Pydantic AI is a typed Python SDK for building AI agents that can use different language models and interfaces, including voice, image generation, and embeddings. Developers use it for applications ranging from structured data extraction to long-running multi-agent work. The catalogue entries provide workflows and configuration for its coding-agent and harness features.
Borrowing it
Nothing to install: this file belongs to pydantic/pydantic-ai. 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/pydantic/pydantic-ai/main/.claude/settings.jsongit clone --depth 1 https://github.com/pydantic/pydantic-aiWrote 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/settings/pydantic/pydantic-ai/settings)<a href="https://agentmods.dev/settings/pydantic/pydantic-ai/settings"><img src="https://agentmods.dev/badge/settings/pydantic/pydantic-ai/settings/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/settings/pydantic/pydantic-ai/settings"><img src="https://agentmods.dev/badge/settings/pydantic/pydantic-ai/settings.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
pydantic-ai 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 1mo 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.
What it actually says
{
"permissions": {
"allow": [
"Bash(rg:*)",
"Bash(ls:*)",
"Bash(tree:*)",
"Bash(grep:*)",
"Bash(git log:*)",
"Bash(git diff:*)",
"Bash(git grep:*)",
"Bash(git show:*)",
"Bash(git status:*)",
"Bash(gh pr view:*)",
"Bash(gh pr checks:*)",
"Bash(gh pr list:*)",
"Bash(gh pr diff:*)",
"Bash(gh issue view:*)",
"Bash(gh issue list:*)",
"Bash(gh run view:*)",
"Bash(gh run list:*)",
"Bash(uv run:*)",
"Bash(uv run pyright *)",
"Bash(PYRIGHT_PYTHON_IGNORE_WARNINGS=1 uv run pyright *)",
"Bash(make:*)"
]
}
}
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.
- 1mo ago First seen · 28 lines scan A c518171f7e9e
pydantic-ai is a settings file published in the GitHub repository pydantic/pydantic-ai (20,771 stars, last pushed today), licensed MIT. Its token cost is not measured: this kind of file is read by the harness, not the model. 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.
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claude-code-best-practice
Agent settings declaring 30 hook events (PreToolUse, PermissionRequest, PostToolUse, PostToolUseFailure) and 24 allowed tools.