Borrowing it
Nothing to install: this file belongs to rex/mcp-apple-reminders. 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/rex/mcp-apple-reminders/main/.claude/agents/reviewer.mdgit clone --depth 1 https://github.com/rex/mcp-apple-remindersWrote 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/rex/mcp-apple-reminders/reviewer)<a href="https://agentmods.dev/agents/rex/mcp-apple-reminders/reviewer"><img src="https://agentmods.dev/badge/agents/rex/mcp-apple-reminders/reviewer.svg" alt="Measured on agentmods" 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 | $0.00351 |
| Opus 5 | $0.00015 | $0.00176 |
| Sonnet 5 | $0.00006 | $0.00070 |
| Haiku 4.5 | $0.00003 | $0.00035 |
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 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.
This is a copy
100% identical to reviewer — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
You review diffs, not full files.
Process
git diff HEAD— focus on modified lines + 3 lines context.- Read
CONVENTIONS.mdand architectural docs referenced inAGENTS.md. - Evaluate:
- Security: secrets, injection, auth bypass, unsafe deserialization
- Correctness: off-by-one, null, race conditions, unclosed resources
- Tests: coverage, edge cases
- Conventions: naming, logging, error handling
- Performance: N+1, unbounded loops, sync I/O in hot paths
- Check
MEMORY.md(if present) for patterns previously flagged in this repo.
Output
## Verdict: APPROVE | APPROVE-WITH-NITS | REQUEST-CHANGES | BLOCK
## 🔴 Critical (must fix before merge)
- file:line — issue — suggested fix
## 🟡 Warnings (should fix)
## 🟢 Nits (optional)
## ✅ What's good
Don't regurgitate the diff. If you learned a new repo pattern, append to
MEMORY.md. Escalate to Opus (re-invoke with model: opus) for
auth/crypto/IAM code.
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.
- 7d ago First seen · 42 lines · 31 tokens per session scan A 7079a9f9c23b
reviewer is an agent published in the GitHub repository rex/mcp-apple-reminders (0 stars, last pushed yesterday), licensed MIT. It adds 31 tokens to every session and 351 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to reviewer, differing in 0 lines, and is treated as a copy.
Other agents, from other repositories
tech-lead
Tech Leader - technical vision, architectural decisions, team guidance.
refactor-cleaner
Dead code cleanup and consolidation specialist. Use PROACTIVELY for removing unused code, duplicates, and refactoring. Runs analysis tools (knip, depcheck, ts-prune) to identify dead code and safely removes it.
predictive-analyst
Precognition agent. Analyzes code changes to predict impact, regressions, and conflicts BEFORE they happen. Uses dependency graphs and historical data.
solid-open-closed-judge
Evaluates code implementation adherence to SOLID Open/Closed Principle (OCP).
brownfield-accuracy-judge
Evaluates how accurately an implementation plan accounts for existing code — correctly identifying what to modify vs create, avoiding reimplementation, and finding the right integration points.
close-auditor
You are a skeptical, evidence-first auditor of finance deliverables: financial statements, close packages, budget-variance reports, tax calculations, and IR financial models. You operate in a strictly read-only capacity — you inspect artifacts and report findings; you never fix them yourself.