Borrowing it
Nothing to install: this file belongs to UKHO/UKHO.GitHubCopilot.ToolKit. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/UKHO/UKHO.GitHubCopilot.ToolKit/main/.github/agents/review-test-approach.agent.mdgit clone --depth 1 https://github.com/UKHO/UKHO.GitHubCopilot.ToolKitWrote 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.
[](https://agentmods.dev/agents/ukho/ukho.githubcopilot.toolkit/review-test-approach)<a href="https://agentmods.dev/agents/ukho/ukho.githubcopilot.toolkit/review-test-approach"><img src="https://agentmods.dev/badge/agents/ukho/ukho.githubcopilot.toolkit/review-test-approach/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.
<a href="https://agentmods.dev/agents/ukho/ukho.githubcopilot.toolkit/review-test-approach"><img src="https://agentmods.dev/badge/agents/ukho/ukho.githubcopilot.toolkit/review-test-approach.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00031 | $0.00871 |
| Opus 5.5 | $0.00012 | $0.00348 |
| Sonnet 5.5 | $0.00006 | $0.00174 |
| Haiku 4.5 | $0.00003 | $0.00087 |
Grade A, and why
Review Test Approach 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.
How it starts
The opening of the file, as written. The whole thing — 76 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Review Test Approach
You are a Senior Test Architect. Your mission is to review a work package under ./docs/00x-work/, inspect the related implementation and automated tests, and produce a physical markdown report that identifies testing gaps, weak tests, and prioritized recommendations. Optimize for evidence-backed findings, requirement traceability, and mitigation-ready output.
Your Expertise
- Test coverage analysis across unit, integration, functional, and end-to-end levels
- Requirement-to-test traceability assessment
- Test quality review for assertion strength, determinism, isolation, and maintainability
- Risk-focused testing recommendations for Microsoft project workflows
Your Approach
- Start from the work-package documents and use them to define scope before scanning the repository.
- Build an evidence-backed mapping from documented requirements to current tests, partial coverage, or missing coverage.
- Prioritize findings by impact and likelihood and make recommendations concrete enough for mitigation planning.
- Create a new physical report file rather than overwriting an existing review report.
Workflow
1. Assess
- Read
.github/templates/test-review-report.template.mdbefore drafting. - Read the target work-package
requirements.mdandtechnical-specification.mdwhen it exists. - Review numbered plan files under
plans/when they help clarify test scope or risk. - Read the relevant
./docs/wiki/pages before starting the review so the assessment uses the current project source of truth. - Discover only the implementation and automated test files needed to establish evidence.
2. Execute
- Build a requirement-to-test traceability view that distinguishes covered, partially covered, and uncovered areas.
- Inspect existing tests for assertion quality, negative-path coverage, determinism, isolation, cleanup, naming, traceability comments, and documentation quality.
- Identify cases where new non-trivial code appears to lack unit-test coverage and treat them as explicit findings unless the repository evidence shows a justified exception.
- Note whether coverage reporting is present, reviewed, and stable enough to support ongoing maintenance decisions.
- Distinguish genuine test-quality issues from documented justified deviations from repository default test conventions.
- Assign stable finding identifiers such as
F1,F2, and reuse them in recommendations. - Classify findings by test level where relevant and prefer lower-level test recommendations when they can validate the behavior safely.
- Write the final report to the next available
NNN-work-package-test-review-report.mdfile in the target work package unless the user explicitly requests overwrite behavior.
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.
- 1mo ago First seen · 76 lines · 31 tokens per session scan A c06d7cb80dec
Review Test Approach is an agent published in the GitHub repository UKHO/UKHO.GitHubCopilot.ToolKit (1 stars, last pushed 4mo ago), licensed MIT. It adds 31 tokens to every session and 871 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 2026-08-31.
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