |
| 10/10 | Entorno reproducible — Dockerfile |
| 10/10 | Práctica demostrada con agentes — 45 de los últimos 100 commits con autoría o crédito de agente |
| 8/8 | Mantenimiento automatizado — 1 de los últimos 100 commits son actualizaciones automáticas de dependencias |
| 0/10 | OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
Datos de entrada utilizados
| has_nix | no |
| has_tests | sí |
| lockfiles | — |
| has_dockerfile | sí |
| typed_language | no |
| bootstrap_files | — |
| has_devcontainer | no |
| has_linter_config | no |
| typecheck_configs | — |
| agent_commit_share | 0,45 |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0,01 |
Legibilidad del código para modelos
52Moderado
Cómo se puntúa
| 0/45 | Código verificable por tipos — Python sin configuración de verificación de tipos |
| 52.4/55 | Tamaños de archivo manejables — 53/1106 archivos fuente de más de 60 KB |
Datos de entrada utilizados
| primary_language | Python |
| largest_source_bytes | 6.915.612 |
| source_files_sampled | 1106 |
| oversized_source_files | 53 |
Datos clave
8281estrellas de GitHub
50contribuidores
421commits en los últimos 12 meses
0días desde el último push
10versiones publicadas
1factor bus
5issues abiertas
PyPIecosistemas de paquetes
Advertencias de recopilación de datos
- Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
- deps.dev does not index pypi:jesse@3.0.0; advisories assessed against the repository dependency graph instead
Más detalle
Historial de estrellas y forks 0 ★ / 1188 ⇿
0Estrellas
1188Forks
9Versiones
Cuándo se añadió cada estrella y fork, recopilado de GitHub y agrupado por día. El crecimiento acumulado se sitúa justo encima de las adiciones diarias que lo componen, de modo que ambos se leen en conjunto: la acumulación orgánica sostenida no se parece en nada a un pico abrupto y efímero. Cuando esa diferencia es medible, se informa como autenticidad del crecimiento.
Solo se muestra el historial más reciente: este repositorio supera la ventana de recopilación, por lo que no se captura el historial más antiguo.
Mayor 0Menor 3Parche 6
Cada punto abarca 5 días.
OpenSSF Scorecard 4.3 / 10
4.3agregado
Evaluación de seguridad independiente y agnóstica en cuanto a herramientas, procedente del proyecto de código abierto OpenSSF Scorecard. Cada comprobación premia una práctica de seguridad, no la herramienta de un proveedor concreto. Las comprobaciones que Scorecard no pudo determinar se marcan como n/d y se excluyen de la puntuación de seguridad (nunca se cuentan como cero).
| 1 | Binary-Artifacts | binaries present in source code |
| 0 | Branch-Protection | branch protection not enabled on development/release branches |
| 10 | CI-Tests | 2 out of 2 merged PRs checked by a CI test -- score normalized to 10 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 0 | Code-Review | Found 0/28 approved changesets -- score normalized to 0 |
| 10 | Contributors | project has 7 contributing companies or organizations |
| 10 | Dangerous-Workflow | no dangerous workflow patterns detected |
| 10 | Dependency-Update-Tool | update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 10 | License | license file detected |
| 10 | Maintained | 30 commit(s) and 9 issue activity found in the last 90 days -- score normalized to 10 |
| 10 | Packaging | packaging workflow detected |
| 0 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 0 |
| 7 | SAST | SAST tool detected but not run on all commits |
| 0 | Security-Policy | security policy file not detected |
| n/d | Signed-Releases | no releases found |
| 0 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 0 | Vulnerabilities | 23 existing vulnerabilities detected |
Todas las dependencias 38
Conjunto completo de dependencias resueltas según el grafo de dependencias de GitHub: 0 paquetes directos y 38 indirectos (transitivos). El cierre transitivo es completo cuando el repositorio incluye un lockfile.
| Registro | Paquete | Versión | Relación |
|---|---|---|---|
| PyPI | aiofiles | — | indirecta |
| PyPI | aioredis | — | indirecta |
| PyPI | arrow | — | indirecta |
| PyPI | blinker | — | indirecta |
| PyPI | click | — | indirecta |
| PyPI | cryptography | — | indirecta |
| PyPI | ecdsa | — | indirecta |
| PyPI | eth-account | — | indirecta |
| PyPI | fastapi | — | indirecta |
| PyPI | fnc | — | indirecta |
| PyPI | jesse-rust | 1.2.0 | indirecta |
| PyPI | joblib | — | indirecta |
| PyPI | matplotlib | — | indirecta |
| PyPI | mcp | 1.28.1 | indirecta |
| PyPI | msgpack | — | indirecta |
| PyPI | numpy | — | indirecta |
| PyPI | optuna | — | indirecta |
| PyPI | pandas | — | indirecta |
| PyPI | peewee | — | indirecta |
| PyPI | psycopg2-binary | — | indirecta |
| PyPI | pydash | — | indirecta |
| PyPI | pyjwt | — | indirecta |
| PyPI | pytest | — | indirecta |
| PyPI | python-dotenv | — | indirecta |
| PyPI | ray | — | indirecta |
| PyPI | redis | — | indirecta |
| PyPI | requests | — | indirecta |
| PyPI | scikit-learn | — | indirecta |
| PyPI | scipy | — | indirecta |
| PyPI | simplejson | — | indirecta |
| PyPI | starkbank-ecdsa | — | indirecta |
| PyPI | statsmodels | — | indirecta |
| PyPI | tabulate | — | indirecta |
| PyPI | timeloop | — | indirecta |
| PyPI | uvicorn | — | indirecta |
| PyPI | websocket-client | — | indirecta |
| PyPI | websockets | — | indirecta |
| PyPI | wsaccel | — | indirecta |
Avisos de dependencias 0
Este repositorio no publica ningún paquete que el índice resuelva, así que se evaluó su propio grafo de dependencias — 2 paquetes, que incluyen también fijaciones de desarrollo y prueba que nunca se distribuyen: 0 tienen avisos conocidos, de los cuales 0 son directas. 36 no pudieron evaluarse: sin versión resuelta, ecosistema no admitido, o fuera de la lista de paquetes informada.
Ningún aviso conocido afecta a las dependencias evaluadas.
Un aviso significa que la versión registrada en el grafo de dependencias cae dentro del rango afectado de un aviso. No se analiza la alcanzabilidad, y el grafo incluye fijaciones de desarrollo y prueba: un hallazgo puede referirse al utillaje y no al software distribuido.
Informe JSON sin procesar legible por máquina
{
"data": {
"repo": {
"topics": [
"cryptocurrency",
"trading-bot",
"trading-algorithms",
"trading",
"crypto",
"framework",
"algo-trading",
"algorithmic-trading",
"jesse",
"trading-strategies",
"python",
"bot",
"crypto-bot",
"bitcoin",
"trade",
"crypto-bot-trading",
"quantitative-finance",
"quantitative-trading"
],
"is_fork": false,
"size_kb": 102232,
"has_wiki": true,
"homepage": "https://jesse.trade",
"languages": {
"CSS": 1212,
"HTML": 36819,
"Shell": 250,
"Python": 3895743,
"Dockerfile": 703,
"JavaScript": 7332
},
"pushed_at": "2026-08-02T15:53:34Z",
"created_at": "2018-11-09T10:38:44Z",
"owner_type": "Organization",
"updated_at": "2026-08-02T15:58:35Z",
"description": "An advanced crypto trading bot written in Python",
"is_archived": false,
"is_disabled": false,
"license_spdx": "MIT",
"default_branch": "master",
"license_spdx_raw": "MIT",
"primary_language": "Python",
"significant_languages": [
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]
},
"owner": {
"blog": "https://Jesse.Trade",
"name": "Jesse",
"type": "Organization",
"login": "jesse-ai",
"company": null,
"location": "Luxembourg",
"followers": 367,
"avatar_url": "https://avatars.githubusercontent.com/u/44895627?v=4",
"created_at": "2018-11-09T10:35:28Z",
"is_verified": null,
"public_repos": 24,
"account_age_days": 2823
},
"license": {
"state": "standard",
"spdx_id": "MIT",
"raw_spdx": "MIT",
"file_present": true,
"scorecard_found": true,
"profile_has_license": true
},
"activity": {
"releases": [
{
"tag": "v3.0.0",
"kind": "major",
"published_at": "2026-08-01T16:20:58Z"
},
{
"tag": "v2.5.0",
"kind": "minor",
"published_at": "2026-07-06T16:17:43Z"
},
{
"tag": "v2.4.1",
"kind": "patch",
"published_at": "2026-06-29T15:50:46Z"
},
{
"tag": "v2.4.0",
"kind": "minor",
"published_at": "2026-06-15T16:41:19Z"
},
{
"tag": "v2.3.4",
"kind": "patch",
"published_at": "2026-06-06T14:18:14Z"
},
{
"tag": "v2.3.3",
"kind": "patch",
"published_at": "2026-06-03T17:44:21Z"
},
{
"tag": "v2.3.1",
"kind": "patch",
"published_at": "2026-06-03T16:37:26Z"
},
{
"tag": "v2.3.0",
"kind": "minor",
"published_at": "2026-06-03T15:17:23Z"
},
{
"tag": "v2.2.2",
"kind": "patch",
"published_at": "2026-05-31T15:16:45Z"
},
{
"tag": "v2.2.1",
"kind": "patch",
"published_at": "2026-05-30T16:27:35Z"
}
],
"recent_commits": [
{
"oid": "1c9ce36c926b23e51520bfa6818a7ea84501c539",
"body": null,
"is_bot": false,
"headline": "3.0.0",
"author_name": "Saleh Mir",
"author_login": "saleh-mir",
"committed_at": "2026-08-01T16:20:58Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "fc047dff9453b7830f4efeb47123b0efb7ed06cf",
"body": null,
"is_bot": false,
"headline": "Merge remote-tracking branch 'origin/kucoin'",
"author_name": "Saleh Mir",
"author_login": "saleh-mir",
"committed_at": "2026-08-01T15:52:58Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "43a6379c9fd1e7f7438f8ada415177e81502c7fb",
"body": null,
"is_bot": false,
"headline": "fix: serve complete live chart history",
"author_name": "Saleh Mir",
"author_login": "saleh-mir",
"committed_at": "2026-07-30T10:02:32Z",
"body_truncated": false,
"is_coding_agent": false
},
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"headline": "Bump mcp from 1.26.0 to 1.28.1",
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"body": "Document the shared `.claude/skills` setup for both Claude Code and Codex, and add the `.agents/skills` symlink so Codex can discover the canonical skill files. This also updates `AGENTS.md` with the repo-level workflow for scanning and loading matching skills before starting work.",
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"body": "- Add @overload signatures to all scalar-returning indicators so type\n checkers resolve sequential=False -> float and sequential=True -> ndarray\n- Declare post-initiation types for late-initialized Strategy attributes\n (name/symbol/exchange/timeframe/position/broker); hp is now always a dict\n- Typ\n[…]\nes (entry/exit orders, exchange_type,\n daily_balances) and log()'s webhook param\n- Document the strategy-facing typing conventions in AGENTS.md\n\nCo-Authored-By: Claude Fable 5 <noreply@anthropic.com>",
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"headline": "Improve type-checking support for strategy-facing APIs",
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"headline": "Fix MCP backtest route persistence",
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"body": "The plugin releases endpoints moved to the api2 backend. Point the live-plugin\ninstaller's download and the releases-info lookup at JESSE_API2_URL. The license\ncheck (/v2/user-info) is unchanged.\n\nCo-authored-by: Saleh Mir <liveproduction@special.lu>\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
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"headline": "Fetch the Jesse Live plugin (download + releases-info) from api2 (#595)",
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"body": "Adds Kraken enums, info.py entries, and the candle-import drivers\n(incl. kraken_utils) that the jesse_live Kraken live drivers depend on.",
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"headline": "Merge Kraken Pro (Spot + Futures) core support (PR #588)",
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"body": "get_order_by_id did `id in str(o.id)`, which raises\n\"TypeError: 'in <string>' requires string as left operand, not int\"\nwhen the client_id arrives as an int rather than a str. Some exchange\norder-stream payloads carry numeric ids (e.g. Binance algo/strategy order\nids), which crashed the order-status\n[…]\nefore the substring\nmatch. Adds a regression test covering int and None ids.\n\nCo-authored-by: Saleh Mir <liveproduction@special.lu>\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
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"headline": "Fix TypeError in get_order_by_id when client_id is an int (#594)",
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"body": "Disable live_trading for Kraken's public OHLC endpoint (720-candle\nrolling window) and enable backtesting for the leveraged Kraken mode\nthat supports historical data.",
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"headline": "Update Kraken exchange backtesting/live flags",
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"body": "Make the server-authoritative backend the default (was \"local\") so the daily limit\nis enforced by the licensing backend with no env var needed. \"local\" stays available\nas an opt-out via MCP_USAGE_METER=local. Fails open, so a backend outage never\ndisrupts usage.\n\nTests: an autouse fixture forces loc\n[…]\nr the existing local-flow tests; add a\ndefault-is-remote check. All 26 pass.\n\nCo-authored-by: Saleh Mir <liveproduction@special.lu>\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
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"headline": "MCP usage limits: default the meter to \"remote\" (#593)",
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"body": "Reverts the generic webhook driver (custom payload key + JSON template) and its\ntests. _custom_channel_notification returns to handling only Slack/Discord URLs.\nThe Telegram/Discord/Slack notification drivers are unaffected.\n\nCo-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>",
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"body": "Generic webhooks can now shape the request body to whatever the target service\nexpects, instead of a hardcoded {'text': ...}:\n- payload_template: user-supplied JSON of any shape with a {{message}} placeholder\n (substituted at any depth) POSTed verbatim — supports extra/nested fields.\n- payload_key:\n[…]\nld name\n (defaults to 'text'). payload_template takes precedence.\nBoth flow through the stored notification driver config + CSV import/export.\n\nCo-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>",
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"headline": "notifier: configurable webhook payload (custom key + full JSON template)",
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{
"oid": "5c898169ba5e61669d158bcc691410a50ce5ee4a",
"body": "elliottech/lighter-python v1.1.1 (#158, 'allow l2 sig revoke & approve zero\nfees integrator'): the new signer can build a zero-fee integrator approve using\nonly the L2 (API-key) signature. The previous build treated zero max-fees as a\nrevoke ('ApprovalExpiry should be zero when revoking'), so a friction-free\nauto-approve was impossible. Verified live on mainnet (sendTx code 200, no L1).\n\nCo-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>",
"is_bot": false,
"headline": "Lighter: update vendored signer binaries to upstream v1.1.1",
"author_name": "Saleh Mir",
"author_login": null,
"committed_at": "2026-06-15T14:28:38Z",
"body_truncated": false,
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{
"oid": "2a63d91af8f0fccd61919d6a1afa5758b5ab31d6",
"body": "Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>",
"is_bot": false,
"headline": "Bump version to 2.4.0",
"author_name": "Saleh Mir",
"author_login": null,
"committed_at": "2026-06-15T13:01:23Z",
"body_truncated": false,
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},
{
"oid": "07e65ba03bd96f57ebf657c56395f10a4a2edb23",
"body": null,
"is_bot": false,
"headline": "2.4.0",
"author_name": "Saleh Mir",
"author_login": "saleh-mir",
"committed_at": "2026-06-15T12:54:16Z",
"body_truncated": false,
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{
"oid": "5939e96272dedf10595a4d3c6cce2a38603bd254",
"body": "_load_asset_pairs only normalized XBT->BTC, so Dogecoin was exposed as XDG-USD\ninstead of DOGE-USD — it looked 'missing' as DOGE, and XDG-USD then errored\nbecause the trade/WS API only speaks the standard DOGE name. Add a shared\nKraken<->Jesse base-alias map (XBT<->BTC, XDG<->DOGE) applied inbound and in the\noutbound altname fallback.\n\nCo-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>",
"is_bot": false,
"headline": "kraken candle driver: normalize XDG->DOGE alias",
"author_name": "Saleh Mir",
"author_login": null,
"committed_at": "2026-06-14T13:31:24Z",
"body_truncated": false,
"is_coding_agent": true
},
{
"oid": "1fd9bcdcdb50133f9656d5045d3cc56dc6abbb63",
"body": "Backtest candle-import driver for KuCoin (enums KUCOIN_SPOT / KUCOIN_USDT_PERPETUAL,\ninfo.py fees+settle, drivers/KuCoin spot+futures fetchers + symbol mapping).",
"is_bot": false,
"headline": "feat: KuCoin Spot + USDT Perpetual candle-import driver",
"author_name": "Saleh Mir",
"author_login": null,
"committed_at": "2026-06-12T16:35:04Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "ecf119a64b31542cb69c93f74f0f37dff3bac7eb",
"body": "Update requirements.txt to pin jesse-rust==1.2.0 (was 1.1.0). This change upgrades the dependency to the newer release to pick up improvements or fixes in 1.2.0.",
"is_bot": false,
"headline": "Bump jesse-rust to 1.2.0",
"author_name": "Saleh Mir",
"author_login": "saleh-mir",
"committed_at": "2026-06-12T15:36:54Z",
"body_truncated": false,
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{
"oid": "146d345eb1feb792d53c7746fa3b532de958ed25",
"body": "test_fast_mode_equivalence runs the same single-route real-strategy\nbacktest twice (fast_mode=False then True) over deterministic gapless\n1m candles (~5 months, seed 9001) and asserts the trades fingerprint\n(trades_hash, trade counts, net profit, finishing balance, fee) is\nidentical between the two \n[…]\nr\ntoo) that must not be codified here. Verified to pass on master\n@ 0987c304 as well (12.7s) and on this branch (7.6s); suite is now\n501 passed.\n\nCo-Authored-By: Claude Fable 5 <noreply@anthropic.com>",
"is_bot": false,
"headline": "Add fast/step simulator equivalence regression test (clean data)",
"author_name": "Saleh Mir",
"author_login": null,
"committed_at": "2026-06-12T08:43:53Z",
"body_truncated": true,
"is_coding_agent": true
},
{
"oid": "79ac1a491216bea297e95ef4dc31d51664436799",
"body": "…results\n\nTwo slow-but-default pytest tests run full research.backtest() sessions with\nreal strategies adapted from the maintainer's bot project (Alligator multi-TF,\nDonchian-ATR trend, ADX/Williams%R) over seeded synthetic candle windows\n(~1y single-route step-sim; ~6mo x 3 routes fast-sim) and ass\n[…]\n\n\nAlso registers a 'slow' pytest marker (tests/conftest.py) and documents the\npre-existing API-singleton driver-freeze quirk the tests sidestep.\n\nCo-Authored-By: Claude Fable 5 <noreply@anthropic.com>",
"is_bot": false,
"headline": "Add real-strategy regression tests pinned to pre-optimization master …",
"author_name": "Saleh Mir",
"author_login": null,
"committed_at": "2026-06-12T08:09:09Z",
"body_truncated": true,
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{
"oid": "c0bc92f68be3c3005d7b92d7c5b61adf923e7ae4",
"body": "… preservation)\n\nThe reuse in _simulate_new_candles returned the post-jump-fix candle for\npipeline sessions, while historical behavior built the HTF candle from the\npre-fix rows in candles_arr (the pipeline buffer write-back precedes the\nfix). Gating on (storage_1m is not None or candles_pipeline is\n[…]\n all view-backed paths and the exact old behavior for\npipelines. Fingerprints re-verified (gatecheck: fp cc8ab0d73d50ae16, no\nspeed regression).\n\nCo-Authored-By: Claude Fable 5 <noreply@anthropic.com>",
"is_bot": false,
"headline": "Gate the HTF real_candle reuse to non-pipeline paths (strict behavior…",
"author_name": "Saleh Mir",
"author_login": null,
"committed_at": "2026-06-12T07:28:16Z",
"body_truncated": true,
"is_coding_agent": true
},
{
"oid": "7d24a375721b0206b0adbe53e8e19d2deb842e01",
"body": "Comments/docs only — zero behavior change (verified: bench docscheck\nfingerprints cc8ab0d73d50ae16 identical to baseline after these edits).\n\n- docs-perf/REPORT.md: executive summary (suite 79.0s -> 27.5s, 2.88x,\n full per-round table), correctness methodology (fingerprint gating incl.\n trades_has\n[…]\n note the *_last call is bit-for-bit\n identical to the full-series kernel's [-1].\n- DynamicNumpyArray.__getitem__: hot-path restructuring note.\n\nCo-Authored-By: Claude Fable 5 <noreply@anthropic.com>",
"is_bot": false,
"headline": "Docs: review guide + why-comments for the perf-backtests branch",
"author_name": "Saleh Mir",
"author_login": null,
"committed_at": "2026-06-12T07:25:02Z",
"body_truncated": true,
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{
"oid": "15cb00d382ddd115347372eacd7c9a3dd8a2625e",
"body": "In the skip simulator, whenever a route's timeframe count equals the\nsimulation step (always true for single-timeframe sessions), the\nhigher-timeframe candle was rebuilt from the exact same rows that\n_simulate_price_change_effect_multiple_candles had just aggregated into\nreal_candle, through the exa\n[…]\ne\nstorage buffer, so no aliasing is retained.\n\nbench (fast): a 0.33->0.30s, b 5.46->5.41s, c 2.52->2.43s, d 2.11->2.05s;\nfingerprints identical.\n\nCo-Authored-By: Claude Fable 5 <noreply@anthropic.com>",
"is_bot": false,
"headline": "Reuse the step's real candle as the HTF candle when counts align",
"author_name": "Saleh Mir",
"author_login": null,
"committed_at": "2026-06-11T21:25:32Z",
"body_truncated": true,
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},
{
"oid": "55f0ad774c5521d72671c87382e52d7a546a56ce",
"body": "Position.type read qty/_min_qty through up to two stacked property chains\n(is_long -> _min_qty, is_short -> _min_qty) and is_open allocated a list\nper call; type now reads qty and _min_qty once (identical comparisons) and\nis_open compares against 'close'. Pure restructuring of per-call reads --\nno caching, nothing can go stale, safe for live trading.\n\nbench: ~0-1.5% (within noise on b, small gain on c_multi fast);\nfingerprints identical.\n\nCo-Authored-By: Claude Fable 5 <noreply@anthropic.com>",
"is_bot": false,
"headline": "Flatten Position.type/is_open property chains",
"author_name": "Saleh Mir",
"author_login": null,
"committed_at": "2026-06-11T21:14:23Z",
"body_truncated": false,
"is_coding_agent": true
},
{
"oid": "51be56bc5072c8e60f95884d42c81851664aaa80",
"body": "Mirror of the step simulator's prefill (e86ac0d2) for fast mode, which is\nthe default path for dashboard/MCP users. For pipeline-less pairs the\nper-step loop's only input mutations are the step-boundary jumped-candle\nfixes (which read only the previous close, never written by any fix), so\nthey are a\n[…]\nty) with fallback to the old path.\n\nbench (fast): a 0.38->0.34s, b 5.81->5.62s, c 2.78->2.58s, d 2.63->2.43s\nvs round 2; fingerprints identical.\n\nCo-Authored-By: Claude Fable 5 <noreply@anthropic.com>",
"is_bot": false,
"headline": "Prefill 1m candle storage upfront in the skip simulator too",
"author_name": "Saleh Mir",
"author_login": null,
"committed_at": "2026-06-11T21:05:47Z",
"body_truncated": true,
"is_coding_agent": true
},
{
"oid": "20c6b834309458b0d0dcdd627ed93f618119a14f",
"body": "For arrays of <= 8 elements (the buy/sell/stop-loss/take-profit pairs\ncompared every candle), compare elements directly instead of paying\nufunc dispatch — identical float/NaN semantics.\n\nbench: b_heavy_15m:fast 6.09s -> 5.78s, fingerprint identical.\n\nCo-Authored-By: Claude Fable 5 <noreply@anthropic.com>",
"is_bot": false,
"headline": "Scalar-compare tiny order arrays in _np_array_equal",
"author_name": "Saleh Mir",
"author_login": null,
"committed_at": "2026-06-11T20:47:15Z",
"body_truncated": false,
"is_coding_agent": true
},
{
"oid": "3453688e17ad9ceca9ab8f463de36a854be8ab9d",
"body": "- Strategy._detect_and_handle_entry_and_exit_modifications: replace\n np.array_equal with a semantically-identical helper that skips\n numpy's dispatch overhead for the small ndarray pairs compared on\n every candle (~58K calls per heavy backtest).\n- candle_service.get_candles: same logic, but plain\n[…]\nm:fast 6.31s -> 6.09s, fingerprint identical.\ntests: test_parent_strategy/test_state_candle/test_candle_service/\ntest_simulator_parity all pass.\n\nCo-Authored-By: Claude Fable 5 <noreply@anthropic.com>",
"is_bot": false,
"headline": "Cheapen per-candle Python hot paths: array compares and get_candles",
"author_name": "Saleh Mir",
"author_login": null,
"committed_at": "2026-06-11T20:44:21Z",
"body_truncated": true,
"is_coding_agent": true
},
{
"oid": "e86ac0d2db3b9c1af5c189a5cc9f5151f2d9bb24",
"body": "For pipeline-less pairs, gap-fix the whole 1m series once via\njesse_rust.fix_jumped_candles, bulk-copy it into the storage buffer,\nand replace the per-minute add_candle + DynamicNumpyArray.append with\na single index bump. Guards (dtype/writeable/zero-ts/strictly\nincreasing timestamps/warmup continui\n[…]\nexactly as before.\n\nbench: a_simple_1h:step 2.21s -> 1.25s, b_heavy_15m:step 11.85s ->\n7.56s (1.81x / 1.57x vs round 1), fingerprints identical.\n\nCo-Authored-By: Claude Fable 5 <noreply@anthropic.com>",
"is_bot": false,
"headline": "Prefill 1m candle storage upfront in the step simulator",
"author_name": "Saleh Mir",
"author_login": null,
"committed_at": "2026-06-11T20:39:44Z",
"body_truncated": true,
"is_coding_agent": true
},
{
"oid": "cdd8b8e618b01d7ea59b49b9e3a8aae8fae4f297",
"body": "generate_candle_from_one_minutes and the real_candle construction in\n_simulate_price_change_effect_multiple_candles now call\njesse_rust.candle_from_one_minutes (bit-exact vs the numpy expression,\nverified for all block sizes <= 4320 rows; numpy fallback above).\n\nbench: b_heavy_15m:fast 6.82s -> 6.31s, a_simple_1h:step 2.27s -> 2.21s,\nfingerprints identical.\n\nCo-Authored-By: Claude Fable 5 <noreply@anthropic.com>",
"is_bot": false,
"headline": "Build higher-timeframe candles via the jesse_rust kernel",
"author_name": "Saleh Mir",
"author_login": null,
"committed_at": "2026-06-11T20:32:16Z",
"body_truncated": false,
"is_coding_agent": true
},
{
"oid": "23ec9fe110df0bc7578547dbb42b7d6b2e3d4e12",
"body": "ema/sma/rsi/atr/bollinger_bands now call the new jesse_rust *_last\nfunctions when sequential=False: identical recurrence (bitwise-equal\noutput), but no full-series allocation, no [-1] indexing, and no\nastype(float64) copy in bollinger_bands when the source is already\nf64 (the Rust side accepts strided views).\n\nbench: b_heavy_15m:fast 9.90s -> 6.82s (1.45x vs round 1),\nfingerprint identical. tests/test_indicators.py: 178 passed.\n\nCo-Authored-By: Claude Fable 5 <noreply@anthropic.com>",
"is_bot": false,
"headline": "Use jesse_rust scalar *_last indicator kernels for sequential=False",
"author_name": "Saleh Mir",
"author_login": null,
"committed_at": "2026-06-11T20:25:46Z",
"body_truncated": false,
"is_coding_agent": true
},
{
"oid": "fdbd016691a5a1f4edebcdd380b005fb9f573cd4",
"body": "The previous membership-test version still went through\nMapping.__contains__, which internally raises/catches KeyError on every\ncall when the env var is absent — that lookup alone was ~0.5s per heavy\nbacktest via get_config() -> slice_candles() on every indicator call.\n\nNew logic: if 'pytest' is in \n[…]\n failures, 80 passed).\n\nBench b_heavy_15m fast: 10.29s -> 9.85s (-12.2% vs baseline 11.22s).\nFingerprint 760596ae71bcce7b identical to baseline.\n\nCo-Authored-By: Claude Fable 5 <noreply@anthropic.com>",
"is_bot": false,
"headline": "Make is_unit_testing() near-free outside pytest processes",
"author_name": "Saleh Mir",
"author_login": null,
"committed_at": "2026-06-11T20:01:38Z",
"body_truncated": true,
"is_coding_agent": true
},
{
"oid": "30dcc470d3026df4e3b5fac327893374ddbf92c2",
"body": "- _simulate_price_change_effect: only re-add the real candle to storage\n when at least one order actually executed (i.e. partial candles were\n written that need to be overwritten). When nothing executed, the\n caller (_step_simulator) added this exact candle object immediately\n before, so the sec\n[…]\ne 5.33s),\nb_heavy_15m step 14.65s -> 12.17s (-24.8% vs baseline 16.17s).\nFingerprints cc8ab0d73d50ae16 / 760596ae71bcce7b identical to baseline.\n\nCo-Authored-By: Claude Fable 5 <noreply@anthropic.com>",
"is_bot": false,
"headline": "Skip redundant candle re-store and duplicate position lookup per minute",
"author_name": "Saleh Mir",
"author_login": null,
"committed_at": "2026-06-11T19:56:34Z",
"body_truncated": true,
"is_coding_agent": true
},
{
"oid": "5dfa632078fd4c70c86f28ecc097a313f5aaef43",
"body": "Precompute once before the loop instead of per minute (x ~260K-1M):\n- per-route candle arrays / pipelines / exchange / symbol tuples\n (replaces 3 dict lookups per route per minute)\n- (timeframe, minutes) pairs for higher-timeframe generation (replaces\n config['app']['considering_timeframes'] looku\n[…]\n.05s (-20%; -42.8% vs baseline 5.33s),\nfast 0.74s -> 0.60s (combined with previous commits).\nFingerprint cc8ab0d73d50ae16 identical to baseline.\n\nCo-Authored-By: Claude Fable 5 <noreply@anthropic.com>",
"is_bot": false,
"headline": "Hoist loop invariants out of the _step_simulator per-minute loop",
"author_name": "Saleh Mir",
"author_login": null,
"committed_at": "2026-06-11T19:52:35Z",
"body_truncated": true,
"is_coding_agent": true
},
{
"oid": "8048b4cb6efe4c14b631a0ed1f19a8838ebd9d3e",
"body": "…, keys)\n\n- utils.timeframe_to_one_minutes: use the existing module-level\n TIMEFRAME_TO_ONE_MINUTES constant instead of rebuilding a 17-entry\n dict + running two function-level imports on every call (~145K calls\n per heavy backtest). Error path unchanged (same InvalidTimeframe).\n- helpers.timefra\n[…]\nn: inline jh.key() f-strings.\n\nBench b_heavy_15m fast: 11.22s -> 10.29s (-8.3% vs baseline).\nFingerprint 760596ae71bcce7b identical to baseline.\n\nCo-Authored-By: Claude Fable 5 <noreply@anthropic.com>",
"is_bot": false,
"headline": "Cheapen per-indicator-call helpers (timeframe lookup, is_unit_testing…",
"author_name": "Saleh Mir",
"author_login": null,
"committed_at": "2026-06-11T19:50:01Z",
"body_truncated": true,
"is_coding_agent": true
},
{
"oid": "c9d33d0920ac9ddd539e938b9f0f29be9f00e376",
"body": "- _simulate_price_change_effect: skip the candle copy and the execution\n while-loop entirely when no order falls inside the candle (the common\n case); the closing add_candle + position price update now run once at\n the tail, which is exactly what the old loop's single break path did.\n Removed re\n[…]\n baseline 5.33s),\nb_heavy_15m step 16.17s -> 14.65s (-9.4% vs baseline). Fingerprints\ncc8ab0d73d50ae16 / 760596ae71bcce7b identical to baseline.\n\nCo-Authored-By: Claude Fable 5 <noreply@anthropic.com>",
"is_bot": false,
"headline": "Early-exit order simulation paths in the per-minute hot loop",
"author_name": "Saleh Mir",
"author_login": null,
"committed_at": "2026-06-11T19:46:25Z",
"body_truncated": true,
"is_coding_agent": true
},
{
"oid": "e2860dc4d3c8195d1e7b0f0a42b6bc11351798ee",
"body": "…mpyArray)\n\n- add_candle: read the last candle's timestamp once as a scalar\n (arr.array[index, 0]) instead of up to 3 arr[-1][0] row-view builds per\n call; write last-candle updates directly (arr.array[index] = candle);\n hoist the duplicated jh.is_live() call; early-return on initial append.\n- Ca\n[…]\nse-branch)\npreserved.\n\nBench a_simple_1h: step 5.33s -> 4.27s (-19.9%), fast 0.74s -> 0.72s.\nFingerprint cc8ab0d73d50ae16 identical to baseline.\n\nCo-Authored-By: Claude Fable 5 <noreply@anthropic.com>",
"is_bot": false,
"headline": "Cheapen hot candle-storage access (add_candle, get_storage, DynamicNu…",
"author_name": "Saleh Mir",
"author_login": null,
"committed_at": "2026-06-11T19:42:29Z",
"body_truncated": true,
"is_coding_agent": true
},
{
"oid": "f86521f80293fc0311c99238e435e0fb30657721",
"body": "In research/backtest sessions outside a Jesse project the per-trade\nClosedTrade.update() always raised 'Query must be bound to a database',\ngot caught, and pretty-printed a debugging block to the terminal for\nevery closed trade. Guard on database.is_open() instead — exactly the\ncases that previously\n[…]\nrminal I/O.\n\nBench: a_simple_1h step 5.33s -> 5.33s (neutral here; scales with trade\ncount), fingerprint cc8ab0d73d50ae16 identical to baseline.\n\nCo-Authored-By: Claude Fable 5 <noreply@anthropic.com>",
"is_bot": false,
"headline": "Skip closed-trade DB write when no database is available",
"author_name": "Saleh Mir",
"author_login": null,
"committed_at": "2026-06-11T19:39:58Z",
"body_truncated": true,
"is_coding_agent": true
},
{
"oid": "41d0f80424244aef24b482ef1c8c526a557a0a16",
"body": "Adds KRAKEN_SPOT / KRAKEN_PERPETUAL / KRAKEN_PERPETUAL_TESTNET enums and info.py\nentries, plus REST candle-import drivers used for live warm-up candles:\n- Kraken Spot (api.kraken.com /0/public/OHLC; rolling ~720-candle window so\n backtesting=False; OHLC time is seconds -> ms, candle open-time, olde\n[…]\nutures.kraken.com charts API; time already in ms, deep history).\nBoth translate Jesse BASE-USD symbols to Kraken naming (XBT<->BTC, PF_ perps).\n\nCo-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>",
"is_bot": false,
"headline": "Add Kraken Pro Spot + Futures: enums, info.py, candle-import drivers",
"author_name": "Saleh Mir",
"author_login": null,
"committed_at": "2026-06-08T18:41:10Z",
"body_truncated": true,
"is_coding_agent": true
},
{
"oid": "e499b3eae3f24be246ddb306e0d509a0807a2b59",
"body": "Rebuilt jesse/static from the current dashboard-v1 master, which includes the merged\noptimizationStore.ts _ensureResultsShape fix (recovers MCP-created + older optimization\nsessions that previously failed to load). Generated via dashboard-v1 'npm run generate'.\n\nCo-authored-by: Saleh Mir <liveproduction@special.lu>\nCo-authored-by: Claude Opus 4.8 <noreply@anthropic.com>",
"is_bot": false,
"headline": "Rebuild dashboard static (optimization session-loading fix) (#587)",
"author_name": "Saleh Mir",
"author_login": "saleh-mir",
"committed_at": "2026-06-08T17:37:55Z",
"body_truncated": false,
"is_coding_agent": true
},
{
"oid": "04f7e8528328fc4862205a54c9e6eb36ac6cffb4",
"body": "Rebuilt jesse/static from the current dashboard-v1 master, which includes the merged\noptimizationStore.ts _ensureResultsShape fix (recovers MCP-created + older optimization\nsessions that previously failed to load). Generated via dashboard-v1 'npm run generate'.\n\nCo-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>",
"is_bot": false,
"headline": "Rebuild dashboard static (optimization session-loading fix)",
"author_name": "Saleh Mir",
"author_login": null,
"committed_at": "2026-06-08T17:34:31Z",
"body_truncated": false,
"is_coding_agent": true
},
{
"oid": "0987c304d7f276cfc09c942e53d4c39c9395b8ee",
"body": "create_optimization_draft_service persisted an incomplete session results state ({alert}\nonly). The dashboard's loadSession patches that state in and then reads\nresults.progressbar.current / results.exception.error directly, so MCP-created sessions\ncrashed with 'Failed to load session' (dashboard-ru\n[…]\nready-saved broken sessions).\nThe dashboard must be rebuilt into jesse/static at release.\n\nCo-authored-by: Saleh Mir <liveproduction@special.lu>\nCo-authored-by: Claude Opus 4.8 <noreply@anthropic.com>",
"is_bot": false,
"headline": "Fix MCP optimization sessions failing to load in the dashboard (#586)",
"author_name": "Saleh Mir",
"author_login": "saleh-mir",
"committed_at": "2026-06-08T17:30:16Z",
"body_truncated": true,
"is_coding_agent": true
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{
"oid": "3ed65ff6837242090b4ca9391d5067e9344fc249",
"body": "jesse/services/env.py validates that a project .env exists at import time and, if\nmissing, called jh.error(). But jh.error() -> is_live() -> jesse.config ->\njesse.modes.utils -> jesse.services.logger -> jesse.services.redis, and\nservices.redis is exactly what imports env.py — so it is still mid-impo\n[…]\n process exits cleanly. Behaviour with a valid .env\nis unchanged; full suite still green.\n\nCo-authored-by: Saleh Mir <liveproduction@special.lu>\nCo-authored-by: Claude Opus 4.8 <noreply@anthropic.com>",
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"headline": "Fix circular-import crash when a project .env is missing (#585)",
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"body": "Introduce _print_import_progressbar to render a compact visual progress bar for CLI/research candle imports (show_progressbar=True). The new helper builds a 32-char bar using filled/empty blocks, clamps the filled width, formats a human-readable ETA (h/m/s), and displays the symbol, exchange, percent, reached date, and ETA. Replace the previous single-line progress print in run() with a call to this helper for clearer import feedback.",
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"headline": "Bump version to 2.3.4",
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"body": "Guests (no license token) get 0 research runs by default; the message states a free account is required (no premium mention). Free 100/day and paid unlimited unchanged. Client-side; fail-open only on a real backend error.",
"is_bot": false,
"headline": "MCP usage limits: guests need an account (0 runs by default) (#584)",
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"body": "… and Monte Carlo runs\n\nfast_mode now defaults to True in create_backtest_draft (tool + service) and\nthe Monte Carlo run-payload fallback, matching the existing optimization default.\nResource docs updated to reflect the new defaults.\n\nCo-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>",
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"headline": "feat(mcp): enable fast_mode by default for all MCP-executed backtests…",
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"body": "MCP usage limits: daily free-plan allowance for research runs (client-side)",
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"headline": "Merge pull request #583 from jesse-ai/feat/mcp-usage-limits",
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"committed_at": "2026-06-05T15:47:10Z",
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"body": "Per Saleh: a missing license token now means GUEST (not fail-open) — metered at a\nsmaller daily budget (50) and nudged to log in when over. A logged-in non-paid\nuser is FREE (100/day, nudged to upgrade to premium). Paid plans stay unlimited.\nOnly a real backend error (token present but /v2/user-info\n[…]\nis client-side (local Redis daily counter) and fail-open, per Saleh's call: a\nsoft nudge toward premium, not a hard wall (a determined user can bypass it).\n\nAdds a paid-plans test and updates the doc.",
"is_bot": false,
"headline": "mcp limits",
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"body": "Fix fast/full simulator divergence on synthetic (Monte Carlo) candles",
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"headline": "Merge pull request #582 from jesse-ai/fix/backtest-fastmode-parity",
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"body": "The step simulator (fast_mode=False) built higher-timeframe candles and its\ngap-fix reference from the ORIGINAL candles array, because it never wrote the\npipeline's synthetic candle back into it (the skip simulator does). So with a\ncandle pipeline active (Monte Carlo), the strategy's indicators were\n[…]\nPipeline, plus a\nregression test asserting fast and full feed the strategy identical candles\nunder a pipeline (the test fails before this fix).\n\nCo-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>",
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"body": "The full step-simulator blows up on synthetic bootstrapped candles for\nrisk-sized strategies: positions get sized off a momentarily tiny ATR, the\nbalance compounds into an overflow, and scenarios die with InsufficientMargin\n/ Infinity (the Infinity also broke the session API's JSON, surfacing as\n\"In\n[…]\noff produce byte-identical results (a\npre-existing step-vs-skip simulator divergence on synthetic candles) is in\nprogress on a separate branch.\n\nCo-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>",
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"headline": "MCP/dashboard Monte Carlo: default fast_mode=True (robust path)",
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"body": "Parity with the other modes' resources (jesse://monte_carlo,\njesse://significance_test, jesse://backtest_management): a per-feature guide that\nthe resources loader auto-registers from the .md filename. Documents the\ntrain/test split, the hyperparameters() precondition, objective functions,\nper-hyper\n[…]\nal counts, train-vs-test overfit interpretation, the full\ntool reference, an adaptive check schedule, the standard workflow, and common\nerrors.\n\nCo-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>",
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"body": "Mirrors the Monte Carlo MCP tools so an agent can stage, run, and poll\nhyperparameter optimizations with the same draft/run/poll workflow it already\nuses for backtests, RST, and Monte Carlo.\n\n- jesse/mcp/tools/services/optimization.py: service layer over the /optimization\n HTTP endpoints. Folds obj\n[…]\nand 10 ranked candidates (train/test Sharpe per candidate); a no-data symbol\nstops fast with a clear \"import candles for both windows\" message.\n\nCo-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>",
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"body": "The two set_config tests mutated Jesse's module-global config, which leaks into\nlater tests in the same process: reset_config() rebinds the config global and\nuses a shallow backup_config, and several mode helpers are lru_cached, so the\nmutations couldn't be cleanly contained without breaking other g\n[…]\nonte Carlo / optimization run.\n\nFull suite now passes (477 passed) under the CI invocation\n(PYTEST_DISABLE_PLUGIN_AUTOLOAD=1 python -m pytest).\n\nCo-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>",
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"body": "Host the Lighter native signer binaries in the jesse package (like Apex's omni_files), so\nthey ship as plain package data in jesse's pure-Python wheel. jesse-live's compiled\ncibuildwheel build runs auditwheel/delocate, which reject these prebuilt binaries (macOS-26\ndylib, too-recent GLIBC in the Go .so); the pure-Python jesse wheel has no such repair step.\nThe jesse-live Lighter signer loads them from this package at runtime.\n\nCo-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>",
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"points": 0,
"status": "excluded",
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{
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}
],
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{
"key": "openssf_scorecard_code_review",
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"points": 0,
"status": "missed",
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]
},
{
"key": "stewardship",
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{
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{
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{
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},
{
"key": "track_record",
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"points": 22.2,
"status": "partial",
"details": [
{
"code": "public_repos",
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},
{
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}
],
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]
},
{
"key": "package_maintenance",
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"components": [
{
"key": "published_resolvable",
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"points": 25,
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{
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{
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{
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}
],
"description": "Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?"
},
{
"key": "engineering",
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"name": "Engineering Quality",
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"note": null,
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{
"key": "tests_present",
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{
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},
{
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}
],
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{
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"components": [
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}
},
{
"code": "weights_renormalized",
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}
],
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"scorecard_version": "v5.5.0",
"checks_inconclusive": 1,
"scorecard_aggregate": 4.3
},
"components": [
{
"key": "binary_artifacts",
"name": "Binary-Artifacts",
"detail": "binaries present in source code",
"points": 0.8,
"status": "partial",
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},
{
"key": "branch_protection",
"name": "Branch-Protection",
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"points": 0,
"status": "missed",
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},
{
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},
{
"key": "cii_best_practices",
"name": "CII-Best-Practices",
"detail": "no effort to earn an OpenSSF best practices badge detected",
"points": 0,
"status": "missed",
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},
{
"key": "code_review",
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"points": 0,
"status": "missed",
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},
{
"key": "contributors",
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},
{
"key": "dangerous_workflow",
"name": "Dangerous-Workflow",
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"status": "met",
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},
{
"key": "dependency_update_tool",
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"detail": "update tool detected",
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"status": "met",
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},
{
"key": "fuzzing",
"name": "Fuzzing",
"detail": "project is not fuzzed",
"points": 0,
"status": "missed",
"details": [],
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},
{
"key": "license",
"name": "License",
"detail": "license file detected",
"points": 2.5,
"status": "met",
"details": [],
"max_points": 2.5
},
{
"key": "maintained",
"name": "Maintained",
"detail": "30 commit(s) and 9 issue activity found in the last 90 days -- score normalized to 10",
"points": 7.5,
"status": "met",
"details": [],
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},
{
"key": "packaging",
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"points": 5,
"status": "met",
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},
{
"key": "pinned_dependencies",
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"detail": "dependency not pinned by hash detected -- score normalized to 0",
"points": 0,
"status": "missed",
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},
{
"key": "sast",
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"points": 3.5,
"status": "partial",
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},
{
"key": "security_policy",
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"detail": "security policy file not detected",
"points": 0,
"status": "missed",
"details": [],
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},
{
"key": "signed_releases",
"name": "Signed-Releases",
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"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 7.5
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{
"key": "token_permissions",
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"points": 0,
"status": "missed",
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},
{
"key": "vulnerabilities",
"name": "Vulnerabilities",
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"status": "missed",
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}
]
},
{
"key": "dependency_advisories",
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"name": "Dependency advisories",
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"notes": [
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"code": "excluded_no_data",
"params": {
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{
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},
{
"code": "advisories_scope_repository",
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}
},
{
"code": "advisories_unassessed",
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}
},
{
"code": "advisories_repo_graph_caveat",
"params": {}
},
{
"code": "advisories_reachability",
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}
],
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"affected_packages": 0,
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"unassessed_packages": 36,
"affected_by_severity": "none",
"direct_affected_packages": 0
},
"components": [
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"key": "direct_dependencies_free_of_known_advisories",
"name": "Direct dependencies free of known advisories",
"detail": "no direct dependency carries a known advisory",
"points": 35,
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}
],
"max_points": 35
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{
"key": "indirect_dependencies_free_of_known_advisories",
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"points": 0,
"status": "excluded",
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"code": "advisories_scope_not_separable",
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],
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{
"key": "no_advisories_left_outstanding",
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"status": "excluded",
"details": [
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"code": "advisories_no_publication_date",
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],
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}
]
},
{
"key": "malicious_dependencies",
"band": "exceptional",
"name": "Malicious dependencies",
"note": null,
"notes": [],
"value": 100,
"inputs": {
"source": "osv",
"meaning": "reported as a malicious package by the OpenSSF corpus; the remedy is removal or moving off the compromised name, never an upgrade of the same artifact. Versions the registry has since pulled are listed but not scored",
"packages": [],
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"malicious_packages": 0,
"direct_malicious_packages": 0,
"withdrawn_malicious_packages": 0,
"installable_malicious_packages": 0
},
"components": [
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}
]
},
{
"key": "high_risk_jurisdiction_exposure",
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"name": "High-Risk Jurisdiction Exposure",
"note": "Only high-confidence self-published location evidence affects this multiplier. Ambiguous matches are review-only; country evidence is not proof of nationality, citizenship, legal registration, malicious intent, or sanctions status.",
"notes": [
{
"code": "jurisdiction_evidence_limits",
"params": {}
}
],
"value": 100,
"inputs": {
"meaning": "self-published location evidence; not nationality or citizenship",
"red_flag": false,
"exposures": [],
"policy_countries": [
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"Iran",
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"min_commit_share": 0.1
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"review_only_matches": 0,
"below_threshold_exposures": [],
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},
"components": [
{
"key": "policy_exposure_multiplier",
"name": "Policy exposure multiplier",
"detail": "no confirmed policy-scope location match",
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"status": "met",
"details": [
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"code": "jurisdiction_no_match",
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}
],
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]
}
],
"description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
},
{
"key": "ai_readiness",
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"name": "AI Readiness",
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"metrics": [
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"key": "ai_agent_context",
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"name": "Agent context & guidance",
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"points": 31.8,
"status": "partial",
"details": [
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"code": "legible_history",
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}
],
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]
},
{
"key": "ai_verify_loop",
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{
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{
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"points": 0,
"status": "missed",
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},
{
"key": "reproducible_environment",
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"status": "met",
"details": [
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"code": "file_list",
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{
"key": "demonstrated_agent_practice",
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"points": 10,
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"code": "agent_authored_commits",
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],
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{
"key": "automated_maintenance",
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"details": [
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"code": "dependency_bot_commits",
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],
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{
"key": "openssf_scorecard_pinned_dependencies",
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"notes": [],
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"inputs": {
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"largest_source_bytes": 6915612,
"source_files_sampled": 1106,
"oversized_source_files": 53
},
"components": [
{
"key": "type_checkable_code",
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"detail": "Python without a type-check config",
"points": 0,
"status": "missed",
"details": [
{
"code": "no_typecheck_config_language",
"params": {
"language": "Python"
}
}
],
"max_points": 45
},
{
"key": "manageable_file_sizes",
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"points": 52.4,
"status": "partial",
"details": [
{
"code": "oversized_source_files",
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}
],
"max_points": 55
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]
}
],
"description": "How well is the repo equipped to be developed and maintained with AI coding agents? Carries a deliberately small weight: agent tooling is a real maintenance signal, but its absence must never gate the top of the scale (calibration saturates at raw 91, so 100/100 remains reachable with AI Readiness at zero)."
}
],
"classification": {
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"scores": {
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"framework": 2
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{
"tier": "tags",
"label": "framework",
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"weight": 2
}
],
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"host_extension": false,
"runs_as_process": false,
"consumed_by_code": true
},
"metrics_version": "2.3.1"
},
"warnings": [
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"deps.dev does not index pypi:jesse@3.0.0; advisories assessed against the repository dependency graph instead"
],
"report_type": "repository",
"generated_at": "2026-08-02T16:00:35.607293Z",
"schema_version": "0.27.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/j/jesse-ai/jesse.svg",
"full_name": "jesse-ai/jesse",
"license_state": "standard",
"license_spdx": "MIT"
}Las puntuaciones son señales, no garantías. Reflejan prácticas públicamente visibles en GitHub; no son una auditoría de código ni una garantía de seguridad.
Los datos ausentes se excluyen y los pesos se renormalizan; nunca se puntúan como cero. La metodología es versionada y abierta: métricas v2.3.1, esquema v0.27.0 — metodología completa · wiki de métricas.
Cómo se sitúa un resultado dentro del registro general: estadísticas agregadas — PyPI.