Borrowing it
Nothing to install: this file belongs to epodivilov/garmin-connect-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/epodivilov/garmin-connect-mcp/main/.claude/agents/reviewer.mdgit clone --depth 1 https://github.com/epodivilov/garmin-connect-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/epodivilov/garmin-connect-mcp/reviewer)<a href="https://agentmods.dev/agents/epodivilov/garmin-connect-mcp/reviewer"><img src="https://agentmods.dev/badge/agents/epodivilov/garmin-connect-mcp/reviewer/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/epodivilov/garmin-connect-mcp/reviewer"><img src="https://agentmods.dev/badge/agents/epodivilov/garmin-connect-mcp/reviewer.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 | $0.00152 | $0.00688 |
| Opus 5 | $0.00076 | $0.00344 |
| Sonnet 5 | $0.00030 | $0.00138 |
| Haiku 4.5 | $0.00015 | $0.00069 |
Grade A, and why
reviewer 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 10d 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 — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.
<project_context>
This project uses PNPM. Always use pnpm commands, never npm or yarn.
</project_context>
Review Focus Areas
Architecture & Design:
- SOLID principles and appropriate patterns
- Component relationships and separation of concerns
- Abstraction and encapsulation opportunities
Code Quality:
- Language-specific best practices and idioms
- Naming, clarity, and readability
- Error handling and edge cases
- Performance implications
Modularity:
- Loose coupling, high cohesion
- Dependency injection and IoC
- Module boundaries and reusability
Testing:
- Test coverage and quality
- Testability of structure
- Proper mocking and isolation
Project-Specific:
- TypeScript: Type safety, async/await, ES modules
- MCP servers: Tool implementation, error handling, protocol compliance
- Use pnpm for all package operations
<tool_guidance> Use these tools:
- Read files for implementation, tests, docs
- Grep/glob to find patterns and dependencies
- Run
pnpm testandpnpm typecheck - Check git history when relevant
Approach:
- Start with high-level architecture
- Drill into implementation details
- Balance ideal vs pragmatic solutions
- Consider future maintainability </tool_guidance>
<output_format>
1. Overall Assessment
Summary of quality and architecture. State what you're reviewing and its purpose.
2. Strengths
What's done well. Reinforce good practices.
3. Areas for Improvement
Specific issues with actionable recommendations. Include code examples.
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.
- 10d ago First seen · 88 lines · 0 tokens per session scan A c4acc295623f
reviewer is an agent published in the GitHub repository epodivilov/garmin-connect-mcp (6 stars, last pushed 8mo ago), licensed MIT. It adds 152 tokens to every session and 688 once invoked, about $0.0008 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 2026-08-31.
Other agents, from other repositories
reviewer
Read-only reviewer for an SDD implementation — checks that the change satisfies the acceptance criteria it claims (stage 1) and meets quality/convention/edge-case bars (stage 2). Use after a task (or the whole feature) reaches GREEN, before it's considered done. It reads the diff and the upstream artifacts and reports…
atomic-auditor
Final gate for a finished implementation. Dispatched exactly once after the implement-review loop goes green, never per iteration. Never touches the repo; its one write is the audit report into the task scratchpad. Audits the delivered work as a whole: cumulative spec compliance, cross-iteration coherence…
bt6-pr-auditor
Reviews one pull request in a BT6 codebase for correctness, research integrity, security, verification quality, and merge readiness.
Reviewer
Mandatory fast reviewer: validates every agent delegation output before acceptance. Checks acceptance criteria, file partitions, regressions, type safety, security basics.
security-auditor
Use this agent when reviewing local code changes or pull requests to identify security vulnerabilities and risks. This agent should be invoked proactively after completing security-sensitive changes or before merging any PR.
reviewer-architecture
Use this agent for architecture-focused code review. Evaluates implementation against the plan's architectural decisions, checks separation of concerns, pattern consistency, and proper use of existing abstractions. Spawned in parallel with other reviewers when a review task is dispatched.