Borrowing it
Nothing to install: this file belongs to DougTrajano/pydantic-ai-skills. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/DougTrajano/pydantic-ai-skills/main/AGENTS.mdgit clone --depth 1 https://github.com/DougTrajano/pydantic-ai-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/dougtrajano/pydantic-ai-skills/agents-md)<a href="https://agentmods.dev/instructions/dougtrajano/pydantic-ai-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/dougtrajano/pydantic-ai-skills/agents-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/dougtrajano/pydantic-ai-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/dougtrajano/pydantic-ai-skills/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.01979 | $0.01979 |
| Opus 5 | $0.00989 | $0.00989 |
| Sonnet 5 | $0.00396 | $0.00396 |
| Haiku 4.5 | $0.00198 | $0.00198 |
Grade A, and why
pydantic-ai-skills AGENTS.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 94 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
pydantic-ai-skills adds remote skill registries and bundled-file execution to Pydantic AI Agent Skills. It builds on pydantic-ai-harness, which owns SKILL.md discovery, validation and instruction rendering.
This file provides guidance to coding agents (Claude Code, etc.) when working with code in this repository. CLAUDE.md is a symlink to this file — edit this one.
Scope
Python library (>=3.10) that complements harness's Skills capability rather than reimplementing it. What this package owns: Git/S3 registries and their composition, the bundled references//scripts/ layer, sandboxed script execution, ${SKILL_DIR} resolution, and skills defined in Python.
If a change would duplicate something harness already does, it belongs upstream, not here.
Keep this file to agent-critical defaults. Task-specific detail belongs in docs/ (see Link, Don't Duplicate).
Commands
pip install -e ".[test,git,s3,dev]" # full dev install
pytest # all tests (coverage is on by default via pytest.ini)
pytest tests/test_capability.py -v # one file
pytest tests/test_capability.py::test_name -v # one test
pytest -m "not slow" # skip slow markers
pre-commit run --all-files # what CI's lint job runs: ruff + ruff-format + mypy
ruff check pydantic_ai_skills/ && ruff format pydantic_ai_skills/
mkdocs serve # docs, needs pip install -e ".[docs]"
pytest.ini sets asyncio_mode = auto — do not add @pytest.mark.asyncio.
Architecture
Layers, in dependency order:
| Module | Role |
|---|---|
| types.py | Skill, SkillResource, SkillScript, SkillWrapper, the @skill decorator; name normalization |
| _parsing.py | Minimal frontmatter reading — only what runs before harness sees a library |
| packages.py | index_libraries, SkillPackage — the bundled-file index |
| local.py | Script execution via AnyIO subprocess; file-backed resources/scripts |
| registries/ | SkillRegistry ABC + Git/S3/Local sources + composition wrappers (filtered/prefixed/renamed/combined) |
| _toolset.py | SkillFilesToolset — the two model-facing tools |
| capability.py | SkillsCapability — the composite over harness's Skills |
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 4d ago Changed · +10 lines · +515 tokens per session 2048cb7e84db
- 11d ago First seen · 84 lines · 1,464 tokens per session scan A 5eb5bf856918
pydantic-ai-skills AGENTS.md is an instructions file published in the GitHub repository DougTrajano/pydantic-ai-skills (369 stars, last pushed 3d ago), licensed MIT. It adds 1,979 tokens to every session, about $0.0099 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other instructions, from other repositories
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.