pr-quality-qa

pr-quality-qa is a skill for Claude Code from rjmurillo/ai-agents. It costs 91 tokens per session (1,186 once invoked), scanned A, original, MIT.

A quality-assurance review of your local code changes. It examines test coverage, error handling, and whether the tests would catch a later regression, then reports PASS, WARN, or CRITICAL FAIL.

In plain words
What is it for?
Review a Git diff for missing tests, weak regression checks, and error-handling gaps.
Why use it?
It helps distinguish tests that merely run from tests that would detect broken behavior after a future change.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Part of the project-toolkit plugin — 113 skills, 26 commands, 33 agents, 4 hooks shipped together

Good fit Review a Git diff for missing tests, weak regression checks, and error-handling gaps.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/rjmurillo/ai-agents/pr-quality-qa
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add rjmurillo/ai-agents --skill pr-quality-qa
Clone the repo
git clone --depth 1 https://github.com/rjmurillo/ai-agents

Made for: Claude Code.

Or install project-toolkit, the plugin that ships this one along with the rest of its 113 skills, 26 commands, 33 agents, 4 hooks.

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 pr-quality-qa

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/rjmurillo/ai-agents/pr-quality-qa"><img src="https://agentmods.dev/badge/skills/rjmurillo/ai-agents/pr-quality-qa.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 91 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,186 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00091 $0.01186
Opus 5 $0.00046 $0.00593
Sonnet 5 $0.00018 $0.00237
Haiku 4.5 $0.00009 $0.00119

Measured today against content hash d6a7c5480d6b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

pr-quality-qa 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 today.

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.

.claude/skills/pr-quality-qa/SKILL.md · 102 lines

How it starts

The opening of the file, as written. The whole thing — 102 lines — stays where its author put it; the contents beside it link to each section on GitHub.

PR Quality Gate: QA

Run the qa axis of the quality gate against your working changes, before you push, using the same criteria CI will apply.

Migrated from the pr-quality/qa command under ADR-064, which makes skills the single user-invocable surface and renames the namespaced sub-command pr-quality/qa to pr-quality-qa. The command file is gone, so its path is named here in plain text rather than as a citation to something a reader could open.

Triggers

qa review my changes, run the qa gate, are these tests good enough, pr-quality qa

Arguments

Base branch: $ARGUMENTS

If $ARGUMENTS names a branch, diff against it. Otherwise default to main.

Criteria

Apply the criteria from: @.github/prompts/pr-quality-gate-qa.md

That file is the canonical axis definition and the same one CI loads. Do not paraphrase it from memory: read it, then judge the diff against what it says.

Process

  1. Run git branch --show-current to name the current branch.
  2. Resolve the base branch from $ARGUMENTS, defaulting to main.
  3. Run git diff "<base_branch>" --name-only to list the changed files.
  4. Run git diff "<base_branch>" to read the full diff.
  5. Judge the diff against every criterion in the axis file. Findings are additive: a criterion that fails does not end the pass, because the author needs the whole list in one round rather than one finding per round.
  6. Emit the verdict block, then the JSON block.

What this axis looks for

This axis reads the diff for a new branch with no test, an error path asserted only on a return value, a happy-path-only case, a fixture supplying the precondition the code should establish, and an assertion no input can falsify.

Read the full file on GitHub · 102 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. today First seen · 102 lines · 91 tokens per session scan A d6a7c5480d6b

Subscribe to this mod's changes

pr-quality-qa is a skill published in the GitHub repository rjmurillo/ai-agents (45 stars, last pushed today), licensed MIT. It adds 91 tokens to every session and 1,186 once invoked, about $0.0005 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 2026-09-08.

Related

Other skills, from other repositories