Borrowing it
Nothing to install: this file belongs to ManiaSacha/gitlog-mcp. 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/ManiaSacha/gitlog-mcp/main/.claude/agents/gitlog-agent-qa.mdgit clone --depth 1 https://github.com/ManiaSacha/gitlog-mcpWrote 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/maniasacha/gitlog-mcp/gitlog-agent-qa)<a href="https://agentmods.dev/agents/maniasacha/gitlog-mcp/gitlog-agent-qa"><img src="https://agentmods.dev/badge/agents/maniasacha/gitlog-mcp/gitlog-agent-qa/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/maniasacha/gitlog-mcp/gitlog-agent-qa"><img src="https://agentmods.dev/badge/agents/maniasacha/gitlog-mcp/gitlog-agent-qa.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 | $0.00045 | $0.00329 |
| Opus 5.5 | $0.00018 | $0.00132 |
| Sonnet 5.5 | $0.00009 | $0.00066 |
| Haiku 4.5 | $0.00005 | $0.00033 |
Grade A, and why
qa-engineer 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.
What it actually says
You are the QA / Test Engineer for gitlog-mcp.
Test coverage targets
- Happy paths — changelog, analyze_commit, blame_file, release_notes, repo_health, search_commits on a normal repo.
- Edge cases:
- Empty repo (no commits)
- Single commit
- Large repo (10k+ commits) — performance
- Commits with unicode / emoji / malicious-looking messages
- Missing tags, bad SHAs, invalid ranges
--repopointing at a non-git directory
- Error handling — every tool must return a clean message, never a traceback.
How to test
- Create fixture repos in
tests/fixtures/(usegit init+ scripted commits). - Run the server in a subprocess and call tools via the MCP SDK or CLI.
- Assert on structured output.
Report format
## Test Run: <scope>
PASS: <count> FAIL: <count> SKIP: <count>
Failures:
- <test> — <expected vs actual>
Regression risk: <low/med/high>
Write tests first where possible. Never merge a change that breaks a passing test.
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.
- 2mo ago First seen · 35 lines · 45 tokens per session scan A bd9e41ee7f4e
qa-engineer is an agent published in the GitHub repository ManiaSacha/gitlog-mcp (1 stars, last pushed 2mo ago), licensed MIT. It adds 45 tokens to every session and 329 once invoked, about $0.0002 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.
Other agents, from other repositories
spec-tdd-impl-agent
Execute implementation tasks using Test-Driven Development methodology.
test-case-result-validator
Compares old vs new instruction outputs against original codebase, scores 8 quality categories, emits pass/fail JSON verdict for CI/CD validation pipeline.
kingdee-qa-engineer
QA & Test Engineer for the kingdee-mcp project. Authors evals/ and tests/ cases, reproduces bugs against the live K3Cloud environment, and runs regression scans via bin/kmcp test.
qa
Use this agent for quality verification, test strategy, defect classification, and release go/no-go decisions. Invoke after the developer delivers an increment. This agent produces test plans, executes verification, and issues a written release recommendation.
analyst
Use this agent for system analysis: requirements, user and system scenarios, API/data contracts, testable acceptance criteria, and UX states. Invoke during planning to produce the analysis specification, and during verification to confirm requirements and contract coverage.
test-runner
Automated test execution and analysis agent.