Registro públicoEn riesgo
Informe de salud del softwareesquema 0.27.0 · métricas 1.13.0 · 2026-07-26 17:28 UTC
reap-labs / reap
Find and cut wasted GPU spend in Kubernetes. Static checks for ML/GPU workloads, from your CI to your cluster.
reap-labs/reap tiene un índice de salud de 43 sobre 100, lo que lo sitúa en la banda En riesgo. Su puntuación más alta es Engineering Quality (70/100) y la más baja, Sustainability & Governance (14/100). Se actualizó por última vez hace 6 días. Una sola persona concentra la mayor parte del trabajo reciente.
43
global / 100Índice de salud del software
Las métricas se agrupan en categorías ponderadas sobre una escala de 1 a 100. El resultado global parte de su media; cuando la evidencia pública activa la Política de Jurisdicciones de Alto Riesgo, la calificación se ajusta y recibe el límite 49 (En riesgo). Preparación para IA queda fuera.
43
Excelente85-100Ejemplar; cumple prácticamente todos los criterios evaluados
Bueno70-84Saludable; carencias menores
Moderado50-69Aceptable con carencias notables; se recomienda revisión
En riesgo30-49Debilidades significativas; su adopción exige cautela
Crítico1-29Problemas 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.
Titularidad
reap-labsOrganización
0 seguidores1 repositorio públicodesde jul 2026
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 |
|---|---|---|---|---|---|
| Go | github.com/emphity1/reapapunta a otro repositorio; no se puntúa | v0.2.2 | - | 4 | hace 6 días |
Métricas por categoría
Vitalidad
¿Está vivo el proyecto: se escribe código y se publican versiones?
67
Actividad de desarrollo
51Moderado
Cómo se puntúa
| 36/36 | Recencia de push — último push hace 6 días |
| 1.4/36 | Cadencia de commits — 2/52 semanas con commits |
| 13.3/18 | Volumen de commits — 29 commits en el último año |
| 0/10 | OpenSSF Scorecard: Maintained — project was created within the last 90 days. Please review its contents carefully |
Datos de entrada utilizados
| commits_last_year | 29 |
| human_commit_share | 1 |
| days_since_last_push | 6 |
| active_weeks_last_year | 2 |
Disciplina de publicación
90Excelente
Cómo se puntúa
| 27/27 | Publica versiones — 4 versiones publicadas |
| 36/36 | Recencia de las versiones — última versión hace 6 días |
| 27/27 | Cadencia de publicación — una versión cada ~0,3 días |
| 0/10 | OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases. |
Datos de entrada utilizados
| releases_count | 4 |
| latest_release_tag | v0.2.2 |
| releases_from_tags | no |
| days_since_latest_release | 6 |
| mean_days_between_releases | 0,3 |
Comunidad y Adopción
¿Tiene el proyecto usuarios, descargas, atención y unas condiciones acogedoras para quienes contribuyen?
33
Popularidad y adopción
1Crítico
Cómo se puntúa
| 0/60 | Estrellas — 1 estrellas |
| 0/25 | Forks — 0 forks |
| 0/15 | Observadores — 0 observadores |
Datos de entrada utilizados
| forks | 0 |
| stars | 1 |
| watchers | 0 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Salud de la comunidad
70Bueno
Cómo se puntúa
| 22.5/22.5 | README |
| 22.5/22.5 | Licencia — licencia reconocida (Apache-2.0) |
| 18/18 | 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 |
| has_contributing | sí |
| has_issue_template | no |
| has_code_of_conduct | no |
| 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?
14
Cómo se puntúa
| 9/54 | Factor bus — la mitad de los commits recae en 1 contribuyente(s) |
| 0/22.5 | Distribución de commits — el principal contribuyente firma el 100% de los commits |
| 1.4/13.5 | Amplitud de contribuyentes — 1 contribuyentes |
| 0/10 | OpenSSF Scorecard: Contributors — project has 0 contributing companies or organizations -- score normalized to 0 |
Datos de entrada utilizados
| bus_factor | 1 |
| contributors_sampled | 1 |
| top_contributor_share | 1 |
Cómo se puntúa
| 0/46.8 | Resolución de issues — sin issues o sin datos |
| 0/38.3 | Aceptación de PR — sin PR decididos o sin datos |
| 0/15 | OpenSSF Scorecard: Code-Review — Found 0/29 approved changesets -- score normalized to 0 |
Datos de entrada utilizados
| merged_prs | 0 |
| open_issues | 0 |
| closed_issues | 0 |
| issue_closed_ratio | — |
| closed_unmerged_prs | 0 |
Excluidos de la puntuación (sin datos o no aplicable): Resolución de issues, Aceptación de PR. Los pesos restantes se han renormalizado.
Propiedad y custodia
32En riesgo
Cómo se puntúa
| 30/30 | Respaldo de la propiedad — propiedad de una organización |
| 0/20 | Dominio verificado |
| 0/25 | Alcance del propietario — 0 seguidores de reap-labs |
| 2.2/25 | Trayectoria — 1 repos públicos, cuenta de ~0 años |
Datos de entrada utilizados
| followers | 0 |
| owner_type | Organization |
| is_verified | — |
| owner_login | reap-labs |
| public_repos | 1 |
| account_age_days | 4 |
Calidad de Ingeniería
¿Existen unas prácticas mínimas de ingeniería y documentación?
70
Prácticas de ingeniería
60Moderado
Cómo se puntúa
| 24/24 | Flujos de trabajo de CI — 2 flujo(s) de trabajo |
| 24/24 | Pruebas presentes |
| 0/16 | Configuración de linter |
| 0/9.6 | Hooks de pre-commit |
| 0/6.4 | .editorconfig |
| 0/20 | OpenSSF Scorecard: CI-Tests — sin datos |
Datos de entrada utilizados
| has_ci | sí |
| has_tests | sí |
| has_editorconfig | no |
| has_linter_config | no |
| has_precommit_config | no |
Excluidos de la puntuación (sin datos o no aplicable): OpenSSF Scorecard: CI-Tests. Los pesos restantes se han renormalizado.
Documentación
85Excelente
Cómo se puntúa
| 30/30 | README |
| 25/25 | Directorio de documentación |
| 0/15 | Sitio de documentación / página del proyecto |
| 10/10 | Descripción del repositorio |
| 10/10 | Topics — 8 topics |
| 10/10 | Wiki |
Datos de entrada utilizados
| topics | cost-optimization, devops, finops, gpu, helm, kubernetes, linter, mlops |
| has_wiki | sí |
| homepage | — |
| has_readme | sí |
| has_docs_dir | sí |
| has_description | sí |
Seguridad
¿Son sólidas las prácticas visibles de seguridad y de cadena de suministro, sin exposición jurisdiccional de alto riesgo sin resolver?
32
Postura de seguridad
32En riesgo
Cómo se puntúa
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 0/7.5 | Branch-Protection — branch protection not enabled on development/release branches |
| 0/2.5 | CI-Tests — sin datos |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 0/7.5 | Code-Review — Found 0/29 approved changesets -- score normalized to 0 |
| 0/2.5 | Contributors — project has 0 contributing companies or organizations -- score normalized to 0 |
| 10/10 | Dangerous-Workflow — no dangerous workflow patterns detected |
| 0/7.5 | Dependency-Update-Tool — no update tool detected |
| 0/5 | Fuzzing — project is not fuzzed |
| 2.5/2.5 | Licencia — license file detected |
| 0/7.5 | Maintained — project was created within the last 90 days. Please review its contents carefully |
| 5/5 | Packaging — packaging workflow detected |
| 0/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
| 0/5 | SAST — no SAST tool detected |
| 0/5 | Security-Policy — security policy file not detected |
| 0/7.5 | Signed-Releases — Project has not signed or included provenance with any releases. |
| 0/7.5 | Token-Permissions — detected GitHub workflow tokens with excessive permissions |
| 7.5/7.5 | Vulnerabilities — 0 existing vulnerabilities detected |
Datos de entrada utilizados
| source | openssf_scorecard |
| checks_evaluated | 17 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 1 |
| scorecard_aggregate | 3,2 |
Excluidos de la puntuación (sin datos o no aplicable): ci_tests. Los pesos restantes se han renormalizado.
Preparación para IA
¿Hasta qué punto está el repositorio preparado para desarrollarse y mantenerse con agentes de codificación de IA? Es una insignia independiente y experimental — peso 0,0, de modo que se presenta por separado y no afecta a la puntuación de salud global.
57
Contexto y guía para agentes
40En riesgo
Cómo se puntúa
| 0/45 | Instrucciones para agentes — sin CLAUDE.md / AGENTS.md / reglas de editor |
| 0/15 | Documentación legible por máquinas (llms.txt) |
| 40/40 | Historial de commits legible — 27 de 29 commits humanos declaran su intención (asunto estructurado o cuerpo explicativo) |
Datos de entrada utilizados
| has_llms_txt | no |
| legible_history_share | 0,931 |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
Cómo se puntúa
| 18/18 | Arranque con un solo comando — Makefile |
| 22/22 | Pruebas automatizadas |
| 0/11 | Configuración de lint / formato |
| 11/11 | Verificación estática de tipos — Go (tipado estático) |
| 10/10 | Entorno reproducible — Dockerfile, lockfile |
| 0/10 | Práctica demostrada con agentes — ningún commit con autoría de agente entre los últimos 29 |
| 0/8 | Mantenimiento automatizado — no se observan 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 | go.sum |
| has_dockerfile | sí |
| typed_language | sí |
| bootstrap_files | Makefile |
| has_devcontainer | no |
| has_linter_config | no |
| typecheck_configs | — |
| agent_commit_share | 0 |
| toolchain_manifests | go.mod |
| dependency_bot_commit_share | 0 |
Legibilidad del código para modelos
100Excelente
Cómo se puntúa
| 45/45 | Código verificable por tipos — Go (tipado estático) |
| 55/55 | Tamaños de archivo manejables — 0/42 archivos fuente de más de 60 KB |
Datos de entrada utilizados
| primary_language | Go |
| largest_source_bytes | 8251 |
| source_files_sampled | 42 |
| oversized_source_files | 0 |
Interfaces legibles por máquina
40En riesgo
Cómo se puntúa
| 0/40 | Esquema de API (OpenAPI/GraphQL/proto) |
| 0/20 | Servidor MCP |
| 40/40 | Ejemplos ejecutables — examples |
Datos de entrada utilizados
| example_dirs | examples |
| has_mcp_signal | no |
| api_schema_files | — |
Datos clave
1estrellas de GitHub
1contribuidores
29commits en los últimos 12 meses
6días desde el último push
4versiones publicadas
1factor bus
0issues abiertas
Goecosistemas de paquetes
Advertencias de recopilación de datos
- Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
- go package 'github.com/emphity1/reap' points at a different repository (https://github.com/emphity1/reap); excluded from ecosystem scoring
- GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository
Más detalle
OpenSSF Scorecard 3.2 / 10
3.2agregado
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).
| 10 | Binary-Artifacts | no binaries found in the repo |
| 0 | Branch-Protection | branch protection not enabled on development/release branches |
| n/d | CI-Tests | no pull request found |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 0 | Code-Review | Found 0/29 approved changesets -- score normalized to 0 |
| 0 | Contributors | project has 0 contributing companies or organizations -- score normalized to 0 |
| 10 | Dangerous-Workflow | no dangerous workflow patterns detected |
| 0 | Dependency-Update-Tool | no update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 10 | License | license file detected |
| 0 | Maintained | project was created within the last 90 days. Please review its contents carefully |
| 10 | Packaging | packaging workflow detected |
| 0 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 0 |
| 0 | SAST | no SAST tool detected |
| 0 | Security-Policy | security policy file not detected |
| 0 | Signed-Releases | Project has not signed or included provenance with any releases. |
| 0 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 10 | Vulnerabilities | 0 existing vulnerabilities detected |
Dependencias directas 1
| Registro | Paquete | Restricción de versión | Manifiesto |
|---|---|---|---|
| Go | gopkg.in/yaml.v3 | v3.0.1 | go.mod |
Todas las dependencias no recopilado
No fue posible recopilar el conjunto de dependencias resuelto para este informe: GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository
Informe JSON sin procesar legible por máquina
{
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"helm",
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"owner_type": "Organization",
"updated_at": "2026-07-24T14:59:08Z",
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"followers": 0,
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"license": {
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"spdx_id": "Apache-2.0",
"raw_spdx": "Apache-2.0",
"file_present": true,
"scorecard_found": true,
"profile_has_license": true
},
"activity": {
"releases": [
{
"tag": "v0.2.2",
"kind": "patch",
"published_at": "2026-07-19T22:21:36Z"
},
{
"tag": "v0.2.1",
"kind": "patch",
"published_at": "2026-07-19T16:46:07Z"
},
{
"tag": "v0.2.0",
"kind": "minor",
"published_at": "2026-07-19T11:56:13Z"
},
{
"tag": "v0.1.0",
"kind": "minor",
"published_at": "2026-07-18T22:05:48Z"
}
],
"recent_commits": [
{
"oid": "01b8c2a3c3e788cd6e4bda70d7ce8fe733a081e4",
"body": "The action path was the one install route never exercised in its real\nenvironment: local verification could only simulate its steps (go\ninstall + run with -fail-on). Run the checked-out action on every push,\nonce with the gate off (must pass) and once gating on the example\nmanifest's error finding (must fail, asserted via step outcome), so\naction.yml wiring breaks loudly instead of on an adopter's runner.",
"is_bot": false,
"headline": "Self-test the composite action in CI",
"author_name": "Dmytro",
"author_login": null,
"committed_at": "2026-07-20T11:16:16Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "4c8bab48eae7c6864b7e1fe34a6e5e68198037e6",
"body": "The pre-launch coherence sweep against v0.2.2 found the README's example\noutput corresponded to no input in the repo: the fixture with the same\nobject produces two findings, not the one the example shows. Commit the\nintended two-object input as docs/examples/app.yaml (Deployment missing\nthe GPU limi\n[…]\n fingerprint included. The JSON\nsample is now the verbatim -format json output of the same run: pretty\nprinted, bySeverity keys in the marshaler's alphabetical order, and the\nfull untruncated message.",
"is_bot": false,
"headline": "Make the README example reproducible from a committed manifest",
"author_name": "Dmytro",
"author_login": null,
"committed_at": "2026-07-20T11:16:16Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "7ee3a4279c26ebcd5b0ac6b39d7f26cecd222a0b",
"body": "Pre-launch verification read the KubeRay operator source and found it\ninjects a memory-backed /dev/shm into every pod it builds from a\nRayCluster/RayJob/RayService, so the manifest-level absence reap\nflagged was a system-level false positive on every GPU Ray manifest.\nGuard the rule on the ray.io gr\n[…]\n-no-node-targeting, which the operator\ndoes not configure. Post-exclusion corpus numbers (24 findings, 0\nconfirmed FPs) are recorded in the dogfood report.\n\nSigned-off-by: Dmytro <dmytro.kozak@smc.it>",
"is_bot": false,
"headline": "Exclude Ray CRDs from shm-too-small: the operator injects the mount",
"author_name": "Dmytro",
"author_login": null,
"committed_at": "2026-07-19T22:19:43Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "899f4c4d6e360b45b1efc1d4301bbae09a74ecd8",
"body": "…action\n\nReproduce the dogfood harness from a wiped cache: every pinned source\nstill fetches and the 27-input corpus returns identical totals; the\nreport now notes that today's severity split (8 warning / 18 info) and\nclean-chart count (10 of 12) supersede the pre-fix headline figures.\nReading the K\n[…]\nk case. Queue the rule change (exclude Ray kinds from\nshm-too-small) before any launch. Align the README action example and\nJSON sample with v0.2.1 output.\n\nSigned-off-by: Dmytro <dmytro.kozak@smc.it>",
"is_bot": false,
"headline": "Record pre-launch verification: clean-state reproduction and Ray retr…",
"author_name": "Dmytro",
"author_login": null,
"committed_at": "2026-07-19T22:13:40Z",
"body_truncated": true,
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{
"oid": "2e235fed7c73a188dbcc9ef11f6dc00508a9562b",
"body": "Users could only get the image by cloning the repo and running make\ndocker. Add a dockers_v2 GoReleaser pipeline (the classic dockers\nsyntax is deprecated) with a dedicated Dockerfile that copies the\nprebuilt per-platform binary into distroless, publishing\nghcr.io/emphity1/reap as one amd64+arm64 ma\n[…]\n login via GITHUB_TOKEN. Verified locally with a\nsnapshot build: both arch images run against the fixtures with the\ndocumented mount and stdin invocations.\n\nSigned-off-by: Dmytro <dmytro.kozak@smc.it>",
"is_bot": false,
"headline": "Publish multi-arch Docker images to GHCR on release",
"author_name": "Dmytro",
"author_login": null,
"committed_at": "2026-07-19T16:44:36Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "b3af0e4cf7c7aeb42008a2a3b6f20d39ee0016dd",
"body": "The README described the output but never showed it. Record a VHS tape\nof reap linting a small GPU manifest crafted to produce one finding per\nseverity, each with its fix and the colored summary line. The tape and\nthe demo manifest are committed alongside the GIF, so the recording is\nreproducible with `vhs demo.tape` rather than being a one-off screen\ncapture.\n\nSigned-off-by: Dmytro <dmytro.kozak@smc.it>",
"is_bot": false,
"headline": "Add a demo GIF to the README",
"author_name": "Dmytro",
"author_login": null,
"committed_at": "2026-07-19T15:56:18Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "1985c74ce99f9c5c25aa910b3489aa73da0dd470",
"body": "Verify the parser fix by its denominator: pod specs 54->59, containers\n59->64, GPU containers 14->15, with exactly the four array-nested\ninputs changing and no map-nested input moving. Record the v0.2.0\nrelease verification (checksummed binary and go install both run) and\nrevise the vllm-stack shm-t\n[…]\nllelSize knob is\nset — found while preparing an upstream patch that was then correctly\nnot opened. The correction stays visible instead of silently edited.\n\nSigned-off-by: Dmytro <dmytro.kozak@smc.it>",
"is_bot": false,
"headline": "Add verification addendum and revise one shm verdict",
"author_name": "Dmytro",
"author_login": null,
"committed_at": "2026-07-19T12:58:35Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "37ef9678a04cacdf377ebb3c28e2af92560d4d47",
"body": "The example output block showed a real fixture path with a finding\ncount the fixture no longer produces; move it to the same illustrative\nmanifest the JSON example already uses. Update the rules table to the\nsettled decisions (batch/v1 scope for job-no-deadline, KServe serving\nruntimes in the probes\n[…]\n what the parser can see — including\narray-nested CRD templates — and point to the committed dogfood harness\nas evidence. Pin the action example to v0.2.0.\n\nSigned-off-by: Dmytro <dmytro.kozak@smc.it>",
"is_bot": false,
"headline": "Align README with current behavior ahead of v0.2.0",
"author_name": "Dmytro",
"author_login": null,
"committed_at": "2026-07-19T11:49:17Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "6dbe34dc4eb816c45a6a63a57c940bd9911b0404",
"body": "Resolve the dogfood CRD-visibility item as positioning, not code:\npod-level findings on KServe InferenceService or Kubeflow Trainer v2\nTrainJob would be unfixable or wrong, because the operator injects\nprobes, autoscales natively, or holds the pod template in a referenced\nruntime. The README now exp\n[…]\necked\"\nwith the stdin workaround, updates the shm-too-small row to match the\nrule's new wording, and the dogfood report records all follow-ups as\nresolved.\n\nSigned-off-by: Dmytro <dmytro.kozak@smc.it>",
"is_bot": false,
"headline": "Document the operator-managed CRD boundary",
"author_name": "Dmytro",
"author_login": null,
"committed_at": "2026-07-19T11:44:26Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "495017c9a5c2ab5e1ed35ab7d719331fccb97559",
"body": "On a noisy input the one warning printed after three info findings, so\na first-time reader met the tail before the headline. Sort severity\n(highest first) between object and rule ID in the engine, shared by\ntext and JSON output. Also fix the write-baseline message to pluralize\n\"entry\" properly instead of printing \"entr(y/ies)\".\n\nSigned-off-by: Dmytro <dmytro.kozak@smc.it>",
"is_bot": false,
"headline": "Order findings by severity within an object",
"author_name": "Dmytro",
"author_login": null,
"committed_at": "2026-07-19T11:44:26Z",
"body_truncated": false,
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{
"oid": "5e4537404abed2d364cdb6198f0ae471266305a9",
"body": "The dogfood run showed the rule firing on runtimes where the message's\nPyTorch DataLoader claim rings false (ollama, Triton). The rule stays\ndeliberately broad — the fix is cheap and harmless, and a narrower\ndetector would silently miss real cases — but the message now names the\nactual shared-memory\n[…]\ne hatch: runtimes that never touch shared\nmemory should baseline the finding. Rationale recorded in the rule's\ndoc comment; a test guards the escape hatch.\n\nSigned-off-by: Dmytro <dmytro.kozak@smc.it>",
"is_bot": false,
"headline": "Stop overclaiming PyTorch in the shm-too-small finding",
"author_name": "Dmytro",
"author_login": null,
"committed_at": "2026-07-19T11:44:26Z",
"body_truncated": true,
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},
{
"oid": "c082d6b6c23b2ec44cda1f851dc258279aa07e30",
"body": "Add pinned TrainJob v2 examples and the AKS GPU tutorial Job, plus\nderived GPU probes (upstream base and delta documented per file) that\nmake the gang-scheduling and notebook-culling oracles real: each\nsuppression case has a control that must fire, proving the test is not\nvacuous. All four pass. The re-run confirms both parser and detector\nfixes on the original corpus: zero confirmed false positives remain.\n\nSigned-off-by: Dmytro <dmytro.kozak@smc.it>",
"is_bot": false,
"headline": "Extend dogfood corpus with gap probes and record the post-fix re-run",
"author_name": "Dmytro",
"author_login": null,
"committed_at": "2026-07-19T11:31:11Z",
"body_truncated": false,
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},
{
"oid": "766d8bfbbfbec4809d1db4f70fbc3c01130993a8",
"body": "The bare \"kserve/\" pattern matched kserve/kserve-controller, so a\nstock kserve-resources render got inference-no-hpa and no-pdb findings\non its controller-manager. Replace it with KServe's six serving-runtime\nimages, verified against upstream config/runtimes/kustomization.yaml;\nthe remaining runtime\n[…]\nimages other patterns already cover.\nThe e2e harness gains an absence assertion so the regression fixture\nfails loudly if the detector ever broadens again.\n\nSigned-off-by: Dmytro <dmytro.kozak@smc.it>",
"is_bot": false,
"headline": "Stop detecting the KServe control plane as a model server",
"author_name": "Dmytro",
"author_login": null,
"committed_at": "2026-07-19T11:31:11Z",
"body_truncated": true,
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},
{
"oid": "e4839e33401ff63ab79e4f7d50467b91efdf48f9",
"body": "findPodSpecs only recursed into maps, so any pod template inside a\nlist — RayCluster workerGroupSpecs, Volcano Job tasks — was invisible,\nhiding the GPU-bearing half of every Ray manifest. Recurse into arrays,\nand gate the core-kind pod-spec paths on the API group so a same-named\nCRD kind (Volcano's\n[…]\nb-no-deadline to group \"batch\"\nin the same change: with arrays visible, GPU Volcano Jobs would\notherwise be flagged for a field their schema does not have.\n\nSigned-off-by: Dmytro <dmytro.kozak@smc.it>",
"is_bot": false,
"headline": "Make pod templates nested in arrays visible to the parser",
"author_name": "Dmytro",
"author_login": null,
"committed_at": "2026-07-19T11:31:11Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "8b95af3e498703607e0dc40c9c2fe9899e8772df",
"body": "Lint reap against 12 pinned vendor charts (default + GPU-enabled\nrenders) and 12 upstream example manifests. Median findings per chart\nis zero and severity discipline holds, but the run found two\nrelease-blocking bugs: the parser never recurses into arrays, hiding\nRay workerGroupSpecs and Volcano ta\n[…]\nrve controller as a model server. Findings,\noracle results, and prioritized fixes are in hack/dogfood/report.md;\nthe rendered corpus stays out of the repo.\n\nSigned-off-by: Dmytro <dmytro.kozak@smc.it>",
"is_bot": false,
"headline": "Add dogfood corpus, scripts, and first real-world run report",
"author_name": "Dmytro",
"author_login": null,
"committed_at": "2026-07-19T00:57:31Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "67070a862563033354d7e9b9c22cb7200104f3a9",
"body": "Add CI/release/license badges, a who-is-it-for section, and a mermaid\ndiagram showing where reap sits in the workflow. Reorder install paths\neasiest-first now that v0.1.0 ships prebuilt binaries, pin the action\nexample to the release tag, and replace the stale planned-rules\nparagraph: all ten rules are implemented, so it now documents the\nseverity discipline and what reap deliberately does not check.\n\nSigned-off-by: Dmytro <dmytro.kozak@smc.it>",
"is_bot": false,
"headline": "Rework README for first-time readers",
"author_name": "Dmytro",
"author_login": null,
"committed_at": "2026-07-18T22:15:51Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "8491f0896040b0f4fd4837b6be96e7f2f16cdf28",
"body": "Group findings by file, then object, with the severity tag on its own\nline and a blank line between findings; wrap messages at 100 columns\nwith a hanging indent instead of letting the terminal break lines\nmid-word. Severity-colored output via -color (auto/always/never):\nauto colors only on a TTY and\n[…]\nOR, so piped and CI\noutput stays plain. Summary line uses real plurals. JSON output is\nunchanged; stable tokens ([error], fix:, rule IDs) remain greppable.\n\nSigned-off-by: Dmytro <dmytro.kozak@smc.it>",
"is_bot": false,
"headline": "Restructure text output: grouping, wrapping, ANSI color",
"author_name": "Dmytro",
"author_login": null,
"committed_at": "2026-07-18T21:56:10Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "7a1d81ccc65041f38394ad81f821e2a1752034ff",
"body": "The repo doubles as a composite GitHub Action (path, fail-on, baseline,\nversion inputs; installs via go install). A copyable GitLab CI job\nlives in docs/ci/. GoReleaser builds linux/darwin/windows binaries for\namd64/arm64 on v* tags; config validated with goreleaser check and a\nsnapshot build. Publishing the Docker image to a registry is a\ndeliberate follow-up, since it needs registry credentials.\n\nSigned-off-by: Dmytro <dmytro.kozak@smc.it>",
"is_bot": false,
"headline": "Add CI packaging: GitHub Action, GitLab template, GoReleaser",
"author_name": "Dmytro",
"author_login": null,
"committed_at": "2026-07-18T21:47:29Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "f8124664d802eed8ab8c75d8f9f3dcdcf159ba7a",
"body": "Multi-stage build producing a ~5 MB static image on distroless: no\nshell, no package manager, matching the tool's offline-only design.\nLints mounted directories or stdin. README documents the Docker usage\nand the two-command baseline adoption flow.\n\nSigned-off-by: Dmytro <dmytro.kozak@smc.it>",
"is_bot": false,
"headline": "Add distroless Docker image and document adoption flows",
"author_name": "Dmytro",
"author_login": null,
"committed_at": "2026-07-18T21:44:39Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "e3aa5ccd0ac2c66a3e85be5b2b28cdc8ae9c0576",
"body": "A baseline is a set of finding fingerprints: -write-baseline accepts\ntoday's findings (deduped, sorted for stable diffs, with per-entry\ncontext and an optional reason field), -baseline suppresses them on\nlater runs so CI gates only on new problems. Suppression happens before\nreporting and exit-code \n[…]\nnd stale entries — fingerprints that matched nothing and can\nbe pruned. The two flags are mutually exclusive: refreshing a baseline\nmeans writing it again.\n\nSigned-off-by: Dmytro <dmytro.kozak@smc.it>",
"is_bot": false,
"headline": "Add baseline mechanism for adopting reap on existing repos",
"author_name": "Dmytro",
"author_login": null,
"committed_at": "2026-07-18T21:44:39Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "b44febf9a1bd4784cf63c048dd44655cd8d7ca26",
"body": "Add the four remaining rules. multinode-no-topology-affinity flags\nmulti-replica GPU training with no placement intent, before NCCL\ncollectives fall back to the slow network path. notebook-no-idle-culling\nflags GPU notebooks with no visible culling config — heuristic by\ndesign, since platform-side c\n[…]\nas one input set in the e2e test,\nso their fixtures use a unique namespace per file to avoid cross-file\nsuppression — recorded as a fixture-authoring rule.\n\nSigned-off-by: Dmytro <dmytro.kozak@smc.it>",
"is_bot": false,
"headline": "Complete the rule set: topology, notebooks, and set-level rules",
"author_name": "Dmytro",
"author_login": null,
"committed_at": "2026-07-18T21:37:51Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "7b48694a5e06a76ec58959b3e6fdb9dea6b20437",
"body": "GPU node pools are commonly tainted; a GPU pod with no nodeSelector,\nnode affinity, or tolerations sits Pending indefinitely on such\nclusters, and the autoscaler will not scale a tainted pool up for a\npod that does not tolerate it.\n\nFirst info-severity rule: suppression errs on acceptance (any of th\n[…]\nobject to keep fingerprints unique across multi-template CRDs. GPU\nfixtures of other rules gain the canonical nvidia.com/gpu toleration\nto stay orthogonal.\n\nSigned-off-by: Dmytro <dmytro.kozak@smc.it>",
"is_bot": false,
"headline": "Add gpu-no-node-targeting rule",
"author_name": "Dmytro",
"author_login": null,
"committed_at": "2026-07-18T13:33:19Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "9270f0e07af6cff41fca8ba56b6592726feeba29",
"body": "Kubernetes caps /dev/shm at 64 MB by default; PyTorch DataLoader\nworkers and NCCL/tensor-parallel inference exchange tensors through\nshared memory and crash with cryptic bus errors when it fills — one of\nthe most common and least obvious ML-on-Kubernetes failures. Flag GPU\ncontainers that don't moun\n[…]\n(volumes now; node\ntargeting and affinity for upcoming rules). Existing GPU fixtures gain\nthe shm mount so each fixture keeps triggering only its own rule.\n\nSigned-off-by: Dmytro <dmytro.kozak@smc.it>",
"is_bot": false,
"headline": "Add shm-too-small rule",
"author_name": "Dmytro",
"author_login": null,
"committed_at": "2026-07-18T13:26:34Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "e839972337a06e1a7aff4cc25362af5f4e881bae",
"body": "Flag multi-replica GPU Kubeflow jobs (PyTorchJob, TFJob, MPIJob,\nXGBoostJob, PaddleJob) with no gang-scheduling evidence in the\nmanifest: without it, replicas that start first hold their GPUs\nwaiting for peers that may never be scheduled.\n\nEvidence lists err on acceptance and only ever suppress a fi\n[…]\nifest. Ray kinds are deliberately out: KubeRay >= 1.3\nconfigures the batch scheduler at the operator level, so a static\ncheck would systematically misfire.\n\nSigned-off-by: Dmytro <dmytro.kozak@smc.it>",
"is_bot": false,
"headline": "Add distributed-training-no-gang-scheduling rule",
"author_name": "Dmytro",
"author_login": null,
"committed_at": "2026-07-18T13:20:01Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "c7899103516534a2ccccf3ec3b72ef435fd154c9",
"body": "Detect well-known inference servers (vLLM, Triton, TGI, TorchServe,\nSGLang, Ollama, KServe, NIM, LMDeploy) by curated image substrings and\nflag containers with no readinessProbe: Kubernetes routes traffic the\nmoment the container starts, minutes before an LLM finishes loading\nweights. The fix recomm\n[…]\nin a shared helper for the\nupcoming inference-no-hpa and no-pdb rules. Per-rule fixtures now use\nneutral images so each fixture triggers only its own rule.\n\nSigned-off-by: Dmytro <dmytro.kozak@smc.it>",
"is_bot": false,
"headline": "Add model-server-no-probes rule",
"author_name": "Dmytro",
"author_login": null,
"committed_at": "2026-07-18T13:09:21Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "d1c38430136f90bf140d5d957e01673d4d47ab3c",
"body": "Findings carry a deterministic identity: a versioned hash of rule ID,\nobject reference, and a semantic detail key (container and resource\nnames, never positional indices). Message wording, severity, fix, and\nfile path are metadata and stay out of the hash, so the same chart\nfingerprints identically \n[…]\non 1 with a per-severity\nsummary. Empty namespaces stay empty in identities: the same Helm chart\nmust fingerprint the same regardless of install namespace.\n\nSigned-off-by: Dmytro <dmytro.kozak@smc.it>",
"is_bot": false,
"headline": "Add JSON output with stable finding fingerprints",
"author_name": "Dmytro",
"author_login": null,
"committed_at": "2026-07-18T13:01:09Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "5c1e8c12d82327adadd82a1486743ee625ff0d6e",
"body": "Signed-off-by: Dmytro <dmytro.kozak@smc.it>",
"is_bot": false,
"headline": "Remove CLAUDE.md from version control",
"author_name": "Dmytro",
"author_login": null,
"committed_at": "2026-07-18T13:00:49Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "b582bb48ce6a99c0298f84ec00a6c326f30270cd",
"body": "Establish the vertical slice for the open-source linter: a\nmulti-document YAML parser (files, directories, stdin for piped\nhelm/kustomize output), a Rule interface, an engine, a text\nreporter, and CI-friendly exit codes (0 clean, 1 findings at or\nabove -fail-on, 2 input error).\n\nShip two rules, each\n[…]\netes\nstructs: half the target kinds are CRDs (PyTorchJob, MPIJob) that\nthe typed APIs do not cover, and this keeps gopkg.in/yaml.v3 as\nthe only dependency.\n\nSigned-off-by: Dmytro <dmytro.kozak@smc.it>",
"is_bot": false,
"headline": "Bootstrap reap CLI with first two GPU lint rules",
"author_name": "Dmytro",
"author_login": null,
"committed_at": "2026-07-18T12:25:08Z",
"body_truncated": true,
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},
{
"oid": "45723a8a5e8b2030ddfc202ec1acaf3f10f91808",
"body": null,
"is_bot": false,
"headline": "Initial commit",
"author_name": "Dimitri",
"author_login": "emphity1",
"committed_at": "2026-07-17T23:03:59Z",
"body_truncated": false,
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}
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},
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},
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}
]
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}
],
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}
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{
"name": "Binary-Artifacts",
"score": 10,
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"reason": "no dangerous workflow patterns detected",
"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#dangerous-workflow"
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"reason": "license file detected",
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},
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"reason": "packaging workflow detected",
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},
{
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"reason": "dependency not pinned by hash detected -- score normalized to 0",
"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#pinned-dependencies"
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},
{
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},
{
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],
"description": "How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score."
}
],
"metrics_version": "1.13.0"
},
"warnings": [
"Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token",
"go package 'github.com/emphity1/reap' points at a different repository (https://github.com/emphity1/reap); excluded from ecosystem scoring",
"GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository"
],
"report_type": "repository",
"generated_at": "2026-07-26T17:28:22.830036Z",
"schema_version": "0.27.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/r/reap-labs/reap.svg",
"full_name": "reap-labs/reap",
"license_state": "standard",
"license_spdx": "Apache-2.0"
}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 v1.13.0, esquema v0.27.0 — metodología completa · wiki de métricas.
Cómo se sitúa un resultado dentro del registro general: estadísticas agregadas — Go.