packmind: Skill for Claude Code

.agents/skills/qa-review/SKILL.md

qa-review is a skill for Claude Code, Codex from PackmindHub/packmind. It costs 17 tokens per session (1,772 once invoked), scanned A, original, Apache-2.0.

A review procedure that checks an implemented user story against an Example Mapping specification. Example Mapping is a way to describe a story through rules, examples, and technical constraints, and the procedure produces one report without changing the code.

In plain words
What is it for?
It reads the specification, finds the implementing code, and checks functional coverage and code quality in parallel.
Why use it?
An implementation may omit required behavior or fail to match the agreed examples. This identifies functional gaps and code issues before approval.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents; names the AskUserQuestion tool; installed under .agents/ (shared by several agents).

This is PackmindHub/packmind's own configuration. It tells Claude Code and Codex how to work on packmind 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 packmind configures →

Reuse

Borrowing it

Nothing to install: this file belongs to PackmindHub/packmind. 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/PackmindHub/packmind/main/.agents/skills/qa-review/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/PackmindHub/packmind

Made for: Claude Code, Codex.

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 qa-review

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

agentmods 80×15 button for qa-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/packmindhub/packmind/qa-review"><img src="https://agentmods.dev/badge/skills/packmindhub/packmind/qa-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 17 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,772 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 $0.00017 $0.01772
Opus 5.5 $0.00007 $0.00709
Sonnet 5.5 $0.00003 $0.00354
Haiku 4.5 $0.00002 $0.00177

Measured 1mo ago against content hash bdde4b22e913, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

qa-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.

.agents/skills/qa-review/SKILL.md · 191 lines

How it starts

The opening of the file, as written. The whole thing — 191 lines — stays where its author put it; the contents beside it link to each section on GitHub.

QA Review

Audit a user story implementation against its Example Mapping specification. Reads the EM markdown, finds all implementing code in the codebase, then runs two parallel agents — one for functional coverage, one for code review. Produces a single compact report.

This skill only detects issues — it does not fix them.

Reference

A ready-to-fill EM template is available at em_template.md (in this skill's directory). Share it with the user when they need to write a new spec from scratch.

1. Parse the EM Spec

Read the markdown file at the provided path. Extract a structured summary with these sections:

What to extract

  1. User Story title — the first line or heading describing the US
  2. Rules — each # Rule N: <title> block. For each rule, extract:
    • Rule number and title
    • Each ## Example N with its setup/action/outcome narrative (preserve the full text)
  3. Technical Rules — bullet points under a # Technical rules heading (implementation-focused constraints)
  4. User Events — content under # User Events heading: event names, properties, schemas
  5. Check Also items — bullet points after "Check also" markers (additional rules/constraints, often separated by dashes)
  6. Code References — all backtick-quoted terms across the entire spec (class names, field names, event names like ConflictDetector, space_created, decision)
  7. Domain Keywords — key nouns and verbs from rule titles and examples (e.g., "space", "create", "slug", "rename", "conflict")

Handling ambiguity

If a spec item is ambiguous or explicitly deferred (e.g., "TBD", "on verra plus tard", "later"), flag it in the Parsed Spec Summary but exclude it from coverage assessment. Note it in the report as "Deferred — not assessed."

Compile everything into a Parsed Spec Summary formatted as below. The "Full Examples" section preserves the complete raw text of every example — sub-agents need this full context to accurately assess coverage.

Read the full file on GitHub · 191 lines

Files

What ships with it

4 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. 1mo ago First seen · 191 lines · 17 tokens per session scan A bdde4b22e913

Subscribe to this mod's changes

qa-review is a skill published in the GitHub repository PackmindHub/packmind (319 stars, last pushed 4d ago), licensed Apache-2.0. It adds 17 tokens to every session and 1,772 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 2026-09-22.

Related

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