This package implements Agent Skills (https://agentskills.io) support with progressive disclosure for Pydantic AI. Supports filesystem and programmatic skills.
DougTrajano/pydantic-ai-skills holds a health index of 72 out of 100, placing it in the Good band. It scores highest on Engineering Quality (96/100) and lowest on Security (38/100). It was last updated today. A single contributor accounts for most of its recent work.
72
overall / 100
Good
Software health index
Metrics are grouped into weighted categories on one standardized 1–100 scale. Overall starts as their weighted mean; when public evidence triggers the High-Risk Jurisdiction Policy, the rating is adjusted and receives an At risk ceiling of 49. AI Readiness sits outside the overall score.
72
Excellent85-100Exemplary; meets essentially all checked criteria
Good70-84Healthy; minor gaps
Moderate50-69Acceptable with notable gaps; review recommended
At risk30-49Significant weaknesses; adoption warrants caution
Critical1-29Severe problems (abandoned, single-maintainer, no hygiene)
Score profile
Each axis is a category. The shape matters more than the average — a healthy subject fills the whole shape, while a spike-and-crater profile means strength in one dimension is masking risk in another.
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.
Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository
deps.dev does not index pypi:pydantic-ai-skills@1.3.0; advisories assessed against the repository dependency graph instead
More detail
Star and fork history 0 ★ / 28 ⇿
0Stars
28Forks
16Releases
When each star and fork was added, collected from GitHub and bucketed by day. Cumulative growth sits directly above the daily additions it is made of, so the two read against each other: steady organic accretion looks nothing like an abrupt, short-lived burst. Where that difference is measurable, it is reported as growth authenticity.
Major 1Minor 12Patch 3
OpenSSF Scorecard 3.8 / 10
3.8aggregate
Independent, tool-agnostic security assessment from the open-source OpenSSF Scorecard. Each check rewards a security practice, not a specific vendor's tool. Checks Scorecard could not determine are marked n/a and excluded from the security score (never counted as zero).Scorecard v5.5.0 · 2026-07-25 22:39 UTC
The resolved dependency set could not be collected for this report: GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository
Raw JSON report machine-readable
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"headline": "Merge pull request #53 from DougTrajano/DEV-1216-support-agent-specs-…",
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"body": "- Use dataclasses.is_dataclass() instead of the brittle __dataclass_fields__\n attribute check.\n- Assert the loaded agent actually exposes a SkillsCapability with its\n toolset, matching the test's docstring.\n\nCo-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>",
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"body": "SkillsCapability extended AbstractCapability but could not be used in\ndeclarative agent specs (Agent.from_spec / Agent.from_file with\ncustom_capability_types). The pydantic-ai spec loader rejects any custom\ncapability type that is not a @dataclass, so registry construction failed\nbefore serializatio\n[…]\ndd spec-support tests (registry build, from_spec round-trip, full\n Agent.from_spec load, schema generation) and an \"Agent specs\" docs section.\n\nCo-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>",
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"headline": "Merge pull request #52 from DougTrajano/DEV-1215-adopt-pydantic-ai-v2…",
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"body": "Addresses Copilot review on PR #52: the SkillResource example used\ncontent=None and the SkillScript example omitted function/uri, both of\nwhich fail __post_init__ validation. Use a content-based resource and a\nfile-based (uri) script so the snippets run as written.\n\nCo-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>",
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"body": "- Add defer_loading/id/description to SkillsCapability, validate id when\n deferred, and summarize skills via get_description()\n- Replace private pydantic_ai._run_context.RunContext with public\n pydantic_ai.RunContext; add compat smoke test for remaining internals\n- Fix non-existent pydantic_ai.too\n[…]\n source docstrings and docs\n- Raise dependency floor to pydantic-ai-slim>=1.105\n- Test CI matrix against pydantic-ai 1.105.0, 2.0.0, and latest\n\nCo-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>",
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"headline": "feat: adopt Pydantic AI v2 capabilities API [DEV-1215]",
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"headline": "Merge pull request #50 from DougTrajano/DEV-1212",
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"body": "Document how to intercept skill loading (before/after) using Pydantic AI's\ntool-execution hooks. Skill loading is a regular `load_skill` tool call, so\nthe standard `before_tool_execute` / `after_tool_execute` hooks fire around\nit when filtered with `tools=['load_skill']`.\n\nCovers SkillsCapability an\n[…]\ncking loads via\nSkipToolExecution, rewriting loaded instructions, and the full tool-execution\nhook family. Adds the page to the User Guide nav.\n\nCo-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>",
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"body": "feat: add S3SkillsRegistry for S3 and S3-compatible storage (DEV-1208)",
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"headline": "Merge pull request #48 from DougTrajano/DEV-1208-s3-skills-registry",
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"body": "coverage.xml recorded an absolute <source> (the package dir) with filenames\nrelative to it (e.g. registries/s3.py), so SonarCloud could not map coverage\nonto the indexed sources and reported 0% on new code. Set relative_files=true\nso paths resolve as pydantic_ai_skills/registries/s3.py from the repo root.\n\nCo-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>",
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"headline": "fix: emit repo-root-relative coverage paths for SonarCloud",
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"body": "Code review (Copilot) fixes on S3SkillsRegistry:\n- _sync now mirrors the remote prefix (clears the cached subtree first), so\n skills removed from the bucket no longer linger locally\n- list S3 objects once per sync and compute per-skill version from the cached\n listing instead of re-listing per ski\n[…]\nran with no report. Checkout first, then download\nartifacts into the workspace.\n\nAdd tests for stale-cache mirroring and client error wrapping.\n\nCo-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>",
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"headline": "refactor: address S3 registry review and fix Sonar coverage pipeline",
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"body": "Introduce an S3-backed skills registry (DEV-1208) mirroring\nGitSkillsRegistry. It downloads objects under a bucket/prefix into a\nlocal cache and reuses discover_skills() to parse SKILL.md files.\n\nConnection details (credentials, endpoint_url, region, path-style\naddressing) are supplied via a caller-\n[…]\n-escape protection on download/copy\n- Metadata enrichment: source_url, registry, bucket, prefix, version\n- Tests and docs (incl. MinIO example)\n\nCo-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>",
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"headline": "feat: add S3SkillsRegistry for S3 and S3-compatible storage",
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"headline": "Merge pull request #46 from MateEggDeHome/feat/coerce-json-args",
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"headline": "Apply suggestion from @DougTrajano",
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"body": "Simplify the coerce logic by removing the explicit dict/None early\nreturn — non-string values now fall through to a single return v.\nAdd 4 integration tests covering JSON string coercion, dict pass-\nthrough, None acceptance, and non-object rejection via the Pydantic\nvalidator.",
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"body": "LLMs sometimes return nested dict args as JSON strings instead of objects.\nAdd `_coerce_to_dict` helper using `Annotated[..., BeforeValidator(...)]`\non the `args` parameter to automatically parse strings to dicts at\nvalidation time.",
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"headline": "feat: coerce JSON string args to dict in run_skill_script",
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"body": "feat(DEV-1194): replace SkillException hierarchy with ModelRetry + stdlib exceptions",
"is_bot": false,
"headline": "Merge pull request #44 from DougTrajano/DEV-1194",
"author_name": "Douglas Trajano",
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"headline": "feat: update uv",
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"body": "- combined.py: use synchronous get_skills() membership check instead of\n catching KeyError, so unrelated KeyErrors from a child registry's\n internal logic are no longer swallowed.\n- local.py: stop wrapping OSError when reading file-based resources —\n the original subclass (FileNotFoundError, Perm\n[…]\nall import statements to use\n pydantic_ai_skills (the actual public package) instead of the\n non-existent pydantic_ai.toolsets.skills module.\n\nCo-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>",
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"headline": "fix: address Copilot review feedback",
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"body": "…d S5713)\n\nFileNotFoundError is a subclass of OSError, so listing both is redundant.\n\nCo-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>",
"is_bot": false,
"headline": "fix: remove redundant FileNotFoundError from except clause (SonarClou…",
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"oid": "1653a8dd302393e7d462c463153b6f41e24250ad",
"body": "…tions\n\nTools registered by SkillsToolset now raise pydantic_ai.ModelRetry on\nunknown skill / resource / script names so the LLM can self-correct\nwithin the configured retry budget. Outside tool execution, exceptions\nare stdlib types (KeyError, ValueError, FileNotFoundError, OSError,\nRuntimeError, T\n[…]\nError, SkillValidationError\nfrom the public API. Catch the corresponding stdlib exceptions\ninstead (see docs/patterns.md for the full mapping).\n\nCo-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>",
"is_bot": false,
"headline": "feat: replace SkillException hierarchy with ModelRetry + stdlib excep…",
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"headline": "chore: bump version to 0.9.0",
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"body": "DEV-1193: add Skill.from_file() classmethod",
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"headline": "Merge pull request #42 from DougTrajano/DEV-1193",
"author_name": "Douglas Trajano",
"author_login": "DougTrajano",
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"oid": "da6438366a74c40bb119bb8dda0ab25f1f0c0a18",
"body": "types.py / Skill.from_file():\n- Use exact 'SKILL.md' match (not .upper()) so mixed-case like skill.md\n is consistently rejected on case-sensitive filesystems\n- Coerce name before the empty-string check so YAML scalars like\n `name: 0` or `name: false` load as '0'/'False' instead of falling\n back t\n[…]\nnings\n\ntests/test_types.py:\n- Add assert that the discovered FileBasedSkillScript carries the\n exact executor instance passed to from_file()\n\nCo-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>",
"is_bot": false,
"headline": "Address second Copilot review round",
"author_name": "Douglas Trajano",
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"oid": "b05d3607fd87c2530d4bc3d9eee0b0d18bb546e6",
"body": "…776)\n\nExtract name-format checks into _validate_name_format() helper, removing\nthe three levels of nesting that pushed the function from 19 to 15+.\nComplexity drops from 19 to ~7 in the public function.\n\nCo-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>",
"is_bot": false,
"headline": "Reduce cognitive complexity of validate_skill_metadata (SonarCloud S3…",
"author_name": "Douglas Trajano",
"author_login": "DougTrajano",
"committed_at": "2026-05-03T01:49:02Z",
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"oid": "28a080a80bc609803833b218d8b015997baa7db9",
"body": "_parsing.py:\n- Validate yaml.safe_load() returns a dict; raise SkillValidationError\n for non-mapping frontmatter (list, scalar, etc.)\n- Coerce name/description/compatibility to str before len()/pattern\n checks to avoid TypeError on int/float YAML values\n- Warn when description is absent (it is doc\n[…]\nd (YAML int coercion)\n- Add test_skills_directory_missing_name_with/without_validation\n (regression coverage for SkillsDirectory delegation)\n\nCo-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>",
"is_bot": false,
"headline": "Address Copilot review: robustness fixes for Skill.from_file()",
"author_name": "Douglas Trajano",
"author_login": "DougTrajano",
"committed_at": "2026-05-03T01:45:38Z",
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"oid": "cb3aecdbeac145970eaaa233d5d29e53c9ad55a3",
"body": "Replace the backtracking regex in parse_skill_md with a linear\nline-by-line scan to eliminate the polynomial-runtime risk flagged\nby SonarCloud (security hotspot).\n\nAlso document Skill.from_file() in docs/api/types.md (Methods table)\nand docs/creating-skills.md (new \"Loading a Single Skill\" section).\n\nCo-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>",
"is_bot": false,
"headline": "Fix ReDoS risk in parse_skill_md; update docs for Skill.from_file()",
"author_name": "Douglas Trajano",
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"committed_at": "2026-05-03T01:36:50Z",
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"oid": "98a00a87809819c475e3b9ca2505f49c3f7b6bc4",
"body": "Extract pure parsing/validation helpers into _parsing.py to break the\ncircular-import chain, then expose Skill.from_file() as the canonical\nsingle-skill loader. The private _load_skill_from_file() in directory.py\nis removed; discover_skills() now delegates to Skill.from_file().\n\nWith validate=True a missing name field now raises SkillValidationError\ninstead of silently returning None, making the behaviour consistent.\n\nCo-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>",
"is_bot": false,
"headline": "DEV-1193: add Skill.from_file() classmethod",
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"body": "DEV-1192: drop pre-1.74 pydantic-ai compatibility shims",
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"headline": "Merge pull request #41 from DougTrajano/DEV-1192",
"author_name": "Douglas Trajano",
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Scores are signals, not warranties. They reflect publicly visible practices on GitHub — not a code audit, and not a security guarantee.
Missing data is excluded and weights renormalized, never scored as zero. Methodology is versioned and open: metrics v1.13.0, schema v0.27.0 — full methodology · metrics wiki.
