agentmods.dev

qa-eval

qa-eval is a skill for Codex from ashermahonin/agentic-skills. It costs 80 tokens per session (417 once invoked), scanned A, original, MIT.

A guide for planning and running software checks across areas such as unit tests, browser tests, security, performance, accessibility, migrations, and release smoke tests. It connects each acceptance requirement to a way of verifying it.

In plain words
What is it for?
Use it before merging or releasing changes, after implementation, when test evidence is missing, or when you need a practical verification plan tied to acceptance criteria.
Why use it?
It helps teams test the risks that matter without relying on an arbitrary checklist. It also records what was tested, what passed or failed, and what could not be verified.

Skill for Codex

Written for Codex: agents/openai.yaml present.

not rated 10repo 2mo ago A scan 80 tokens original MIT

Good fit Use it before merging or releasing changes, after implementation, when test evidence is missing, or when you need a practical verification plan tied to acceptance criteria.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ashermahonin/agentic-skills/qa-eval
View source ↗ ashermahonin/agentic-skills
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 ashermahonin/agentic-skills --skill qa-eval
Clone the repo
git clone --depth 1 https://github.com/ashermahonin/agentic-skills

Made for: 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-eval

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/ashermahonin/agentic-skills/qa-eval"><img src="https://agentmods.dev/badge/skills/ashermahonin/agentic-skills/qa-eval.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 80 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 417 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 $0.00080 $0.00417
Opus 5.5 $0.00032 $0.00167
Sonnet 5.5 $0.00016 $0.00083
Haiku 4.5 $0.00008 $0.00042

Measured 2mo ago against content hash 447865a7ff7c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

qa-eval 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 2mo 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.

agentic/skills/qa-eval/SKILL.md · 54 lines

What it actually says

QA and Eval

Purpose

Prove the important behavior works and the important risks are covered. Make verification practical, visible, and tied to acceptance criteria.

Change context

  • Collect requirements, acceptance criteria, changed files, and risk notes.
  • Identify the minimum test set that covers the behavior and highest risks.
  • Separate automated checks from manual smoke checks.
  • Decide what cannot be verified in this environment and how to report it honestly.

Change method

  1. Map each acceptance criterion to a validation method.
  2. Run existing tests before inventing new ones when that gives useful signal.
  3. Add focused tests when behavior changed and no existing test covers it.
  4. For UI work, verify real rendering and main workflows when possible.
  5. For migrations or data changes, verify rollback or safe failure behavior.
  6. Summarize pass/fail evidence with commands, scenarios, and residual risk.

Engineering constraints

  • Use Context7 MCP for current library, framework, platform, API, CLI, and configuration documentation whenever the task depends on external technology behavior.

Evidence

  • Validation plan
  • Commands run
  • Acceptance evidence
  • Bugs or regressions found
  • Release readiness recommendation

Ready when

  • Do not treat compilation as full QA.
  • Do not hide skipped checks.
  • Tie every critical risk to a test, smoke check, or explicit residual risk.
  • Keep bug reports reproducible.

Handoff

Hand off evidence, failures, skipped checks, and release recommendation to PR review or release docs.

References

  • references/eval-plan.md: Use this for test and eval planning.
Files

What ships with it

2 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. 2mo ago First seen · 54 lines · 80 tokens per session scan A 447865a7ff7c

Subscribe to this mod's changes

qa-eval is a skill published in the GitHub repository ashermahonin/agentic-skills (10 stars, last pushed 2mo ago), licensed MIT. It adds 80 tokens to every session and 417 once invoked, about $0.0003 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 2026-08-31.

Testing
Related

qa-eval compared with skills from other repositories

qa-eval next to 6 skills from other repositories
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