What is ac-qa-gh-pr-review?

A pull-request review workflow that uses one bounded group of review workers, combines their findings, and can submit a review through GitHub after confirmation.

Use it to review a GitHub pull request against its intended changes, save a report, and optionally post the confirmed review.

It provides a repeatable review process while keeping the final report and any GitHub submission under the coordinator's control.

ac-qa-gh-pr-review — Skill for Claude Code by WaterplanAI

Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo

git clone --depth 1 https://github.com/WaterplanAI/agentic-config

agentmods

npx agentmods add skills/waterplanai/agentic-config/ac-qa-gh-pr-review

Made for: Claude Code.

Or install agentic-config, the plugin that ships this one along with the rest of its 49 skills, 1 plugin.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/waterplanai/agentic-config/ac-qa-gh-pr-review/github.svg)](https://agentmods.dev/skills/waterplanai/agentic-config/ac-qa-gh-pr-review)

Your own site

<a href="https://agentmods.dev/skills/waterplanai/agentic-config/ac-qa-gh-pr-review"><img src="https://agentmods.dev/badge/skills/waterplanai/agentic-config/ac-qa-gh-pr-review/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/waterplanai/agentic-config/ac-qa-gh-pr-review"><img src="https://agentmods.dev/badge/skills/waterplanai/agentic-config/ac-qa-gh-pr-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 33 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 3,251 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.

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.

Model	Per session	Once invoked
Fable 5.1	$0.00033	$0.03251
Opus 5.5	$0.00013	$0.01300
Sonnet 5.5	$0.00007	$0.00650
Haiku 4.5	$0.00003	$0.00325

Measured 1mo ago against content hash 1b75646c4696, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ac-qa-gh-pr-review 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.

packages/pi-ac-qa/skills/ac-qa-gh-pr-review/SKILL.md · 411 lines

How it starts

The opening of the file, as written. The whole thing — 411 lines — stays where its author put it; the contents beside it link to each section on GitHub.

PR Review - pi adaptation

Review a pull request with a bounded shared worker-wave on top of the shipped @agentic-config/pi-compat orchestration helpers.

Current shipped boundary

This pi wrapper now ships, but it stays inside the bounded IT003 contract:

use exactly one fixed review-worker wave through subagent
use the shared pi-compat worker protocol and result helpers for worker outputs
keep PR metadata fetch, final markdown synthesis, and any gh pr review action in the coordinator skill
keep review posting user-confirmed and serial through AskUserQuestion
do not introduce nested workers, subagent.chain, mux/session state, or package-local orchestration helpers
if the local checkout does not match the PR head, continue honestly in diff-first mode and report any execution limitation instead of pretending local commands validated the PR head

Arguments

pr_ref (required): PR URL, owner/repo#123, or any gh pr view-compatible PR reference
expected_changes (optional): brief description of the intended change; if omitted, compare the diff against the PR title/body only
report_path (optional): explicit final report path; default to tmp/gh-pr-review/<date>-<uuid>/PR-<number>-<uuid>.md

Required references

Read these when needed:

node_modules/@agentic-config/pi-compat/assets/orchestration/protocol/worker.md
node_modules/@agentic-config/pi-compat/assets/orchestration/tools/write-result.js
node_modules/@agentic-config/pi-compat/assets/orchestration/tools/summarize-results.js

Pre-flight

Verify gh CLI is available and authenticated:
```
gh --version
gh auth status
```
- If either step fails: STOP and explain what is missing.
Verify the current directory is inside the repo being reviewed:
```
REPO_ROOT=$(git rev-parse --show-toplevel)
```
- If this fails: STOP. This skill needs a local repo so the workers can inspect the actual codebase and run bounded local validation when that is honest.

Read the full file on GitHub · 411 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.

1mo ago First seen · 411 lines · 33 tokens per session scan A 1b75646c4696

Subscribe to this mod's changes

ac-qa-gh-pr-review is a skill published in the GitHub repository WaterplanAI/agentic-config (31 stars, last pushed 3mo ago), licensed MIT. It adds 33 tokens to every session and 3,251 once invoked, about $0.0001 per session on Opus 5.5. 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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ac-qa-gh-pr-review