Öffentliches RegisterGut
Software-GesundheitsberichtSchema 0.27.0 · Metriken 1.13.0 · 2026-07-25 06:59 UTC
MagnivOrg / prompt-layer-library
🍰 PromptLayer - Maintain a log of your prompts and OpenAI API requests. Track, debug, and replay old completions.
MagnivOrg/prompt-layer-library erreicht einen Gesundheitsindex von 79 von 100 und liegt damit im Bereich Gut. Am stärksten schneidet es bei Engineering Quality (90/100) ab, am schwächsten bei AI Readiness (56/100). Zuletzt vor 2 Tagen aktualisiert. 2 Mitwirkende tragen den Großteil der jüngsten Arbeit.
79
gesamt / 100Software-Gesundheitsindex
Metriken werden auf einer Skala von 1–100 in gewichtete Kategorien gruppiert. Der Gesamtwert beginnt als ihr Mittel; sobald öffentliche Evidenz die Richtlinie für Hochrisikojurisdiktionen auslöst, wird die Bewertung angepasst und erhält die Obergrenze 49 (Gefährdet). AI Readiness liegt außerhalb.
79
Exzellent85-100Vorbildlich; erfüllt im Wesentlichen alle geprüften Kriterien
Gut70-84Gesund; geringfügige Lücken
Mittel50-69Akzeptabel mit deutlichen Lücken; Überprüfung empfohlen
Gefährdet30-49Erhebliche Schwächen; eine Übernahme erfordert Vorsicht
Kritisch1-29Schwerwiegende Probleme (aufgegeben, nur ein Maintainer, keine Hygiene)
Bewertungsprofil
Jede Achse ist eine Kategorie. Die Form zählt mehr als der Durchschnitt — ein gesundes Projekt füllt die gesamte Fläche, während ein Profil aus Spitzen und Kratern bedeutet, dass Stärke in einer Dimension Risiken in einer anderen verdeckt.
Eigentümerschaft
PromptLayerOrganisation
79 Follower25 öffentliche Reposseit Dez. 2021
Dieses Repository wird von einer Organisation getragen — geteilte, rechenschaftspflichtige Trägerschaft, die jeden einzelnen Maintainer überdauern kann.
Paket-Ökosysteme
| Registry | Paket | Version | Downloads / Monat | Versionen | Zuletzt veröffentlicht |
|---|---|---|---|---|---|
| PyPI | promptlayer | 1.5.1 | 482.214 | 190 | vor 2 Tagen |
Metriken nach Kategorie
Vitalität
Lebt das Projekt — wird Code geschrieben und werden Releases ausgeliefert?
87
Entwicklungsaktivität
86Exzellent
Wie die Bewertung erfolgt
| 36/36 | Push-Aktualität — letzter Push vor 2 Tagen |
| 22.2/36 | Commit-Rhythmus — 32/52 Wochen mit Commits |
| 18/18 | Commit-Volumen — 103 Commits im letzten Jahr |
| 10/10 | OpenSSF Scorecard: Maintained — 28 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10 |
Verwendete Eingangsdaten
| commits_last_year | 103 |
| human_commit_share | 0,94 |
| days_since_last_push | 2 |
| active_weeks_last_year | 32 |
Release-Disziplin
88Exzellent
Wie die Bewertung erfolgt
| 16.2/27 | Liefert Releases aus — 24 Versions-Tags (keine GitHub-Releases) |
| 36/36 | Release-Aktualität — letztes Release vor 2 Tagen |
| 27/27 | Release-Rhythmus — ein Release etwa alle 11,7 Tage |
| 0/10 | OpenSSF Scorecard: Signed-Releases — keine Daten |
Verwendete Eingangsdaten
| releases_count | 24 |
| latest_release_tag | v1.5.1 |
| releases_from_tags | ja |
| days_since_latest_release | 2 |
| mean_days_between_releases | 11,7 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): OpenSSF Scorecard: Signed-Releases. Die verbleibenden Gewichte wurden renormalisiert.
Community & Verbreitung
Hat das Projekt Nutzer, Downloads, Aufmerksamkeit und ein einladendes Umfeld für Beitragende?
68
Popularität & Verbreitung
67Mittel
Wie die Bewertung erfolgt
| 46.9/60 | Stars — 780 Stars |
| 16.3/25 | Forks — 92 Forks |
| 3.9/15 | Watcher — 6 Watcher |
Verwendete Eingangsdaten
| forks | 92 |
| stars | 780 |
| watchers | 6 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Community-Gesundheit
50Mittel
Wie die Bewertung erfolgt
| 22.5/22.5 | README |
| 22.5/22.5 | Lizenz — anerkannte Lizenz (Apache-2.0) |
| 0/18 | CONTRIBUTING-Leitfaden |
| 0/13.5 | Verhaltenskodex |
| 0/7.2 | Issue-Vorlage |
| 0/6.3 | PR-Vorlage |
Verwendete Eingangsdaten
| has_readme | ja |
| has_license | ja |
| has_contributing | nein |
| has_issue_template | nein |
| has_code_of_conduct | nein |
| has_pull_request_template | nein |
Ökosystem-Verbreitung (Downloads)
95Exzellent
Wie die Bewertung erfolgt
| 75.8/80 | Downloads pro Monat — 482.214 Downloads/Monat über pypi |
| 0/20 | Abhängige in der Registry — von diesem Ökosystem nicht ausgewiesen |
Verwendete Eingangsdaten
| packages | promptlayer |
| dependents | — |
| ecosystems | pypi |
| total_downloads | — |
| monthly_downloads | 482.214 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Abhängige in der Registry. Die verbleibenden Gewichte wurden renormalisiert.
Nachhaltigkeit & Governance
Überdauert das Projekt die Menschen, die es tragen — Bus-Faktor, Reaktionsfähigkeit, Trägerschaft und Paketpflege?
76
Wie die Bewertung erfolgt
| 25.2/54 | Bus-Faktor — 2 Beitragende decken die Hälfte aller Commits ab |
| 12.7/22.5 | Commit-Verteilung — wichtigste beitragende Person verfasste 44 % der Commits |
| 13.5/13.5 | Breite der Beitragenden — 25 Beitragende |
| 10/10 | OpenSSF Scorecard: Contributors — project has 4 contributing companies or organizations |
Verwendete Eingangsdaten
| bus_factor | 2 |
| contributors_sampled | 25 |
| top_contributor_share | 0,437 |
Reaktionsfähigkeit bei Issues & PRs
86Exzellent
Wie die Bewertung erfolgt
| 39.5/46.8 | Issue-Lösungsquote — 84 % der Issues geschlossen |
| 31.3/38.3 | PR-Annahme — 184/225 entschiedene PRs gemergt |
| 15/15 | OpenSSF Scorecard: Code-Review — all changesets reviewed |
Verwendete Eingangsdaten
| merged_prs | 184 |
| open_issues | 15 |
| closed_issues | 81 |
| issue_closed_ratio | 0,844 |
| closed_unmerged_prs | 41 |
Eigentümerschaft & Trägerschaft
63Mittel
Wie die Bewertung erfolgt
| 30/30 | Organisatorische Trägerschaft — im Besitz einer Organisation |
| 0/20 | Verifizierte Domain |
| 13.7/25 | Reichweite des Inhabers — 79 Follower von MagnivOrg |
| 19.5/25 | Kontohistorie — 25 öffentliche Repos, Kontoalter ca. 4 Jahre |
Verwendete Eingangsdaten
| followers | 79 |
| owner_type | Organization |
| is_verified | — |
| owner_login | MagnivOrg |
| public_repos | 25 |
| account_age_days | 1.676 |
Paketpflege
100Exzellent
Wie die Bewertung erfolgt
| 25/25 | Veröffentlicht & auflösbar — 1 Paket(e) auf pypi |
| 35/35 | Veröffentlichungsaktualität — letzte Veröffentlichung vor 2 Tagen |
| 20/20 | Versionshistorie — 190 veröffentlichte Versionen |
| 20/20 | Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen |
Verwendete Eingangsdaten
| packages | promptlayer |
| ecosystems | pypi |
| any_deprecated | nein |
| min_days_since_publish | 2 |
Engineering-Qualität
Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?
90
Engineering-Praktiken
100Exzellent
Wie die Bewertung erfolgt
| 24/24 | CI-Workflows — 3 Workflow(s) |
| 24/24 | Tests vorhanden |
| 16/16 | Linter-Konfiguration |
| 9.6/9.6 | Pre-Commit-Hooks |
| 6.4/6.4 | .editorconfig |
| 20/20 | OpenSSF Scorecard: CI-Tests — 10 out of 10 merged PRs checked by a CI test -- score normalized to 10 |
Verwendete Eingangsdaten
| has_ci | ja |
| has_tests | ja |
| has_editorconfig | ja |
| has_linter_config | ja |
| has_precommit_config | ja |
Dokumentation
75Gut
Wie die Bewertung erfolgt
| 30/30 | README |
| 0/25 | Dokumentationsverzeichnis |
| 15/15 | Dokumentations-/Homepage-Site — https://www.promptlayer.com |
| 10/10 | Repository-Beschreibung |
| 10/10 | Topics — 6 Topics |
| 10/10 | Wiki |
Verwendete Eingangsdaten
| topics | gpt, machine-learning, openai, prompt, prompt-engineering, python |
| has_wiki | ja |
| homepage | https://www.promptlayer.com |
| has_readme | ja |
| has_docs_dir | nein |
| has_description | ja |
Sicherheit
Sind die sichtbaren Sicherheits- und Lieferkettenpraktiken belastbar, ohne ungeklärte Exposition gegenüber Hochrisikojurisdiktionen?
69
Sicherheitslage
61Mittel
Wie die Bewertung erfolgt
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 3.8/7.5 | Branch-Protection — branch protection is not maximal on development and all release branches |
| 2.5/2.5 | CI-Tests — 10 out of 10 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 |
| 7.5/7.5 | Code-Review — all changesets reviewed |
| 2.5/2.5 | Contributors — project has 4 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 | Lizenz — license file detected |
| 7.5/7.5 | Maintained — 28 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10 |
| 0/5 | Packaging — keine Daten |
| 0/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
| 5/5 | SAST — SAST tool is run on all commits |
| 0/5 | Security-Policy — security policy file not detected |
| 0/7.5 | Signed-Releases — keine Daten |
| 0/7.5 | Token-Permissions — detected GitHub workflow tokens with excessive permissions |
| 0/7.5 | Vulnerabilities — 77 existing vulnerabilities detected |
Verwendete Eingangsdaten
| source | openssf_scorecard |
| checks_evaluated | 16 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 2 |
| scorecard_aggregate | 6,1 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): packaging, signed_releases. Die verbleibenden Gewichte wurden renormalisiert.
Abhängigkeits-Advisories
100Exzellent
Wie die Bewertung erfolgt
| 35/35 | Direkte Abhängigkeiten ohne bekannte Advisories — keine direkte Abhängigkeit trägt ein bekanntes Advisory |
| 25/25 | Indirekte Abhängigkeiten ohne bekannte Advisories — keine indirekte Abhängigkeit trägt ein bekanntes Advisory |
| 0/40 | Keine offenen Advisories — kein Advisory trägt ein Veröffentlichungsdatum |
Verwendete Eingangsdaten
| source | osv |
| advisories | 0 |
| affected_packages | 0 |
| assessed_packages | 37 |
| unassessed_packages | 0 |
| affected_by_severity | none |
| direct_affected_packages | 0 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Keine offenen Advisories. Die verbleibenden Gewichte wurden renormalisiert. Abgeglichen wurde die Laufzeit-Abhängigkeitshülle von pypi:promptlayer@1.5.1 — das, was die Installation des veröffentlichten Pakets nach sich zieht — mit 37 Paketen. Erreichbarkeit wird nicht analysiert.
AI Readiness
Wie gut ist das Repository dafür ausgestattet, mit KI-Coding-Agenten entwickelt und gepflegt zu werden? Ein unabhängiges, experimentelles Badge — Gewicht 0,0, es wird eigenständig ausgewiesen und verändert den Gesamt-Gesundheitswert nicht.
56
AI-Agentenkontext & Leitlinien
36Gefährdet
Wie die Bewertung erfolgt
| 0/45 | Agentenanweisungen — keine CLAUDE.md / AGENTS.md / Editor-Regeln |
| 0/15 | Maschinenlesbare Doku (llms.txt) |
| 36.3/40 | Lesbare Commit-Historie — 64 von 94 menschlichen Commits benennen ihre Absicht (strukturierter Betreff oder erläuternder Text) |
Verwendete Eingangsdaten
| has_llms_txt | nein |
| legible_history_share | 0,681 |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
Wie die Bewertung erfolgt
| 18/18 | Bootstrap mit einem Befehl — Makefile |
| 22/22 | Automatisierte Tests |
| 11/11 | Lint-/Format-Konfiguration |
| 0/11 | Statische Typprüfung |
| 10/10 | Reproduzierbare Umgebung — devcontainer, lockfile |
| 10/10 | Belegte Agentenpraxis — 12 der letzten 100 Commits von Agenten verfasst oder ihnen zugeschrieben |
| 0/8 | Automatisierte Wartung — keine automatisierten Abhängigkeits-Updates beobachtet |
| 0/10 | OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
Verwendete Eingangsdaten
| has_nix | nein |
| has_tests | ja |
| lockfiles | poetry.lock, uv.lock |
| has_dockerfile | nein |
| typed_language | nein |
| bootstrap_files | Makefile |
| has_devcontainer | ja |
| has_linter_config | ja |
| typecheck_configs | — |
| agent_commit_share | 0,12 |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
AI-Code-Lesbarkeit für Modelle
54Mittel
Wie die Bewertung erfolgt
| 0/45 | Typprüfbarer Code — Python ohne Typprüfungs-Konfiguration |
| 54/55 | Handhabbare Dateigrößen — 2/114 Quelldateien über 60 KB |
Verwendete Eingangsdaten
| primary_language | Python |
| largest_source_bytes | 98.660 |
| source_files_sampled | 114 |
| oversized_source_files | 2 |
Eckdaten
780GitHub-Sterne
25Mitwirkende
103Commits, letzte 12 Monate
2Tage seit letztem Push
24Releases
2Bus-Faktor
15offene Issues
PyPIPaket-Ökosysteme
Warnungen zur Datenerhebung
- Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
Weitere Details
Stern- und Fork-Verlauf 0 ★ / 92 ⇿
0Sterne
92Forks
21Releases
Wann jeder Stern und Fork hinzugefügt wurde, von GitHub erfasst und nach Tagen gruppiert. Das kumulierte Wachstum steht direkt über den täglichen Zugängen, aus denen es besteht, sodass beide gegeneinander lesbar sind: stetiger organischer Zuwachs sieht ganz anders aus als ein abrupter, kurzlebiger Ausschlag. Wo dieser Unterschied messbar ist, wird er als Wachstumsauthentizität ausgewiesen.
Major 0Minor 4Patch 17
Jeder Punkt umfasst 4 Tage.
OpenSSF Scorecard 6.1 / 10
6.1Gesamtwert
Unabhängige, werkzeugneutrale Sicherheitsbewertung durch das quelloffene OpenSSF Scorecard. Jede Prüfung honoriert eine Sicherheits-Praxis, nicht das Werkzeug eines bestimmten Anbieters. Prüfungen, die Scorecard nicht ermitteln konnte, sind mit k. A. markiert und vom Sicherheitswert ausgeschlossen (nie als null gezählt).
| 10 | Binary-Artifacts | no binaries found in the repo |
| 5 | Branch-Protection | branch protection is not maximal on development and all release branches |
| 10 | CI-Tests | 10 out of 10 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 |
| 10 | Code-Review | all changesets reviewed |
| 10 | Contributors | project has 4 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 | 28 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10 |
| k. A. | Packaging | packaging workflow not detected |
| 0 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 0 |
| 10 | SAST | SAST tool is run on all commits |
| 0 | Security-Policy | security policy file not detected |
| k. A. | Signed-Releases | no releases found |
| 0 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 0 | Vulnerabilities | 77 existing vulnerabilities detected |
Direkte Abhängigkeiten 15
| Registry | Paket | Versionsvorgabe | Manifest |
|---|---|---|---|
| PyPI | requests | ^2.31.0 | pyproject.toml |
| PyPI | opentelemetry-api | ^1.26.0 | pyproject.toml |
| PyPI | opentelemetry-sdk | ^1.26.0 | pyproject.toml |
| PyPI | opentelemetry-exporter-otlp-proto-http | ^1.26.0 | pyproject.toml |
| PyPI | aiohttp | ^3.10.10 | pyproject.toml |
| PyPI | httpx | ^0.28.1 | pyproject.toml |
| PyPI | nest-asyncio | ^1.6.0 | pyproject.toml |
| PyPI | centrifuge-python | ^0.4.1 | pyproject.toml |
| PyPI | tenacity | ^9.1.2 | pyproject.toml |
| PyPI | cachetools | ^5.0.0 | pyproject.toml |
| PyPI | openai-agents | ^0.3.3 | pyproject.toml |
| PyPI | claude-agent-sdk | >=0.1.45,<1.0.0 | pyproject.toml |
| PyPI | eval-type-backport | ^0.3.1 | pyproject.toml |
| PyPI | jinja2 | ^3.1.6 | pyproject.toml |
| PyPI | rich | >=13.0.0 | pyproject.toml |
Alle Abhängigkeiten 108
Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 14 direkte und 94 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.
| Registry | Paket | Version | Beziehung |
|---|---|---|---|
| PyPI | aiohttp | 3.10.10 | direkt |
| PyPI | cachetools | 5.5.2 | direkt |
| PyPI | centrifuge-python | 0.4.1 | direkt |
| PyPI | claude-agent-sdk | 0.1.49 | direkt |
| PyPI | eval-type-backport | 0.3.1 | direkt |
| PyPI | httpx | 0.28.1 | direkt |
| PyPI | jinja2 | 3.1.6 | direkt |
| PyPI | nest-asyncio | 1.6.0 | direkt |
| PyPI | openai-agents | 0.3.3 | direkt |
| PyPI | opentelemetry-api | 1.26.0 | direkt |
| PyPI | opentelemetry-exporter-otlp-proto-http | 1.26.0 | direkt |
| PyPI | opentelemetry-sdk | 1.26.0 | direkt |
| PyPI | requests | 2.31.0 | direkt |
| PyPI | tenacity | 9.1.2 | direkt |
| PyPI | ably | 2.1.1 | indirekt |
| PyPI | aioboto3 | 13.4.0 | indirekt |
| PyPI | aiobotocore | 2.18.0 | indirekt |
| PyPI | aiofiles | 24.1.0 | indirekt |
| PyPI | aiohappyeyeballs | 2.4.3 | indirekt |
| PyPI | aioitertools | 0.12.0 | indirekt |
| PyPI | aiosignal | 1.3.1 | indirekt |
| PyPI | annotated-types | 0.7.0 | indirekt |
| PyPI | anthropic | 0.84.0 | indirekt |
| PyPI | anyio | 4.8.0 | indirekt |
| PyPI | async-timeout | 4.0.3 | indirekt |
| PyPI | attrs | 23.2.0 | indirekt |
| PyPI | boto3 | 1.36.1 | indirekt |
| PyPI | botocore | 1.36.1 | indirekt |
| PyPI | certifi | 2024.2.2 | indirekt |
| PyPI | cffi | 2.0.0 | indirekt |
| PyPI | charset-normalizer | 3.3.2 | indirekt |
| PyPI | click | 8.3.1 | indirekt |
| PyPI | colorama | 0.4.6 | indirekt |
| PyPI | cryptography | 46.0.5 | indirekt |
| PyPI | deprecated | 1.2.14 | indirekt |
| PyPI | distro | 1.9.0 | indirekt |
| PyPI | docstring-parser | 0.17.0 | indirekt |
| PyPI | exceptiongroup | 1.2.1 | indirekt |
| PyPI | frozenlist | 1.4.1 | indirekt |
| PyPI | google-auth | 2.38.0 | indirekt |
| PyPI | google-genai | 1.46.0 | indirekt |
| PyPI | googleapis-common-protos | 1.73.0 | indirekt |
| PyPI | griffe | 1.14.0 | indirekt |
| PyPI | h11 | 0.14.0 | indirekt |
| PyPI | h2 | 4.1.0 | indirekt |
| PyPI | hpack | 4.0.0 | indirekt |
| PyPI | httpcore | 1.0.5 | indirekt |
| PyPI | httpx-sse | 0.4.3 | indirekt |
| PyPI | hyperframe | 6.0.1 | indirekt |
| PyPI | idna | 3.7 | indirekt |
| PyPI | importlib-metadata | 8.0.0 | indirekt |
| PyPI | iniconfig | 2.0.0 | indirekt |
| PyPI | jiter | 0.8.2 | indirekt |
| PyPI | jmespath | 1.0.1 | indirekt |
| PyPI | jsonschema | 4.26.0 | indirekt |
| PyPI | jsonschema-specifications | 2025.9.1 | indirekt |
| PyPI | markupsafe | 3.0.3 | indirekt |
| PyPI | mcp | 1.26.0 | indirekt |
| PyPI | methoddispatch | 3.0.2 | indirekt |
| PyPI | msgpack | 1.1.0 | indirekt |
| PyPI | multidict | 6.0.5 | indirekt |
| PyPI | openai | 1.109.1 | indirekt |
| PyPI | opentelemetry-exporter-otlp-proto-common | 1.26.0 | indirekt |
| PyPI | opentelemetry-processor-baggage | 0.61b0 | indirekt |
| PyPI | opentelemetry-proto | 1.26.0 | indirekt |
| PyPI | opentelemetry-semantic-conventions | 0.47b0 | indirekt |
| PyPI | packaging | 24.0 | indirekt |
| PyPI | pluggy | 1.5.0 | indirekt |
| PyPI | propcache | 0.2.0 | indirekt |
| PyPI | protobuf | 4.25.8 | indirekt |
| PyPI | pyasn1 | 0.6.1 | indirekt |
| PyPI | pyasn1-modules | 0.4.1 | indirekt |
| PyPI | pycparser | 3.0 | indirekt |
| PyPI | pydantic | 2.11.7 | indirekt |
| PyPI | pydantic-core | 2.33.2 | indirekt |
| PyPI | pydantic-settings | 2.10.1 | indirekt |
| PyPI | pyee | 11.1.1 | indirekt |
| PyPI | pyjwt | 2.12.1 | indirekt |
| PyPI | pytest | 8.2.0 | indirekt |
| PyPI | pytest-asyncio | 0.23.6 | indirekt |
| PyPI | pytest-network | 0.0.1 | indirekt |
| PyPI | pytest-parametrize-cases | 0.1.2 | indirekt |
| PyPI | python-dateutil | 2.9.0.post0 | indirekt |
| PyPI | python-dotenv | 1.1.1 | indirekt |
| PyPI | python-multipart | 0.0.22 | indirekt |
| PyPI | pywin32 | 311 | indirekt |
| PyPI | pyyaml | 6.0.2 | indirekt |
| PyPI | referencing | 0.37.0 | indirekt |
| PyPI | rpds-py | 0.30.0 | indirekt |
| PyPI | rsa | 4.9 | indirekt |
| PyPI | s3transfer | 0.11.3 | indirekt |
| PyPI | six | 1.16.0 | indirekt |
| PyPI | sniffio | 1.3.1 | indirekt |
| PyPI | sse-starlette | 3.3.2 | indirekt |
| PyPI | starlette | 0.52.1 | indirekt |
| PyPI | tomli | 2.0.1 | indirekt |
| PyPI | tqdm | 4.66.4 | indirekt |
| PyPI | types-requests | 2.31.0.6 | indirekt |
| PyPI | types-urllib3 | 1.26.25.14 | indirekt |
| PyPI | typing-extensions | 4.14.0 | indirekt |
| PyPI | typing-inspection | 0.4.1 | indirekt |
| PyPI | urllib3 | 1.26.20 | indirekt |
| PyPI | uvicorn | 0.42.0 | indirekt |
| PyPI | vcrpy | 6.0.2 | indirekt |
| PyPI | websockets | 15.0.1 | indirekt |
| PyPI | wrapt | 1.16.0 | indirekt |
| PyPI | yarl | 1.15.2 | indirekt |
| PyPI | zipp | 3.19.2 | indirekt |
Abhängigkeits-Advisories 0
Die Installation von pypi:promptlayer@1.5.1 zieht 37 Pakete nach sich, direkt und transitiv: 0 tragen bekannte Advisories, davon 0 direkte Abhängigkeiten.
Keine bekannten Advisories betreffen die bewerteten Abhängigkeiten.
Ein Advisory bedeutet, dass die im Abhängigkeitsgraphen erfasste Version in den betroffenen Bereich eines Advisories fällt. Erreichbarkeit wird nicht analysiert, und der Graph enthält Entwicklungs- und Test-Pins — ein Fund kann das Werkzeug betreffen und nicht die ausgelieferte Software.
JSON-Rohbericht maschinenlesbar
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"author_name": "bb220",
"author_login": "bb220",
"committed_at": "2026-04-17T19:24:30Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "97c65ce7ed7289143e5847c082bed45310894d32",
"body": null,
"is_bot": false,
"headline": "update readme",
"author_name": "bb220",
"author_login": "bb220",
"committed_at": "2026-04-17T19:18:42Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "4c80383ef1344a8afe601de120db3882ac123917",
"body": null,
"is_bot": false,
"headline": "update readme",
"author_name": "bb220",
"author_login": "bb220",
"committed_at": "2026-04-17T19:14:58Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "c3c823b0dfd60a91537218b979e3e18a9e3dfbde",
"body": null,
"is_bot": false,
"headline": "Fix for Skills (#313)",
"author_name": "Vlad Vasilenko",
"author_login": "T3XRD",
"committed_at": "2026-04-17T15:19:33Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "2b80d61830d4cd3efa33d5344c98d5e6aae1c83a",
"body": null,
"is_bot": false,
"headline": "Cache invalidate (#312)",
"author_name": "Pasha Kononov",
"author_login": "super-jaba",
"committed_at": "2026-04-13T14:28:38Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "12d9ccbbaf26132b0ed4c453769101b5fd193c28",
"body": null,
"is_bot": false,
"headline": "Add Skill Collections functionality to SDK (#311)",
"author_name": "Vlad Vasilenko",
"author_login": "T3XRD",
"committed_at": "2026-04-08T15:57:52Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "b796cad4fa6e02881f922ec0bb6cc24e83df694b",
"body": "## Summary\n- Introduced a new `PromptTemplateCache` class for thread-safe in-memory\ncaching of prompt templates with TTL support.\n- Updated `TemplateManager` and `AsyncTemplateManager` to utilize the\ncaching mechanism, improving performance by reducing API calls.\n- Added a `cache_ttl_seconds` parame\n[…]\n[ ] Verified caching behavior with various prompt requests.\n- [ ] Ensured backward compatibility with existing functionality.\n- [ ] Ran unit tests to confirm no regressions in template fetching\nlogic.",
"is_bot": false,
"headline": "SDK cache (#310)",
"author_name": "Pasha Kononov",
"author_login": "super-jaba",
"committed_at": "2026-04-01T15:32:53Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "707f5526e2974d3745220c28fb56f615f20cf876",
"body": "## Summary\n- Vendors latest Claude Code trace plugin which rewrites shell+CLI logic\n(`jq`, `uuidgen`, `curl`) into a pure Python `hooks/py/` package,\nremoving external CLI dependencies that caused DX friction for SDK users\n- Updates `_REQUIRED_VENDOR_FILES` in `config.py`, vendor script, and\ntests to match new plugin structure\n- Bumps SDK version to 1.2.3\n\n## Test plan\n- [x] `make vendor-claude-agents-plugin` succeeds\n- [x] `make lint` passes\n- [x] `test_claude_agents_config.py` — 11/11 pass",
"is_bot": false,
"headline": "Bump claude plugin: replace jq/uuidgen/curl with Python (#307)",
"author_name": "Rohan Mishra",
"author_login": "adagradschool",
"committed_at": "2026-03-23T21:19:17Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "cbf7647524b1f77d2f0c05007869d9c5c4696566",
"body": "…prompt\n\nfix: remove duplicate api_key arg in sync prompt() call",
"is_bot": false,
"headline": "Merge pull request #308 from MagnivOrg/fix/duplicate-api-key-in-sync-…",
"author_name": "Jonathan Pedoeem",
"author_login": "Jped",
"committed_at": "2026-03-23T21:10:12Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "8baa42400916309668ac1f1120bf193223129ccd",
"body": "The sync prompt() function in track/track.py was passing api_key twice\nto promptlayer_track_prompt(), causing version and label to shift into\nwrong positions. The async aprompt() was already correct.\n\nBumps version to 1.2.3.",
"is_bot": false,
"headline": "fix: remove duplicate api_key arg in sync prompt() call",
"author_name": "NoamBenS",
"author_login": "NoamBenS",
"committed_at": "2026-03-23T21:02:46Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "abcb9939059afad570d4978c9b0046ef42449857",
"body": null,
"is_bot": false,
"headline": "Bump version to 1.2.2 (#306)",
"author_name": "Rohan Mishra",
"author_login": "adagradschool",
"committed_at": "2026-03-19T22:37:45Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "d32a08f9cf4e65c9bf926ba398f6090ff6cacfab",
"body": "## Summary\n- Vendor latest `promptlayer-claude-plugins`\n(MagnivOrg/promptlayer-claude-plugins#6)\n- Renames `$end` → `$end_time` jq variable in `build_span_json` — `$end`\nis reserved in jq 1.6 (Debian bookworm), causing spans to silently fail\n- Bump version to 1.2.1 (`pyproject.toml` + `__init__.py`)\n[…]\nenerated with [Claude Code](https://claude.com/claude-code)\n\nCo-authored-by: adagradschool <adagradschool@users.noreply.github.com>\nCo-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>",
"is_bot": false,
"headline": "Fix jq 1.6 compat in vendored Claude plugin, bump to 1.2.1 (#305)",
"author_name": "Rohan Mishra",
"author_login": "adagradschool",
"committed_at": "2026-03-19T22:29:10Z",
"body_truncated": true,
"is_coding_agent": true
},
{
"oid": "9ecb445bf89d938e5bf410fb3103cb3240c3f9f6",
"body": "Fix async stream crash: move stream check before model_dump",
"is_bot": false,
"headline": "Merge pull request #304 from MagnivOrg/fix/async-stream-model-dump",
"author_name": "Jonathan Pedoeem",
"author_login": "Jped",
"committed_at": "2026-03-19T21:58:29Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "71409ad0185d3b7f117fd4bb4e763d3bbf1dd1af",
"body": "Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>",
"is_bot": false,
"headline": "Bump __version__ in __init__.py to 1.2.1",
"author_name": "Jonathan Pedoeem",
"author_login": "Jped",
"committed_at": "2026-03-19T21:56:48Z",
"body_truncated": false,
"is_coding_agent": true
},
{
"oid": "4748c1f52ea92f47eee06d74499c4f1715803c50",
"body": "In AsyncPromptLayer._run_internal, response.model_dump() was called\nbefore checking if stream=True. When streaming, the LLM returns an\nAsyncStream object which may not have model_dump, causing:\n AttributeError: 'AsyncStream' object has no attribute 'model_dump'\n\nThe sync version already had the cor\n[…]\n match: check stream first, return early with the raw\nstream, and only serialize for non-stream responses.\n\nBump version to 1.2.1.\n\nCo-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>",
"is_bot": false,
"headline": "Fix async stream crash: move stream check before model_dump (#304)",
"author_name": "Jonathan Pedoeem",
"author_login": "Jped",
"committed_at": "2026-03-19T21:56:06Z",
"body_truncated": true,
"is_coding_agent": true
},
{
"oid": "3648d01ba5651cebec7d7208612cc854fcc84ede",
"body": "## Summary\n- add a new `promptlayer.integrations.claude_agents` integration with\n`get_claude_config()` and typed config objects\n- vendor the PromptLayer Claude plugin into the package and add a\nmaintainer vendoring script plus Make target\n- add packaging/test coverage for the optional `claude-agents\n[…]\n of `get_claude_config()`\n- Verified E2E locally\n\n---------\n\nCo-authored-by: adagradschool <adagradschool@users.noreply.github.com>\nCo-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>",
"is_bot": false,
"headline": "Add Claude Agents integration (#303)",
"author_name": "Rohan Mishra",
"author_login": "adagradschool",
"committed_at": "2026-03-19T13:08:08Z",
"body_truncated": true,
"is_coding_agent": true
},
{
"oid": "c5dccaeb6ef4cebad02866a5f095bff109860016",
"body": "## Summary\n\nAdd OpenAI Agents tracing support by translating Agents traces into OTLP\nspans for PromptLayer ingestion.\n\n## What changed\n\n- add `promptlayer.integrations.openai_agents`\n- implement an OpenAI Agents `TracingProcessor` that:\n - creates a synthetic root span per Agents trace\n - maps Age\n[…]\nbulk` tracing path unchanged\n- bump the package version to `1.1.1`\n- Updated `ruff` and `readme` to support `3.9+`\n\n## Validation\n\n- `ruff format .`\n- `ruff check .`\n- `pytest -q`\n\nResult: `93 passed`",
"is_bot": false,
"headline": "Add OpenAI Agents OTLP tracing integration (#302)",
"author_name": "Rohan Mishra",
"author_login": "adagradschool",
"committed_at": "2026-03-17T16:38:19Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "d3b5f9f9f0bc3156ad81d9dbe9e9d7495dc7b367",
"body": "…blueprint\n\nAdd streaming blueprint support for built-in tools across multiple providers (Google, Anthropic, OpenAI)",
"is_bot": false,
"headline": "Merge pull request #301 from MagnivOrg/usama/builtin-tools-streaming-…",
"author_name": "Usama Anser",
"author_login": "UsamaAnser1518",
"committed_at": "2026-03-16T21:44:41Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "6fb380481608117a114f273f3fa6e7cc2a23fc64",
"body": null,
"is_bot": false,
"headline": "fix: Bumped SDK version and resolved feedback",
"author_name": "Usama Anser",
"author_login": "UsamaAnser1518",
"committed_at": "2026-03-16T20:53:07Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "6ae8a4d8623ebed32637d7f014e07b0a1b5cde4f",
"body": null,
"is_bot": false,
"headline": "fix: Resolve PR feedback and comments",
"author_name": "Usama Anser",
"author_login": "UsamaAnser1518",
"committed_at": "2026-03-16T19:28:32Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "93330c994cd23fd670a0e0e662212c7f13ddb6dc",
"body": null,
"is_bot": false,
"headline": "fix: Fix pre-commit formatting issues",
"author_name": "Usama Anser",
"author_login": "UsamaAnser1518",
"committed_at": "2026-03-16T17:11:59Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "0ac62fe64039e096d7d774c03d4040c029f623e1",
"body": null,
"is_bot": false,
"headline": "fix: Linter formatting fix",
"author_name": "Usama Anser",
"author_login": "UsamaAnser1518",
"committed_at": "2026-03-16T17:03:11Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "d35cec528832dd5a443be253061eebfbb42c2c14",
"body": "…ple providers (Google, Anthropic, OpenAI)\n\n - Map OpenAI Responses API tools: shell, apply-patch, MCP, image generation, code interpreter, web search\n - Map Anthropic tools: web search with citations, bash, text editor\n - Map Google tools: code execution, image output, URL context, file search, Maps search\n - Add OpenAI Images API streaming support\n - Add type definitions for all new content types\n - Provider metadata only includes fields actually present in the raw response",
"is_bot": false,
"headline": "feat: Add streaming blueprint support for built-in tools across multi…",
"author_name": "Usama Anser",
"author_login": "UsamaAnser1518",
"committed_at": "2026-03-16T16:56:01Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "aef13166e40bbca5d475363f5dae0450634b2e89",
"body": "## Summary\n- When fetching a prompt template (via `TemplateManager.get()` or\n`AsyncTemplateManager.get()`), automatically set `promptlayer.prompt.*`\nattributes as baggage on the OpenTelemetry span\n- Attributes include `name`, `id`, `version`, and `label`\n- This enables OTLP-based trace exporters to \n[…]\ntribute\ninjection, no-op on non-recording spans, and missing fields\n\n## Test plan\n- [x] Unit tests for `set_prompt_span_attributes` (4 tests, all passing)\n- [x] Full test suite passes (no regressions)",
"is_bot": false,
"headline": "feat: inject prompt template attributes onto OTEL spans (#300)",
"author_name": "Rohan Mishra",
"author_login": "adagradschool",
"committed_at": "2026-03-05T15:34:00Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "fb5635bdfbeed4b967419693454a205d0fe077bd",
"body": "## Summary\n\nWhen `.run()` throws on an LLM call, the SDK now catches the exception,\nlogs it to PromptLayer with `status=ERROR`, `error_type`, and\n`error_message`, then re-raises. Also adds these fields to\n`log_request()` for manual callers. Error categorization is duck-typed —\nno provider imports in\n[…]\n Generated with [Claude Code](https://claude.com/claude-code)\n\n---------\n\nCo-authored-by: adagradschool <adagradschool@users.noreply.github.com>\nCo-authored-by: Claude Opus 4.6 <noreply@anthropic.com>",
"is_bot": false,
"headline": "feat: Log failed LLM calls to PromptLayer before re-raising (#296)",
"author_name": "Rohan Mishra",
"author_login": "adagradschool",
"committed_at": "2026-02-24T15:27:14Z",
"body_truncated": true,
"is_coding_agent": true
},
{
"oid": "c9ecfe6a5113c7566c75f286951fc5eeb88a21e4",
"body": "- Added tests for workflow timeout\n- Version bump",
"is_bot": false,
"headline": "Added test for workflow-timeout (#293)",
"author_name": "Hasaan Majeed",
"author_login": "hasaan21",
"committed_at": "2026-02-23T22:10:12Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "1dd278f2f415ff03072e34a93615ae35df8aa57c",
"body": "I need to be able to add a timeout for my workflow execution. I think\nthat it is a good idea to provide this feature in the library.\n\nThe PR Introduces an optional `timeout` parameter for workflow\nexecution, allowing operations to exit if they exceed the specified time\nlimit. Updated both synchronou\n[…]\nexecution paths to\nhandle timeouts using `asyncio.wait_for`.\nThe API change is backward compatible, if no timeout is specified the\nbehavior is unchanged.\n\nCo-authored-by: Rémi Pradal <rpradal@ekie.co>",
"is_bot": false,
"headline": "feat: Add support for timeout in workflow execution (#286)",
"author_name": "Rémi Pradal",
"author_login": "rpradal",
"committed_at": "2026-02-09T14:08:56Z",
"body_truncated": true,
"is_coding_agent": false
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{
"oid": "3203b5d376dde4506b9da87c2c5374298e16fca4",
"body": "Co-authored-by: d3vv3r <ananalabinfowayne@gmail.com>\nCo-authored-by: Claude <noreply@anthropic.com>",
"is_bot": false,
"headline": "Claude/slack add tests url encode q zuzo (#291)",
"author_name": "Jonathan Pedoeem",
"author_login": "Jped",
"committed_at": "2026-01-21T15:29:49Z",
"body_truncated": false,
"is_coding_agent": true
},
{
"oid": "c58f9911184dbb704343d3820d42d1f915767662",
"body": "Cache LLM clients to prevent connection pool exhaustion",
"is_bot": false,
"headline": "Merge pull request #289 from MagnivOrg/cache-llm-clients",
"author_name": "Jonathan Pedoeem",
"author_login": "Jped",
"committed_at": "2026-01-15T16:04:50Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "ab3c25a487788a2eed682034c04feef339efbb64",
"body": "Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>",
"is_bot": false,
"headline": "Update poetry.lock with cachetools",
"author_name": "Jonathan Pedoeem",
"author_login": "Jped",
"committed_at": "2026-01-15T15:52:09Z",
"body_truncated": false,
"is_coding_agent": true
},
{
"oid": "9f4daa34e6fd70d0358439904e579ac3fae7ab4c",
"body": "Switch from unbounded dict to cachetools.LRUCache with maxsize=100\nto prevent memory growth in long-running systems.\n\nCo-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>",
"is_bot": false,
"headline": "Use LRUCache for bounded client caching",
"author_name": "Jonathan Pedoeem",
"author_login": "Jped",
"committed_at": "2026-01-15T15:50:29Z",
"body_truncated": false,
"is_coding_agent": true
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{
"oid": "b1b765cbce5f91fa9d5e18986ec86222808c3965",
"body": "Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>",
"is_bot": false,
"headline": "Bump version to 1.0.81",
"author_name": "Jonathan Pedoeem",
"author_login": "Jped",
"committed_at": "2026-01-14T23:53:02Z",
"body_truncated": false,
"is_coding_agent": true
},
{
"oid": "836dacbc0013d2bdbf69ce30d4c68e1ff88536a6",
"body": "Add thread-safe caching for all LLM provider clients (OpenAI, Anthropic,\nMistral, Google, VertexAI, AWS Bedrock) to prevent connection pool\nexhaustion under high concurrency. Uses simple cache keys based on\nAPI key and base URL for efficient lookups.\n\nCo-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>",
"is_bot": false,
"headline": "Cache LLM clients to prevent connection pool exhaustion",
"author_name": "Jonathan Pedoeem",
"author_login": "Jped",
"committed_at": "2026-01-14T23:52:32Z",
"body_truncated": false,
"is_coding_agent": true
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{
"oid": "16a95817c85ca038debfa4ca0e1cb45dd4f8b737",
"body": "This reverts commit 157d4c382bba5ed230e404c0b183b72c5fb5de1a.",
"is_bot": false,
"headline": "Revert \"Cache LLM clients to prevent connection pool exhaustion\"",
"author_name": "Jonathan Pedoeem",
"author_login": "Jped",
"committed_at": "2026-01-14T23:52:19Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "157d4c382bba5ed230e404c0b183b72c5fb5de1a",
"body": "Add thread-safe caching for all LLM provider clients (OpenAI, Anthropic,\nMistral, Google, VertexAI, AWS Bedrock) to prevent connection pool\nexhaustion under high concurrency. Uses simple cache keys based on\nAPI key and base URL for efficient lookups.\n\nCo-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>",
"is_bot": false,
"headline": "Cache LLM clients to prevent connection pool exhaustion",
"author_name": "Jonathan Pedoeem",
"author_login": "Jped",
"committed_at": "2026-01-14T23:50:28Z",
"body_truncated": false,
"is_coding_agent": true
},
{
"oid": "330fb36da743503c94b00324b215fe0bb9ae73a2",
"body": "Use shared requests.Session for connection pooling and retry on conne…",
"is_bot": false,
"headline": "Merge pull request #288 from MagnivOrg/fix/retry-on-connection-errors",
"author_name": "Jonathan Pedoeem",
"author_login": "Jped",
"committed_at": "2026-01-14T21:57:43Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "690139c11a46fa2c29dd9408f0cb30d35403c86f",
"body": "…on errors, and add SDK headers\n\nChanges:\n1. Added thread-safe module-level requests.Session via _get_requests_session()\n with double-checked locking pattern for safe concurrent initialization\n\n2. Configured HTTPAdapter with configurable pool size (default 100) via env vars:\n - PROMPTLAYER_POOL_\n[…]\nonPool Max retries exceeded\" errors with\n\"NewConnectionError: No route to host\" when making many concurrent requests.\n\nBumps version to 1.0.80.\n\nCo-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>",
"is_bot": false,
"headline": "Use shared requests.Session for connection pooling, retry on connecti…",
"author_name": "Jonathan Pedoeem",
"author_login": "Jped",
"committed_at": "2026-01-14T21:53:09Z",
"body_truncated": true,
"is_coding_agent": true
},
{
"oid": "d524ef74b052d83c9f2001666570618501fe351b",
"body": null,
"is_bot": false,
"headline": "Fixed log request for responses api (#284)",
"author_name": "Hasaan Majeed",
"author_login": "hasaan21",
"committed_at": "2025-12-23T22:27:23Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "909626288c4ff05de5ea7b1030744d78062e2fc2",
"body": null,
"is_bot": false,
"headline": "Added openai code-interpreter tool (#283)",
"author_name": "Hasaan Majeed",
"author_login": "hasaan21",
"committed_at": "2025-12-01T15:53:08Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "01a77fd15864d42100b74295b8d31d86e4a56b6b",
"body": null,
"is_bot": false,
"headline": "Fixed escape symbols (#282)",
"author_name": "Pavel Kononov",
"author_login": "super-jaba",
"committed_at": "2025-11-24T23:35:47Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "9b6a1c70dd9f207646bb2cf96b8ca5ff0c9536de",
"body": "Incorrect Latency",
"is_bot": false,
"headline": "Merge pull request #281 from MagnivOrg/fix-latency",
"author_name": "Jonathan Pedoeem",
"author_login": "Jped",
"committed_at": "2025-11-21T20:55:37Z",
"body_truncated": false,
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},
{
"oid": "11b09f58704a1be94e55697df75c192fca923633",
"body": null,
"is_bot": false,
"headline": "fixing tests",
"author_name": "Jonathan Pedoeem",
"author_login": "Jped",
"committed_at": "2025-11-21T20:54:30Z",
"body_truncated": false,
"is_coding_agent": false
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{
"oid": "8579441eabff2d2d1ed0d053b0e29a955b54cd92",
"body": null,
"is_bot": false,
"headline": "tests",
"author_name": "Jonathan Pedoeem",
"author_login": "Jped",
"committed_at": "2025-11-21T20:49:29Z",
"body_truncated": false,
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"name": "Commit cadence",
"detail": "32/52 weeks with commits",
"points": 22.2,
"status": "partial",
"details": [
{
"code": "commit_cadence_weeks",
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"weeks": 32
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}
],
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{
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"points": 18,
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{
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"count": 103
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}
],
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{
"key": "openssf_scorecard_maintained",
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"detail": "28 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10",
"points": 10,
"status": "met",
"details": [],
"max_points": 10
}
]
},
{
"key": "release_discipline",
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"name": "Release discipline",
"note": "Excluded from scoring (no data or not applicable): OpenSSF Scorecard: Signed-Releases. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
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}
},
{
"code": "weights_renormalized",
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}
],
"value": 88,
"inputs": {
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"latest_release_tag": "v1.5.1",
"releases_from_tags": true,
"days_since_latest_release": 2,
"mean_days_between_releases": 11.7
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"components": [
{
"key": "ships_releases",
"name": "Ships releases",
"detail": "24 version tags (no GitHub releases)",
"points": 16.2,
"status": "partial",
"details": [
{
"code": "version_tags_no_releases",
"params": {
"count": 24
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}
],
"max_points": 27
},
{
"key": "release_recency",
"name": "Release recency",
"detail": "latest release 2 days ago",
"points": 36,
"status": "met",
"details": [
{
"code": "release_recency",
"params": {
"days": 2
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}
],
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},
{
"key": "release_cadence",
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"detail": "a release every ~11.7 days",
"points": 27,
"status": "met",
"details": [
{
"code": "release_cadence",
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"gap": 11.7
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{
"key": "openssf_scorecard_signed_releases",
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"points": 0,
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],
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]
},
{
"key": "abandonment",
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"note": null,
"notes": [],
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"inputs": {
"cap": null,
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"guards": [],
"signals": [],
"red_flag": false,
"multiplier_pct": 100,
"declared_reason": null,
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"components": [
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"points": 100,
"status": "met",
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{
"code": "abandonment_maintained",
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}
],
"max_points": 100
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]
}
],
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},
{
"key": "community",
"band": "moderate",
"name": "Community & Adoption",
"value": 68,
"weight": 0.18,
"metrics": [
{
"key": "popularity",
"band": "moderate",
"name": "Popularity & adoption",
"note": null,
"notes": [],
"value": 67,
"inputs": {
"forks": 92,
"stars": 780,
"watchers": 6,
"growth_state": "unverified",
"growth_factor_pct": 100,
"growth_unverified_reason": "no_history"
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"components": [
{
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"name": "Stars",
"detail": "780 stars",
"points": 46.9,
"status": "partial",
"details": [
{
"code": "stars",
"params": {
"count": 780
}
}
],
"max_points": 60
},
{
"key": "forks",
"name": "Forks",
"detail": "92 forks",
"points": 16.3,
"status": "partial",
"details": [
{
"code": "forks",
"params": {
"count": 92
}
}
],
"max_points": 25
},
{
"key": "watchers",
"name": "Watchers",
"detail": "6 watchers",
"points": 3.9,
"status": "partial",
"details": [
{
"code": "watchers",
"params": {
"count": 6
}
}
],
"max_points": 15
}
]
},
{
"key": "community_health",
"band": "moderate",
"name": "Community health",
"note": null,
"notes": [],
"value": 50,
"inputs": {
"has_readme": true,
"has_license": true,
"has_contributing": false,
"has_issue_template": false,
"has_code_of_conduct": false,
"has_pull_request_template": false
},
"components": [
{
"key": "readme",
"name": "README",
"detail": null,
"points": 22.5,
"status": "met",
"details": [],
"max_points": 22.5
},
{
"key": "license",
"name": "License",
"detail": "recognized license (Apache-2.0)",
"points": 22.5,
"status": "met",
"details": [
{
"code": "license_standard",
"params": {}
},
{
"code": "license_spdx",
"params": {
"spdx": "Apache-2.0"
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}
],
"max_points": 22.5
},
{
"key": "contributing_guide",
"name": "CONTRIBUTING guide",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 18
},
{
"key": "code_of_conduct",
"name": "Code of conduct",
"detail": null,
"points": 0,
"status": "missed",
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},
{
"key": "issue_template",
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"points": 0,
"status": "missed",
"details": [],
"max_points": 7.2
},
{
"key": "pr_template",
"name": "PR template",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 6.3
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]
},
{
"key": "ecosystem_adoption",
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"name": "Ecosystem adoption (downloads)",
"note": "Excluded from scoring (no data or not applicable): Registry dependents. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
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},
{
"code": "weights_renormalized",
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}
],
"value": 95,
"inputs": {
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"dependents": null,
"ecosystems": "pypi",
"total_downloads": null,
"monthly_downloads": 482214
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"components": [
{
"key": "monthly_downloads",
"name": "Monthly downloads",
"detail": "482,214 downloads/month across pypi",
"points": 75.8,
"status": "partial",
"details": [
{
"code": "downloads_monthly",
"params": {
"count": 482214,
"ecosystems": "pypi"
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}
],
"max_points": 80
},
{
"key": "registry_dependents",
"name": "Registry dependents",
"detail": "not reported by this ecosystem",
"points": 0,
"status": "excluded",
"details": [
{
"code": "not_reported_by_this_ecosystem",
"params": {}
}
],
"max_points": 20
}
]
}
],
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},
{
"key": "governance",
"band": "good",
"name": "Sustainability & Governance",
"value": 76,
"weight": 0.24,
"metrics": [
{
"key": "maintainer_resilience",
"band": "moderate",
"name": "Maintainer resilience (bus factor)",
"note": null,
"notes": [],
"value": 61,
"inputs": {
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"contributors_sampled": 25,
"top_contributor_share": 0.437
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"components": [
{
"key": "bus_factor",
"name": "Bus factor",
"detail": "2 contributor(s) cover half of all commits",
"points": 25.2,
"status": "partial",
"details": [
{
"code": "bus_factor",
"params": {
"count": 2
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}
],
"max_points": 54
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{
"key": "commit_distribution",
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"detail": "top contributor authored 44% of commits",
"points": 12.7,
"status": "partial",
"details": [
{
"code": "top_contributor_share",
"params": {
"share": 44
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}
],
"max_points": 22.5
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{
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"detail": "25 contributors",
"points": 13.5,
"status": "met",
"details": [
{
"code": "contributors_sampled",
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}
],
"max_points": 13.5
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{
"key": "openssf_scorecard_contributors",
"name": "OpenSSF Scorecard: Contributors",
"detail": "project has 4 contributing companies or organizations",
"points": 10,
"status": "met",
"details": [],
"max_points": 10
}
]
},
{
"key": "responsiveness",
"band": "excellent",
"name": "Issue & PR responsiveness",
"note": null,
"notes": [],
"value": 86,
"inputs": {
"merged_prs": 184,
"open_issues": 15,
"closed_issues": 81,
"issue_closed_ratio": 0.844,
"closed_unmerged_prs": 41
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"components": [
{
"key": "issue_resolution",
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"detail": "84% of issues closed",
"points": 39.5,
"status": "partial",
"details": [
{
"code": "issues_closed_share",
"params": {
"share": 84
}
}
],
"max_points": 46.75
},
{
"key": "pr_acceptance",
"name": "PR acceptance",
"detail": "184/225 decided PRs merged",
"points": 31.3,
"status": "partial",
"details": [
{
"code": "decided_prs_merged",
"params": {
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"decided": 225
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}
],
"max_points": 38.25
},
{
"key": "openssf_scorecard_code_review",
"name": "OpenSSF Scorecard: Code-Review",
"detail": "all changesets reviewed",
"points": 15,
"status": "met",
"details": [],
"max_points": 15
}
]
},
{
"key": "stewardship",
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"name": "Ownership & stewardship",
"note": null,
"notes": [],
"value": 63,
"inputs": {
"followers": 79,
"owner_type": "Organization",
"is_verified": null,
"owner_login": "MagnivOrg",
"public_repos": 25,
"account_age_days": 1676
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"components": [
{
"key": "ownership_backing",
"name": "Ownership backing",
"detail": "organization-owned",
"points": 30,
"status": "met",
"details": [
{
"code": "owner_organization",
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}
],
"max_points": 30
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{
"key": "verified_domain",
"name": "Verified domain",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 20
},
{
"key": "owner_reach",
"name": "Owner reach",
"detail": "79 followers of MagnivOrg",
"points": 13.7,
"status": "partial",
"details": [
{
"code": "owner_followers",
"params": {
"count": 79,
"login": "MagnivOrg"
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}
],
"max_points": 25
},
{
"key": "track_record",
"name": "Track record",
"detail": "25 public repos, account ~4 yr old",
"points": 19.5,
"status": "partial",
"details": [
{
"code": "public_repos",
"params": {
"count": 25
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},
{
"code": "account_age_years",
"params": {
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}
],
"max_points": 25
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]
},
{
"key": "package_maintenance",
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"name": "Package maintenance",
"note": null,
"notes": [],
"value": 100,
"inputs": {
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"ecosystems": "pypi",
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"min_days_since_publish": 2
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"components": [
{
"key": "published_resolvable",
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"detail": "1 package(s) on pypi",
"points": 25,
"status": "met",
"details": [
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"code": "packages_published",
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"ecosystems": "pypi"
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}
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{
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"points": 35,
"status": "met",
"details": [
{
"code": "publish_recency",
"params": {
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}
],
"max_points": 35
},
{
"key": "version_history",
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"detail": "190 published versions",
"points": 20,
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"details": [
{
"code": "published_versions",
"params": {
"count": 190
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}
],
"max_points": 20
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{
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],
"max_points": 20
}
]
}
],
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},
{
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"name": "Engineering Quality",
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"weight": 0.2,
"metrics": [
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"key": "engineering_practices",
"band": "excellent",
"name": "Engineering practices",
"note": null,
"notes": [],
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"inputs": {
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"has_tests": true,
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"components": [
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"name": "CI workflows",
"detail": "3 workflow(s)",
"points": 24,
"status": "met",
"details": [
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"code": "ci_workflows",
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}
],
"max_points": 24
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{
"key": "tests_present",
"name": "Tests present",
"detail": null,
"points": 24,
"status": "met",
"details": [],
"max_points": 24
},
{
"key": "linter_config",
"name": "Linter config",
"detail": null,
"points": 16,
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"details": [],
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},
{
"key": "pre_commit_hooks",
"name": "Pre-commit hooks",
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"points": 9.6,
"status": "met",
"details": [],
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},
{
"key": "editorconfig",
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"detail": null,
"points": 6.4,
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"details": [],
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{
"key": "openssf_scorecard_ci_tests",
"name": "OpenSSF Scorecard: CI-Tests",
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"status": "met",
"details": [],
"max_points": 20
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]
},
{
"key": "documentation",
"band": "good",
"name": "Documentation",
"note": null,
"notes": [],
"value": 75,
"inputs": {
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"prompt",
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"components": [
{
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{
"key": "documentation_directory",
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"points": 0,
"status": "missed",
"details": [],
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{
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{
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{
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}
],
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{
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"status": "met",
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"max_points": 10
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]
}
],
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{
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"name": "Security",
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"weight": 0.16,
"metrics": [
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"notes": [
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"components": [
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},
{
"code": "weights_renormalized",
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],
"value": 61,
"inputs": {
"source": "openssf_scorecard",
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"scorecard_version": "v5.5.0",
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"components": [
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"points": 7.5,
"status": "met",
"details": [],
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},
{
"key": "branch_protection",
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"points": 3.8,
"status": "partial",
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},
{
"key": "ci_tests",
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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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},
{
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},
{
"key": "contributors",
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"points": 2.5,
"status": "met",
"details": [],
"max_points": 2.5
},
{
"key": "dangerous_workflow",
"name": "Dangerous-Workflow",
"detail": "no dangerous workflow patterns detected",
"points": 10,
"status": "met",
"details": [],
"max_points": 10
},
{
"key": "dependency_update_tool",
"name": "Dependency-Update-Tool",
"detail": "update tool detected",
"points": 7.5,
"status": "met",
"details": [],
"max_points": 7.5
},
{
"key": "fuzzing",
"name": "Fuzzing",
"detail": "project is not fuzzed",
"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "license",
"name": "License",
"detail": "license file detected",
"points": 2.5,
"status": "met",
"details": [],
"max_points": 2.5
},
{
"key": "maintained",
"name": "Maintained",
"detail": "28 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10",
"points": 7.5,
"status": "met",
"details": [],
"max_points": 7.5
},
{
"key": "packaging",
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"detail": "packaging workflow not detected",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 5
},
{
"key": "pinned_dependencies",
"name": "Pinned-Dependencies",
"detail": "dependency not pinned by hash detected -- score normalized to 0",
"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "sast",
"name": "SAST",
"detail": "SAST tool is run on all commits",
"points": 5,
"status": "met",
"details": [],
"max_points": 5
},
{
"key": "security_policy",
"name": "Security-Policy",
"detail": "security policy file not detected",
"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "signed_releases",
"name": "Signed-Releases",
"detail": "no releases found",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 7.5
},
{
"key": "token_permissions",
"name": "Token-Permissions",
"detail": "detected GitHub workflow tokens with excessive permissions",
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
},
{
"key": "vulnerabilities",
"name": "Vulnerabilities",
"detail": "77 existing vulnerabilities detected",
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
}
]
},
{
"key": "dependency_advisories",
"band": "excellent",
"name": "Dependency advisories",
"note": "Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:promptlayer@1.5.1 runtime dependency closure — what installing the published package pulls in — 37 packages. Reachability is not analyzed.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
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}
},
{
"code": "weights_renormalized",
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},
{
"code": "advisories_scope_published",
"params": {
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},
{
"code": "advisories_reachability",
"params": {}
}
],
"value": 100,
"inputs": {
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"affected_packages": 0,
"assessed_packages": 37,
"unassessed_packages": 0,
"affected_by_severity": "none",
"direct_affected_packages": 0
},
"components": [
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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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"red_flag": false,
"assessed_packages": 37,
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"direct_malicious_packages": 0,
"withdrawn_malicious_packages": 0,
"installable_malicious_packages": 0
},
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]
},
{
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"notes": [
{
"code": "jurisdiction_evidence_limits",
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}
],
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"Iran",
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},
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{
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{
"code": "jurisdiction_no_match",
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}
],
"max_points": 100
}
]
}
],
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},
{
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"weight": 0,
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},
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{
"code": "no_agent_instructions",
"params": {}
}
],
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},
{
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"points": 0,
"status": "missed",
"details": [],
"max_points": 15
},
{
"key": "legible_commit_history",
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"points": 36.3,
"status": "partial",
"details": [
{
"code": "legible_history",
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"legible": 64,
"sampled": 94
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}
],
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}
]
},
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"key": "ai_verify_loop",
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"note": null,
"notes": [],
"value": 71,
"inputs": {
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"has_tests": true,
"lockfiles": [
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],
"has_dockerfile": false,
"typed_language": false,
"bootstrap_files": [
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],
"has_devcontainer": true,
"has_linter_config": true,
"typecheck_configs": [],
"agent_commit_share": 0.12,
"toolchain_manifests": [],
"dependency_bot_commit_share": 0
},
"components": [
{
"key": "one_command_bootstrap",
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"detail": "Makefile",
"points": 18,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "Makefile"
}
}
],
"max_points": 18
},
{
"key": "automated_tests",
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"detail": null,
"points": 22,
"status": "met",
"details": [],
"max_points": 22
},
{
"key": "lint_format_config",
"name": "Lint / format config",
"detail": null,
"points": 11,
"status": "met",
"details": [],
"max_points": 11
},
{
"key": "static_type_checking",
"name": "Static type checking",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 11
},
{
"key": "reproducible_environment",
"name": "Reproducible environment",
"detail": "devcontainer, lockfile",
"points": 10,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "devcontainer, lockfile"
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}
],
"max_points": 10
},
{
"key": "demonstrated_agent_practice",
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"detail": "12 of the last 100 commits agent-authored or agent-credited",
"points": 10,
"status": "met",
"details": [
{
"code": "agent_authored_commits",
"params": {
"count": 12,
"sampled": 100
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}
],
"max_points": 10
},
{
"key": "automated_maintenance",
"name": "Automated maintenance",
"detail": "no automated dependency updates observed",
"points": 0,
"status": "missed",
"details": [
{
"code": "no_dependency_automation",
"params": {}
}
],
"max_points": 8
},
{
"key": "openssf_scorecard_pinned_dependencies",
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"detail": "dependency not pinned by hash detected -- score normalized to 0",
"points": 0,
"status": "missed",
"details": [],
"max_points": 10
}
]
},
{
"key": "ai_code_legibility",
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"name": "Code legibility for models",
"note": null,
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"largest_source_bytes": 98660,
"source_files_sampled": 114,
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},
"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",
"name": "Manageable file sizes",
"detail": "2/114 source files over 60KB",
"points": 54,
"status": "partial",
"details": [
{
"code": "oversized_source_files",
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"kb": 60,
"sampled": 114,
"oversized": 2
}
}
],
"max_points": 55
}
]
}
],
"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"
],
"report_type": "repository",
"generated_at": "2026-07-25T06:59:07.453479Z",
"schema_version": "0.27.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/m/MagnivOrg/prompt-layer-library.svg",
"full_name": "MagnivOrg/prompt-layer-library",
"license_state": "standard",
"license_spdx": "Apache-2.0"
}Bewertungen sind Signale, keine Garantien. Sie spiegeln öffentlich sichtbare Praxis auf GitHub wider — kein Code-Audit und keine Sicherheitsgarantie.
Fehlende Daten werden ausgeschlossen und die Gewichte neu normiert, nie als null bewertet. Die Methodik ist versioniert und offen: Metriken v1.13.0, Schema v0.27.0 — vollständige Methodik · Metriken-Wiki.
Wie ein einzelnes Ergebnis im Gesamtregister steht: aggregierte Statistiken — PyPI.