pydantic-ai-harness: Skill for Claude Code

.agents/skills/adopt-pr/SKILL.md

adopt-pr is a skill for Claude Code from pydantic/pydantic-ai-harness. It costs 66 tokens per session (1,775 once invoked), scanned A, original, MIT.

A setup skill for taking over an existing pull request, a proposed code change, when its earlier project context is missing or incomplete.

In plain words
What is it for?
Use it when picking up someone else's pull request, or an older one of your own, to create an issue brief and recover decisions from resolved review discussions.
Why use it?
It records the linked issue and important review decisions so work can continue with an understanding of what the pull request is meant to solve.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: reads .claude/ paths; mentions CLAUDE.md; names the AskUserQuestion tool.

This is pydantic/pydantic-ai-harness's own configuration. It tells Claude Code how to work on pydantic-ai-harness itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything pydantic-ai-harness configures →

Reuse

Borrowing it

Nothing to install: this file belongs to pydantic/pydantic-ai-harness. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/pydantic/pydantic-ai-harness/main/.agents/skills/adopt-pr/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/pydantic/pydantic-ai-harness

Made for: Claude Code.

Wrote 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.

agentmods badge for adopt-pr

README.md
[![agentmods](https://agentmods.dev/badge/skills/pydantic/pydantic-ai-harness/adopt-pr/github.svg)](https://agentmods.dev/skills/pydantic/pydantic-ai-harness/adopt-pr)
Your own site
<a href="https://agentmods.dev/skills/pydantic/pydantic-ai-harness/adopt-pr"><img src="https://agentmods.dev/badge/skills/pydantic/pydantic-ai-harness/adopt-pr/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.

agentmods 80×15 button for adopt-pr

Your own site · 80×15
<a href="https://agentmods.dev/skills/pydantic/pydantic-ai-harness/adopt-pr"><img src="https://agentmods.dev/badge/skills/pydantic/pydantic-ai-harness/adopt-pr.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 66 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,775 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00066 $0.01775
Opus 5 $0.00033 $0.00888
Sonnet 5 $0.00013 $0.00355
Haiku 4.5 $0.00007 $0.00178

Measured 13d ago against content hash e708373b60da, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

adopt-pr 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 13d 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.

.agents/skills/adopt-pr/SKILL.md · 179 lines

How it starts

The opening of the file, as written. The whole thing — 179 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Adopt PR -- bootstrap branch-context on an existing PR

Populate issue-brief.md and pr-decisions.md for a worktree whose PR already exists and has history.

When to use

  • You checked out an existing PR and the branch-context files are empty templates (or absent).
  • You are picking up someone else's PR.
  • Your own PR predates the branch-context setup and you want to backfill.

Do not use this for fresh work with no PR yet -- write the brief from the linked issue directly.

Startup

Bootstrapping presumes the linked issue describes a real problem. If you have not confirmed that, skim the issue before adopting -- authorship (a bot, contributor, or automated sweep) is not proof the problem is real.

  1. Read CLAUDE.md for project context.
  2. Instantiate the branch-context instances if they do not exist:
    cd "$(git rev-parse --show-toplevel)"
    D=.claude/skills/branch-context
    [ -f "$D/issue-brief.md" ]   || cp "$D/issue-brief.template.md" "$D/issue-brief.md"
    [ -f "$D/pr-decisions.md" ]  || cp "$D/pr-decisions.template.md" "$D/pr-decisions.md"
    
    If issue-brief.md already has populated issues: frontmatter, ask via AskUserQuestion whether to overwrite the brief, re-seed decisions, both, or neither, before proceeding.

Step 1 -- Resolve the PR

Parse $ARGUMENTS:

  • PR number/URL -> use it directly.
  • Empty -> detect from the current branch:
    PR_NUMBER=$(gh pr view --json number -q .number 2>/dev/null)
    
    If detection fails, ask via AskUserQuestion.

Fetch PR metadata:

gh pr view "$PR_NUMBER" --json number,title,url,state,headRefName,body,closingIssuesReferences,createdAt,author

Step 2 -- Resolve linked issues

Two sources, in order:

  1. closingIssuesReferences from the PR metadata (canonical -- set via the PR sidebar or Fixes #N keywords).
  2. Fallback: grep the PR body for (?:Fixes|Closes|Resolves|Relates to) #\d+ if (1) is empty.

For each linked issue:

gh issue view "<N>" --json number,url,title,state,body,labels,comments

Read the full file on GitHub · 179 lines

Changes

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.

  1. 13d ago First seen · 179 lines · 66 tokens per session scan A e708373b60da

Subscribe to this mod's changes

adopt-pr is a skill published in the GitHub repository pydantic/pydantic-ai-harness (880 stars, last pushed today), licensed MIT. It adds 66 tokens to every session and 1,775 once invoked, about $0.0003 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.

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