qamap-pr-qa

qamap-pr-qa is a skill for Claude Code, Codex from IvoryCanvas/QAMap. It costs 67 tokens per session (2,671 once invoked), scanned A, original, MIT.

A local pull-request quality check that compares your changes with the target branch and turns them into test scenarios, validation commands, and supporting evidence.

In plain words
What is it for?
Use it when preparing, updating, or reviewing a pull request. It helps define QA scenarios, choose validation commands, collect evidence, and repair related project metadata.
Why use it?
It helps catch missing tests and unclear change coverage before someone reviews the pull request. It also records which behavior changed and how that behavior was checked.

Skill for Claude CodeCodex

Written for Claude Code and Codex: shipped in a Claude Code plugin, but also agents/openai.yaml present.

Part of the qamap plugin — 1 skill shipped together

Good fit Use it when preparing, updating, or reviewing a pull request. It helps define QA scenarios, choose validation commands, collect evidence, and repair related project metadata.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ivorycanvas/qamap/qamap-pr-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 IvoryCanvas/QAMap --skill qamap-pr-qa
Clone the repo
git clone --depth 1 https://github.com/IvoryCanvas/QAMap

Made for: Claude Code, Codex.

Or install qamap, the plugin that ships this one along with the rest of its 1 skill.

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 qamap-pr-qa

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/ivorycanvas/qamap/qamap-pr-qa"><img src="https://agentmods.dev/badge/skills/ivorycanvas/qamap/qamap-pr-qa.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 67 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,671 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 warn 7 Sept 2026
SkillSpector: 1 finding, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high System Prompt Leakage · line 90
    Skill contains instructions that could directly expose system prompts, internal rules, or hidden instructions to users or external parties.
    Fix: Remove any instructions that reveal, print, or output system prompts or internal rules. System instructions should never be exposed to end users.
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 $0.00067 $0.02671
Opus 5 $0.00034 $0.01336
Sonnet 5 $0.00013 $0.00534
Haiku 4.5 $0.00007 $0.00267

Measured 2d ago against content hash 944f2cb6fd58, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

qamap-pr-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 2d 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.

skills/qamap-pr-qa/SKILL.md · 134 lines

How it starts

The opening of the file, as written. The whole thing — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.

QAMap PR QA

Use QAMap as a final local QA pass before presenting a pull request for human review.

Workflow

  1. Detect the comparison base.

    • Prefer the target PR base branch when known.
    • Otherwise use origin/main, then origin/master, then the repository default branch.
  2. Run QAMap from the repository root. Prefer an already installed local binary:

    pnpm exec qamap qa . --base <base> --head HEAD --format agent
    

    If QAMap is not installed, disclose that the next command downloads the pinned package from the npm registry and follow the host's network approval policy before running it:

    npm exec --yes --registry=https://registry.npmjs.org --package=@ivorycanvas/[email protected] -- qamap qa . --base <base> --head HEAD --format agent
    

    This one-off form runs outside the target repository's package-manager contract, so it does not invoke Corepack or add a packageManager field. QAMap's analysis does not upload source code or make another LLM call. The calling agent still uses its own model tokens to invoke the skill and interpret the compact result.

    Prefer the compact agent format because it carries the decision contract in a fraction of the tokens. Drop --format agent for concise human-readable text, or use --format markdown for the full trace report. The agent JSON is a versioned contract (schema: qamap.qa v1, additive-only): see docs/agent-format.md in the QAMap repository.

  3. Read analysisScope before interpreting package-relative evidence or commands.

    • Read commandCwd as the command working-directory contract. workspace-root means run the command from the repository root; selected-package means run it from selectedPath. Older v1 payloads may omit the field; default to the workspace root instead of guessing.
    • automatic-package means the root command already reran analysis with the selected package's routes, scripts, fixtures, and runner settings. Its commands include the package path and use commandCwd: "workspace-root"; use the workspace-aware automation.draftCommand as printed.
    • explicit-package keeps package-local commands and uses commandCwd: "selected-package" with selectedPath.
    • repository-root means QAMap could not safely select one package. Review candidates and reason; do not silently choose a package for a cross-package or root-spanning change.
    • Use an explicit scoped pass only when a human wants to override that decision:

Read the full file on GitHub · 134 lines

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 2d ago Changed · +3 lines 944f2cb6fd58
  2. 5d ago Changed b1c6cc536cd8
  3. 11d ago First seen · 131 lines · 67 tokens per session scan A a323047bcb72

Subscribe to this mod's changes

qamap-pr-qa is a skill published in the GitHub repository IvoryCanvas/QAMap (22 stars, last pushed yesterday), licensed MIT. It adds 67 tokens to every session and 2,671 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.