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Software-GesundheitsberichtSchema 0.15.0 · Metriken 1.13.0 · 2026-07-20 09:22 UTC
panther-labs / panther-analysis
Built-in Panther detection rules and policies
panther-labs/panther-analysis erreicht einen Gesundheitsindex von 82 von 100 und liegt damit im Bereich Gut. Am stärksten schneidet es bei Vitality (97/100) ab, am schwächsten bei Security (55/100). Zuletzt vor 4 Tagen aktualisiert. 7 Mitwirkende tragen den Großteil der jüngsten Arbeit.
82
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.
82
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
Panther LabsOrganisation
112 Follower25 öffentliche Reposseit Aug. 2018
Dieses Repository wird von einer Organisation getragen — geteilte, rechenschaftspflichtige Trägerschaft, die jeden einzelnen Maintainer überdauern kann.
Metriken nach Kategorie
Vitalität
Lebt das Projekt — wird Code geschrieben und werden Releases ausgeliefert?
97
Entwicklungsaktivität
97Exzellent
Wie die Bewertung erfolgt
| 36/36 | Push-Aktualität — letzter Push vor 4 Tagen |
| 33.2/36 | Commit-Rhythmus — 48/52 Wochen mit Commits |
| 18/18 | Commit-Volumen — 397 Commits im letzten Jahr |
| 10/10 | OpenSSF Scorecard: Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10 |
Verwendete Eingangsdaten
| commits_last_year | 397 |
| human_commit_share | — |
| days_since_last_push | 4 |
| active_weeks_last_year | 48 |
Release-Disziplin
98Exzellent
Wie die Bewertung erfolgt
| 27/27 | Liefert Releases aus — 100 Releases veröffentlicht |
| 36/36 | Release-Aktualität — letztes Release vor 12 Tagen |
| 27/27 | Release-Rhythmus — ein Release etwa alle 11,7 Tage |
| 8/10 | OpenSSF Scorecard: Signed-Releases — 5 out of the last 5 releases have a total of 5 signed artifacts. |
Verwendete Eingangsdaten
| releases_count | 100 |
| latest_release_tag | v3.112.0 |
| releases_from_tags | nein |
| days_since_latest_release | 12 |
| mean_days_between_releases | 11,7 |
Community & Verbreitung
Hat das Projekt Nutzer, Downloads, Aufmerksamkeit und ein einladendes Umfeld für Beitragende?
81
Wie die Bewertung erfolgt
| 43.1/60 | Stars — 458 Stars |
| 19.2/25 | Forks — 201 Forks |
| 8.4/15 | Watcher — 33 Watcher |
Verwendete Eingangsdaten
| forks | 201 |
| stars | 458 |
| watchers | 33 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Community-Gesundheit
92Exzellent
Wie die Bewertung erfolgt
| 22.5/22.5 | README |
| 22.5/22.5 | Lizenz — anerkannte Lizenz (Apache-2.0) |
| 18/18 | CONTRIBUTING-Leitfaden |
| 13.5/13.5 | Verhaltenskodex |
| 0/7.2 | Issue-Vorlage |
| 6.3/6.3 | PR-Vorlage |
Verwendete Eingangsdaten
| has_readme | ja |
| has_license | ja |
| has_contributing | ja |
| has_issue_template | nein |
| has_code_of_conduct | ja |
| has_pull_request_template | ja |
Nachhaltigkeit & Governance
Überdauert das Projekt die Menschen, die es tragen — Bus-Faktor, Reaktionsfähigkeit, Trägerschaft und Paketpflege?
85
Maintainer-Resilienz (Bus-Faktor)
93Exzellent
Wie die Bewertung erfolgt
| 51.3/54 | Bus-Faktor — 7 Beitragende decken die Hälfte aller Commits ab |
| 18.6/22.5 | Commit-Verteilung — wichtigste beitragende Person verfasste 17 % der Commits |
| 13.5/13.5 | Breite der Beitragenden — 100 Beitragende |
| 10/10 | OpenSSF Scorecard: Contributors — project has 14 contributing companies or organizations |
Verwendete Eingangsdaten
| bus_factor | 7 |
| contributors_sampled | 100 |
| top_contributor_share | 0,174 |
Reaktionsfähigkeit bei Issues & PRs
93Exzellent
Wie die Bewertung erfolgt
| 46.3/46.8 | Issue-Lösungsquote — 99 % der Issues geschlossen |
| 33.5/38.3 | PR-Annahme — 1.775/2.029 entschiedene PRs gemergt |
| 13.5/15 | OpenSSF Scorecard: Code-Review — Found 24/25 approved changesets -- score normalized to 9 |
Verwendete Eingangsdaten
| merged_prs | 1.775 |
| open_issues | 1 |
| closed_issues | 95 |
| issue_closed_ratio | 0,99 |
| closed_unmerged_prs | 254 |
Eigentümerschaft & Trägerschaft
67Mittel
Wie die Bewertung erfolgt
| 30/30 | Organisatorische Trägerschaft — im Besitz einer Organisation |
| 0/20 | Verifizierte Domain |
| 14.8/25 | Reichweite des Inhabers — 112 Follower von panther-labs |
| 22.3/25 | Kontohistorie — 25 öffentliche Repos, Kontoalter ca. 7 Jahre |
Verwendete Eingangsdaten
| followers | 112 |
| owner_type | Organization |
| is_verified | — |
| owner_login | panther-labs |
| public_repos | 25 |
| account_age_days | 2.908 |
Engineering-Qualität
Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?
82
Engineering-Praktiken
94Exzellent
Wie die Bewertung erfolgt
| 24/24 | CI-Workflows — 14 Workflow(s) |
| 24/24 | Tests vorhanden |
| 16/16 | Linter-Konfiguration — .pylintrc |
| 9.6/9.6 | Pre-Commit-Hooks |
| 0/6.4 | .editorconfig |
| 20/20 | OpenSSF Scorecard: CI-Tests — 27 out of 27 merged PRs checked by a CI test -- score normalized to 10 |
Verwendete Eingangsdaten
| has_ci | ja |
| has_tests | ja |
| has_editorconfig | nein |
| has_linter_config | ja |
| has_precommit_config | ja |
Dokumentation
65Mittel
Wie die Bewertung erfolgt
| 30/30 | README |
| 0/25 | Dokumentationsverzeichnis |
| 15/15 | Dokumentations-/Homepage-Site — https://panther.com/ |
| 10/10 | Repository-Beschreibung |
| 10/10 | Topics — 4 Topics |
| 0/10 | Wiki |
Verwendete Eingangsdaten
| topics | security, python, cybersecurity, siem |
| has_wiki | nein |
| homepage | https://panther.com/ |
| has_readme | ja |
| has_docs_dir | nein |
| has_description | ja |
Sicherheit
Sind die sichtbaren Sicherheits- und Lieferkettenpraktiken belastbar, ohne ungeklärte Exposition gegenüber Hochrisikojurisdiktionen?
55
Sicherheitslage
55Mittel
Wie die Bewertung erfolgt
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 0/7.5 | Branch-Protection — keine Daten |
| 2.5/2.5 | CI-Tests — 27 out of 27 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 |
| 6.8/7.5 | Code-Review — Found 24/25 approved changesets -- score normalized to 9 |
| 2.5/2.5 | Contributors — project has 14 contributing companies or organizations |
| 0/10 | Dangerous-Workflow — 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 — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10 |
| 0/5 | Packaging — keine Daten |
| 2/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 4 |
| 4.5/5 | SAST — SAST tool is not run on all commits -- score normalized to 9 |
| 2/5 | Security-Policy — security policy file detected |
| 6/7.5 | Signed-Releases — 5 out of the last 5 releases have a total of 5 signed artifacts. |
| 0/7.5 | Token-Permissions — detected GitHub workflow tokens with excessive permissions |
| 0/7.5 | Vulnerabilities — 23 existing vulnerabilities detected |
Verwendete Eingangsdaten
| source | openssf_scorecard |
| checks_evaluated | 16 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 2 |
| scorecard_aggregate | 5,5 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): branch_protection, packaging. Die verbleibenden Gewichte wurden renormalisiert.
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.
65
Wie die Bewertung erfolgt
| 45/45 | Agentenanweisungen — AGENTS.md, CLAUDE.md |
| 0/15 | Maschinenlesbare Doku (llms.txt) |
| 0/40 | Lesbare Commit-Historie — keine Daten |
Verwendete Eingangsdaten
| has_llms_txt | nein |
| legible_history_share | — |
| agent_instruction_files | AGENTS.md, CLAUDE.md |
| agent_instruction_max_bytes | 30.842 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Lesbare Commit-Historie. Die verbleibenden Gewichte wurden renormalisiert.
Wie die Bewertung erfolgt
| 18/18 | Bootstrap mit einem Befehl — Makefile |
| 22/22 | Automatisierte Tests |
| 11/11 | Lint-/Format-Konfiguration — .pylintrc |
| 0/11 | Statische Typprüfung |
| 10/10 | Reproduzierbare Umgebung — Dockerfile, lockfile |
| 0/10 | Belegte Agentenpraxis — keine Daten |
| 5/8 | Automatisierte Wartung — Abhängigkeits-Automatisierung konfiguriert, in den erfassten Commits nicht beobachtet |
| 4/10 | OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 4 |
Verwendete Eingangsdaten
| has_nix | nein |
| has_tests | ja |
| lockfiles | Pipfile.lock |
| has_dockerfile | ja |
| typed_language | nein |
| bootstrap_files | Makefile |
| has_devcontainer | nein |
| has_linter_config | ja |
| typecheck_configs | — |
| agent_commit_share | — |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Belegte Agentenpraxis. Die verbleibenden Gewichte wurden renormalisiert.
AI-Code-Lesbarkeit für Modelle
55Mittel
Wie die Bewertung erfolgt
| 0/45 | Typprüfbarer Code — Python ohne Typprüfungs-Konfiguration |
| 55/55 | Handhabbare Dateigrößen — 1/1.127 Quelldateien über 60 KB |
Verwendete Eingangsdaten
| primary_language | Python |
| largest_source_bytes | 121.530 |
| source_files_sampled | 1.127 |
| oversized_source_files | 1 |
Maschinenlesbare AI-Schnittstellen
20Kritisch
Wie die Bewertung erfolgt
| 0/40 | API-Schema (OpenAPI/GraphQL/proto) |
| 20/20 | MCP-Server |
| 0/40 | Lauffähige Beispiele |
Verwendete Eingangsdaten
| example_dirs | — |
| has_mcp_signal | ja |
| api_schema_files | — |
Eckdaten
458GitHub-Sterne
100Mitwirkende
397Commits, letzte 12 Monate
4Tage seit letztem Push
100Releases
7Bus-Faktor
1offene Issues
PyPIPaket-Ökosysteme
Weitere Details
OpenSSF Scorecard 5.5 / 10
5.5Gesamtwert
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 |
| k. A. | Branch-Protection | internal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md |
| 10 | CI-Tests | 27 out of 27 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 |
| 9 | Code-Review | Found 24/25 approved changesets -- score normalized to 9 |
| 10 | Contributors | project has 14 contributing companies or organizations |
| 0 | Dangerous-Workflow | dangerous workflow patterns detected |
| 10 | Dependency-Update-Tool | update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 10 | License | license file detected |
| 10 | Maintained | 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10 |
| k. A. | Packaging | packaging workflow not detected |
| 4 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 4 |
| 9 | SAST | SAST tool is not run on all commits -- score normalized to 9 |
| 4 | Security-Policy | security policy file detected |
| 8 | Signed-Releases | 5 out of the last 5 releases have a total of 5 signed artifacts. |
| 0 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 0 | Vulnerabilities | 23 existing vulnerabilities detected |
Alle Abhängigkeiten 130
Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 0 direkte und 130 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.
| Registry | Paket | Version | Beziehung |
|---|---|---|---|
| PyPI | aiohappyeyeballs | 2.6.2 | indirekt |
| PyPI | aiohttp | 3.13.3 | indirekt |
| PyPI | aiosignal | 1.4.0 | indirekt |
| PyPI | annotated-types | 0.7.0 | indirekt |
| PyPI | anyio | 4.12.1 | indirekt |
| PyPI | appdirs | 1.4.4 | indirekt |
| PyPI | astroid | 3.3.11 | indirekt |
| PyPI | async-timeout | 5.0.1 | indirekt |
| PyPI | attrs | 25.4.0 | indirekt |
| PyPI | backoff | 2.2.1 | indirekt |
| PyPI | bandit | 1.9.4 | indirekt |
| PyPI | black | 26.3.1 | indirekt |
| PyPI | boto3 | 1.42.97 | indirekt |
| PyPI | botocore | 1.42.97 | indirekt |
| PyPI | certifi | 2025.11.12 | indirekt |
| PyPI | cffi | 2.1.0 | indirekt |
| PyPI | cfgv | 3.5.0 | indirekt |
| PyPI | chardet | 5.2.0 | indirekt |
| PyPI | charset-normalizer | 3.4.7 | indirekt |
| PyPI | click | 8.3.3 | indirekt |
| PyPI | colorama | 0.4.6 | indirekt |
| PyPI | contextlib2 | 21.6.0 | indirekt |
| PyPI | cryptography | 49.0.0 | indirekt |
| PyPI | datadog | 0.52.2 | indirekt |
| PyPI | decorator | 5.2.1 | indirekt |
| PyPI | diff-cover | 10.0.0 | indirekt |
| PyPI | dill | 0.4.1 | indirekt |
| PyPI | distlib | 0.4.3 | indirekt |
| PyPI | dynaconf | 3.2.13 | indirekt |
| PyPI | exceptiongroup | 1.3.1 | indirekt |
| PyPI | filelock | 3.29.6 | indirekt |
| PyPI | frozenlist | 1.8.0 | indirekt |
| PyPI | gql | 4.0.0 | indirekt |
| PyPI | graphql-core | 3.2.11 | indirekt |
| PyPI | identify | 2.6.19 | indirekt |
| PyPI | idna | 3.18 | indirekt |
| PyPI | iniconfig | 2.3.0 | indirekt |
| PyPI | isort | 5.13.2 | indirekt |
| PyPI | jinja2 | 3.1.6 | indirekt |
| PyPI | jmespath | 1.0.1 | indirekt |
| PyPI | jsonlines | 4.0.0 | indirekt |
| PyPI | jsonpath-ng | 1.5.3 | indirekt |
| PyPI | jsonschema | 4.25.1 | indirekt |
| PyPI | jsonschema-specifications | 2025.9.1 | indirekt |
| PyPI | librt | 0.12.0 | indirekt |
| PyPI | linkify-it-py | 2.1.0 | indirekt |
| PyPI | markdown-it-py | 4.2.0 | indirekt |
| PyPI | markupsafe | 3.0.3 | indirekt |
| PyPI | mccabe | 0.7.0 | indirekt |
| PyPI | mdit-py-plugins | 0.6.1 | indirekt |
| PyPI | mdurl | 0.1.2 | indirekt |
| PyPI | moto | 5.2.2 | indirekt |
| PyPI | multidict | 6.7.1 | indirekt |
| PyPI | mypy | 1.20.2 | indirekt |
| PyPI | mypy-extensions | 1.1.0 | indirekt |
| PyPI | nested-lookup | 0.2.25 | indirekt |
| PyPI | nodeenv | 1.10.0 | indirekt |
| PyPI | packaging | 25.0 | indirekt |
| PyPI | panther-analysis-tool | 1.7.0 | indirekt |
| PyPI | panther-core | 0.16.2 | indirekt |
| PyPI | panther-detection-helpers | 0.4.0 | indirekt |
| PyPI | pathspec | 1.0.4 | indirekt |
| PyPI | platformdirs | 4.10.0 | indirekt |
| PyPI | pluggy | 1.6.0 | indirekt |
| PyPI | ply | 3.11 | indirekt |
| PyPI | policyuniverse | 1.5.1.20230817 | indirekt |
| PyPI | pre-commit | 4.6.0 | indirekt |
| PyPI | propcache | 0.4.1 | indirekt |
| PyPI | pycountry | 24.6.1 | indirekt |
| PyPI | pycparser | 3.0 | indirekt |
| PyPI | pydantic | 2.12.5 | indirekt |
| PyPI | pydantic-core | 2.41.5 | indirekt |
| PyPI | pygments | 2.19.2 | indirekt |
| PyPI | pylint | 3.3.9 | indirekt |
| PyPI | pytest | 9.0.3 | indirekt |
| PyPI | python-dateutil | 2.9.0.post0 | indirekt |
| PyPI | python-discovery | 1.4.3 | indirekt |
| PyPI | pytokens | 0.4.1 | indirekt |
| PyPI | pyyaml | — | indirekt |
| PyPI | pyyaml | 6.0.3 | indirekt |
| PyPI | referencing | 0.37.0 | indirekt |
| PyPI | regex | 2025.11.3 | indirekt |
| PyPI | requests | 2.33.1 | indirekt |
| PyPI | responses | 0.26.2 | indirekt |
| PyPI | rich | 15.0.0 | indirekt |
| PyPI | rpds-py | 0.30.0 | indirekt |
| PyPI | ruamel-yaml | 0.18.17 | indirekt |
| PyPI | ruamel-yaml-clib | 0.2.15 | indirekt |
| PyPI | s3transfer | 0.16.1 | indirekt |
| PyPI | schema | 0.7.8 | indirekt |
| PyPI | semver | 3.0.4 | indirekt |
| PyPI | setuptools | 80.9.0 | indirekt |
| PyPI | shellingham | 1.5.4 | indirekt |
| PyPI | six | 1.17.0 | indirekt |
| PyPI | sniffio | 1.3.1 | indirekt |
| PyPI | sqlfluff | 4.2.2 | indirekt |
| PyPI | stevedore | 5.9.0 | indirekt |
| PyPI | tblib | 3.2.2 | indirekt |
| PyPI | textual | 6.3.0 | indirekt |
| PyPI | toml | 0.10.2 | indirekt |
| PyPI | tomli | 2.3.1 | indirekt |
| PyPI | tomlkit | 0.15.0 | indirekt |
| PyPI | tqdm | 4.67.3 | indirekt |
| PyPI | tree-sitter | 0.26.0 | indirekt |
| PyPI | tree-sitter-bash | 0.25.1 | indirekt |
| PyPI | tree-sitter-css | 0.25.0 | indirekt |
| PyPI | tree-sitter-go | 0.25.0 | indirekt |
| PyPI | tree-sitter-html | 0.23.2 | indirekt |
| PyPI | tree-sitter-java | 0.23.5 | indirekt |
| PyPI | tree-sitter-javascript | 0.25.0 | indirekt |
| PyPI | tree-sitter-json | 0.24.8 | indirekt |
| PyPI | tree-sitter-markdown | 0.5.1 | indirekt |
| PyPI | tree-sitter-python | 0.25.0 | indirekt |
| PyPI | tree-sitter-regex | 0.25.0 | indirekt |
| PyPI | tree-sitter-rust | 0.23.2 | indirekt |
| PyPI | tree-sitter-sql | 0.3.7 | indirekt |
| PyPI | tree-sitter-toml | 0.7.0 | indirekt |
| PyPI | tree-sitter-xml | 0.7.0 | indirekt |
| PyPI | tree-sitter-yaml | 0.7.2 | indirekt |
| PyPI | typer | 0.20.1 | indirekt |
| PyPI | typer-config | 1.4.3 | indirekt |
| PyPI | typing-extensions | 4.15.0 | indirekt |
| PyPI | typing-inspection | 0.4.2 | indirekt |
| PyPI | uc-micro-py | 2.0.0 | indirekt |
| PyPI | urllib3 | 2.7.0 | indirekt |
| PyPI | virtualenv | 21.6.0 | indirekt |
| PyPI | werkzeug | 3.1.8 | indirekt |
| PyPI | wrapt | 2.0.1 | indirekt |
| PyPI | xmltodict | 1.0.4 | indirekt |
| PyPI | yarl | 1.22.0 | indirekt |
JSON-Rohbericht maschinenlesbar
{
"data": {
"repo": {
"topics": [
"security",
"python",
"cybersecurity",
"siem"
],
"is_fork": false,
"size_kb": 12592,
"has_wiki": false,
"homepage": "https://panther.com/",
"languages": {
"Shell": 1427,
"Python": 1554592,
"Makefile": 6132,
"Dockerfile": 1298
},
"pushed_at": "2026-07-16T07:13:13Z",
"created_at": "2019-10-17T18:47:09Z",
"owner_type": "Organization",
"updated_at": "2026-07-10T03:44:40Z",
"description": "Built-in Panther detection rules and policies",
"is_archived": false,
"is_disabled": false,
"license_spdx": "Apache-2.0",
"default_branch": "develop",
"license_spdx_raw": "Apache-2.0",
"primary_language": "Python",
"significant_languages": [
"Python"
]
},
"owner": {
"blog": "https://panther.com",
"name": "Panther Labs",
"type": "Organization",
"login": "panther-labs",
"company": null,
"location": "San Francisco, CA",
"followers": 112,
"avatar_url": "https://avatars.githubusercontent.com/u/42053323?v=4",
"created_at": "2018-08-03T03:03:28Z",
"is_verified": null,
"public_repos": 25,
"account_age_days": 2908
},
"license": {
"state": "standard",
"spdx_id": "Apache-2.0",
"raw_spdx": "Apache-2.0",
"file_present": true,
"scorecard_found": true,
"profile_has_license": true
},
"activity": {
"releases_count": 100,
"commits_last_year": 397,
"latest_release_at": "2026-07-07T16:31:45Z",
"latest_release_tag": "v3.112.0",
"releases_from_tags": false,
"days_since_last_push": 4,
"active_weeks_last_year": 48,
"days_since_latest_release": 12,
"mean_days_between_releases": 11.7
},
"community": {
"has_readme": true,
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{
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"params": {}
}
],
"max_points": 5
},
{
"key": "pinned_dependencies",
"name": "Pinned-Dependencies",
"detail": "dependency not pinned by hash detected -- score normalized to 4",
"points": 2,
"status": "partial",
"details": [],
"max_points": 5
},
{
"key": "sast",
"name": "SAST",
"detail": "SAST tool is not run on all commits -- score normalized to 9",
"points": 4.5,
"status": "partial",
"details": [],
"max_points": 5
},
{
"key": "security_policy",
"name": "Security-Policy",
"detail": "security policy file detected",
"points": 2,
"status": "partial",
"details": [],
"max_points": 5
},
{
"key": "signed_releases",
"name": "Signed-Releases",
"detail": "5 out of the last 5 releases have a total of 5 signed artifacts.",
"points": 6,
"status": "partial",
"details": [],
"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": "23 existing vulnerabilities detected",
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
}
]
},
{
"key": "high_risk_jurisdiction_exposure",
"band": "excellent",
"name": "High-Risk Jurisdiction Exposure",
"note": "Only high-confidence self-published location evidence affects this multiplier. Ambiguous matches are review-only; country evidence is not proof of nationality, citizenship, legal registration, malicious intent, or sanctions status.",
"notes": [
{
"code": "jurisdiction_evidence_limits",
"params": {}
}
],
"value": 100,
"inputs": {
"meaning": "self-published location evidence; not nationality or citizenship",
"red_flag": false,
"exposures": [],
"policy_countries": [
"Russia",
"Iran",
"North Korea"
],
"review_only_matches": 0,
"assessed_self_published_locations": 4
},
"components": [
{
"key": "policy_exposure_multiplier",
"name": "Policy exposure multiplier",
"detail": "no confirmed policy-scope location match",
"points": 100,
"status": "met",
"details": [
{
"code": "jurisdiction_no_match",
"params": {}
}
],
"max_points": 100
}
]
}
],
"description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
},
{
"key": "ai_readiness",
"band": "moderate",
"name": "AI Readiness",
"value": 65,
"weight": 0,
"metrics": [
{
"key": "ai_agent_context",
"band": "good",
"name": "Agent context & guidance",
"note": "Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"legible_commit_history"
]
}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 75,
"inputs": {
"has_llms_txt": false,
"legible_history_share": null,
"agent_instruction_files": [
"AGENTS.md",
"CLAUDE.md"
],
"agent_instruction_max_bytes": 30842
},
"components": [
{
"key": "agent_instructions",
"name": "Agent instructions",
"detail": "AGENTS.md, CLAUDE.md",
"points": 45,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "AGENTS.md, CLAUDE.md"
}
}
],
"max_points": 45
},
{
"key": "machine_readable_docs_llms_txt",
"name": "Machine-readable docs (llms.txt)",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 15
},
{
"key": "legible_commit_history",
"name": "Legible commit history",
"detail": "no data",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 40
}
]
},
{
"key": "ai_verify_loop",
"band": "good",
"name": "Verify loop (build / test / typecheck)",
"note": "Excluded from scoring (no data or not applicable): Demonstrated agent practice. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"demonstrated_agent_practice"
]
}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 78,
"inputs": {
"has_nix": false,
"has_tests": true,
"lockfiles": [
"Pipfile.lock"
],
"has_dockerfile": true,
"typed_language": false,
"bootstrap_files": [
"Makefile"
],
"has_devcontainer": false,
"has_linter_config": true,
"typecheck_configs": [],
"agent_commit_share": null,
"toolchain_manifests": [],
"dependency_bot_commit_share": 0
},
"components": [
{
"key": "one_command_bootstrap",
"name": "One-command bootstrap",
"detail": "Makefile",
"points": 18,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "Makefile"
}
}
],
"max_points": 18
},
{
"key": "automated_tests",
"name": "Automated tests",
"detail": null,
"points": 22,
"status": "met",
"details": [],
"max_points": 22
},
{
"key": "lint_format_config",
"name": "Lint / format config",
"detail": ".pylintrc",
"points": 11,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": ".pylintrc"
}
}
],
"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": "Dockerfile, lockfile",
"points": 10,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "Dockerfile, lockfile"
}
}
],
"max_points": 10
},
{
"key": "demonstrated_agent_practice",
"name": "Demonstrated agent practice",
"detail": "no data",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 10
},
{
"key": "automated_maintenance",
"name": "Automated maintenance",
"detail": "dependency automation configured, none observed in the sampled commits",
"points": 5,
"status": "partial",
"details": [
{
"code": "dependency_bot_config_only",
"params": {}
}
],
"max_points": 8
},
{
"key": "openssf_scorecard_pinned_dependencies",
"name": "OpenSSF Scorecard: Pinned-Dependencies",
"detail": "dependency not pinned by hash detected -- score normalized to 4",
"points": 4,
"status": "partial",
"details": [],
"max_points": 10
}
]
},
{
"key": "ai_code_legibility",
"band": "moderate",
"name": "Code legibility for models",
"note": null,
"notes": [],
"value": 55,
"inputs": {
"primary_language": "Python",
"largest_source_bytes": 121530,
"source_files_sampled": 1127,
"oversized_source_files": 1
},
"components": [
{
"key": "type_checkable_code",
"name": "Type-checkable code",
"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": "1/1127 source files over 60KB",
"points": 55,
"status": "partial",
"details": [
{
"code": "oversized_source_files",
"params": {
"kb": 60,
"sampled": 1127,
"oversized": 1
}
}
],
"max_points": 55
}
]
},
{
"key": "ai_interfaces",
"band": "critical",
"name": "Machine-readable interfaces",
"note": null,
"notes": [],
"value": 20,
"inputs": {
"example_dirs": [],
"has_mcp_signal": true,
"api_schema_files": []
},
"components": [
{
"key": "api_schema_openapi_graphql_proto",
"name": "API schema (OpenAPI/GraphQL/proto)",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 40
},
{
"key": "mcp_server",
"name": "MCP server",
"detail": null,
"points": 20,
"status": "met",
"details": [],
"max_points": 20
},
{
"key": "runnable_examples",
"name": "Runnable examples",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 40
}
]
}
],
"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": [],
"report_type": "repository",
"generated_at": "2026-07-20T09:22:17.416288Z",
"schema_version": "0.15.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/p/panther-labs/panther-analysis.svg",
"full_name": "panther-labs/panther-analysis",
"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 v0.15.0 — vollständige Methodik · Metriken-Wiki.
Wie ein einzelnes Ergebnis im Gesamtregister steht: aggregierte Statistiken.