skeeper: Skill for Claude Code

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

qa-execution is a skill for Claude Code from compozy/skeeper. It costs 140 tokens per session (2,771 once invoked), scanned A, original, MIT.

A project-wide quality-checking process that tests software as a real user would. It discovers the project's own build, lint, test, startup, command-line, web, and browser checks before running the relevant ones.

In plain words
What is it for?
Use it to verify a repository after changes or before release. It can run the project's required checks, exercise command-line, HTTP, and browser workflows, and save issues, screenshots, and verification reports.
Why use it?
It helps find problems that isolated tests may miss, including broken builds, startup failures, and failures in important end-to-end user journeys. It also checks whether supported critical flows have regression tests.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter. Also seen: installed under .agents/ (shared by several agents); mentions Codex.

This is compozy/skeeper's own configuration. It tells Claude Code how to work on skeeper 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 skeeper configures →

Reuse

Borrowing it

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

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 qa-execution

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/compozy/skeeper/qa-execution"><img src="https://agentmods.dev/badge/skills/compozy/skeeper/qa-execution.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 140 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,771 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. 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 $0.00140 $0.02771
Opus 5.5 $0.00056 $0.01108
Sonnet 5.5 $0.00028 $0.00554
Haiku 4.5 $0.00014 $0.00277

Measured 1mo ago against content hash 606a7ff5443e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

qa-execution scanned grade A with 1 finding 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.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/discover-project-contract.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

5. When the project has a Web UI surface, start the dev server in the background using the discovered start command. Confirm readiness by waiting for the server to respond (e.g., `curl -sf -o /dev/null http://localhost:<
Origin

Copies of this mod

1 near-identical copy found in the catalogue:

.agents/skills/qa-execution/SKILL.md · 111 lines

How it starts

The opening of the file, as written. The whole thing — 111 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Systematic Project QA

Required Inputs

  • qa-output-path (optional): Directory where QA artifacts (issues, screenshots, verification reports) are stored. When provided, create the directory if it does not exist and use it for all QA outputs. When omitted, fall back to repository conventions or /tmp/codex-qa-<slug>.

Procedures

Step 1: Discover the Repository QA Contract

  1. Read root instructions, repository docs, and CI/build files before running commands.
  2. Execute python3 scripts/discover-project-contract.py --root . to surface candidate install, verify, build, test, lint, start commands, Web UI signals, and E2E signals.
  3. Read references/project-signals.md when command ownership is ambiguous or when multiple ecosystems are present.
  4. Read references/e2e-coverage.md to decide whether the repository already supports public-surface automated coverage and how strong that support is.
  5. Prefer repository-defined umbrella commands such as make verify, just verify, or CI entrypoints over language-default commands.
  6. Identify the changed surface and the regression-critical surface before choosing scenarios.
  7. Determine whether the project has a Web UI surface. Indicators include: a start or dev command that launches a web server, framework config files (next.config.*, vite.config.*, nuxt.config.*, angular.json, svelte.config.*), or HTML/template entry points. Record the dev server URL (default http://localhost:3000 unless the project specifies otherwise).
  8. Record the E2E contract in working notes: support detected or not, harness name, canonical command, known spec locations, and blockers.
  9. Resolve the QA artifact directory. If the user provided a qa-output-path argument, use that path. Otherwise, use repository conventions. If neither exists, fall back to /tmp/codex-qa-<slug>. Create the qa/ subdirectory under the resolved path if it does not exist. Store all issues, screenshots, and verification reports under <qa-output-path>/qa/.

Read the full file on GitHub · 111 lines

Files

What ships with it

7 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 · 111 lines · 140 tokens per session scan A 606a7ff5443e

Subscribe to this mod's changes

qa-execution is a skill published in the GitHub repository compozy/skeeper (89 stars, last pushed 4mo ago), licensed MIT. It adds 140 tokens to every session and 2,771 once invoked, about $0.0006 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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