test-evidence-review

test-evidence-review is a skill for Claude Code from cenconq25/claude-code-app-studio. It costs 58 tokens per session (1,662 once invoked), scanned A, original, MIT.

A review workflow that judges whether test files and manual evidence adequately support each development story. It checks assertions, edge cases, naming, and the completeness of QA evidence rather than merely checking that files exist.

In plain words
What is it for?
Use it to review unit, integration, and end-to-end tests, manual evidence, and smoke reports, then assign each story an adequate, incomplete, or missing verdict.
Why use it?
It catches weak or incomplete testing before QA sign-off. It shows which stories have adequate evidence and which need more work.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: model in frontmatter.

Good fit Use it to review unit, integration, and end-to-end tests, manual evidence, and smoke reports, then assign each story an adequate, incomplete, or missing verdict.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/cenconq25/claude-code-app-studio/test-evidence-review
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 cenconq25/claude-code-app-studio --skill test-evidence-review
Clone the repo
git clone --depth 1 https://github.com/cenconq25/claude-code-app-studio

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 test-evidence-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/cenconq25/claude-code-app-studio/test-evidence-review/github.svg)](https://agentmods.dev/skills/cenconq25/claude-code-app-studio/test-evidence-review)
Your own site
<a href="https://agentmods.dev/skills/cenconq25/claude-code-app-studio/test-evidence-review"><img src="https://agentmods.dev/badge/skills/cenconq25/claude-code-app-studio/test-evidence-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 test-evidence-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/cenconq25/claude-code-app-studio/test-evidence-review"><img src="https://agentmods.dev/badge/skills/cenconq25/claude-code-app-studio/test-evidence-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 58 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,662 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 $0.00058 $0.01662
Opus 5 $0.00029 $0.00831
Sonnet 5 $0.00012 $0.00332
Haiku 4.5 $0.00006 $0.00166

Measured 7d ago against content hash 4b88c8f5e403, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

test-evidence-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 7d 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.

.claude/skills/test-evidence-review/SKILL.md · 208 lines

How it starts

The opening of the file, as written. The whole thing — 208 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Test Evidence Review

A test file existing is not the same as a test file being good. This skill audits each in-scope story's test evidence against a fixed quality bar and emits per-story verdicts.


Purpose / When to Run

Run when:

  • Before a /team-qa sign-off pass
  • After /dev-story lands several stories and a sweep is needed
  • When a sprint is in In Review and QA wants assurance the test evidence holds up
  • On demand for a single story whose evidence is in dispute

Distinct from /smoke-check (runs the suite) and /regression-suite (maps coverage to critical paths) — this skill judges quality of the evidence already produced.

Inputs

  • Story files under production/sprints/ or production/epics/
  • Test files under tests/unit/, tests/integration/, tests/e2e/
  • Manual evidence docs under production/qa/evidence/
  • Smoke reports under production/qa/smoke-*.md

Outputs

  • A printed report keyed by story. Read-only — this skill writes nothing.

Phase 1: Scope Resolution

Parse the argument:

  • sprint-NN — read all stories in production/sprints/sprint-NN/ (or the sprint folder under production/epics/).
  • A story path — review just that story.
  • --all — review every story whose Status is In Review or Complete.

Read each in-scope story file and capture:

  • Story Type
  • Acceptance Criteria
  • Test Evidence path

Phase 2: For Each Story, Run These Checks

Logic stories — automated unit test required

Read the test file. Score:

  • File exists at the declared path.
  • File name matches [module]_[feature]_test.[ext].
  • Each AC has at least one named test function whose name implies the AC.
  • Boundary values from the PRD's Formulas / Limits section are covered.
  • Tests are deterministic — no Math.random() / Random() / DateTime.now() without injection.
  • No real network, file I/O, or database — mocks are used.
  • Each test asserts at least one observable outcome — no empty it() or test() blocks.
  • Test count is reasonable (>= AC count; flag if 3x AC count, may be over-tested).

Read the full file on GitHub · 208 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. 7d ago First seen · 208 lines · 58 tokens per session scan A 4b88c8f5e403

Subscribe to this mod's changes

test-evidence-review is a skill published in the GitHub repository cenconq25/claude-code-app-studio (40 stars, last pushed 4mo ago), licensed MIT. It adds 58 tokens to every session and 1,662 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 2026-09-03.

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