Borrowing it
Nothing to install: this file belongs to cdeust/ai-architect-mcp-spec. 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/cdeust/ai-architect-mcp-spec/main/.claude/commands/review-pr.mdgit clone --depth 1 https://github.com/cdeust/ai-architect-mcp-specWrote 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/commands/cdeust/ai-architect-mcp-spec/review-pr)<a href="https://agentmods.dev/commands/cdeust/ai-architect-mcp-spec/review-pr"><img src="https://agentmods.dev/badge/commands/cdeust/ai-architect-mcp-spec/review-pr/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/commands/cdeust/ai-architect-mcp-spec/review-pr"><img src="https://agentmods.dev/badge/commands/cdeust/ai-architect-mcp-spec/review-pr.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 | $0.00004 | $0.00129 |
| Opus 5.5 | $0.00002 | $0.00052 |
| Sonnet 5.5 | $0.00001 | $0.00026 |
| Haiku 4.5 | $0.00000 | $0.00013 |
Grade A, and why
review-pr 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 yesterday.
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 review-pr — 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
Perform a comprehensive code review using subagents for key areas:
- code-quality-reviewer
- performance-reviewer
- test-coverage-reviewer
- documentation-accuracy-reviewer
- security-code-reviewer
Instruct each to only provide noteworthy feedback. Once they finish, review the feedback and post only the feedback that you also deem noteworthy.
Provide feedback using inline comments for specific issues. Use top-level comments for general observations or praise. Keep feedback concise.
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.
- yesterday First seen · 21 lines · 4 tokens per session scan A 7b03c6330355
review-pr is a command published in the GitHub repository cdeust/ai-architect-mcp-spec (6 stars, last pushed today), licensed MIT. It adds 4 tokens to every session and 129 once invoked, about $0.0000 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to review-pr, differing in 0 lines, and is treated as a copy.
Other commands, from other repositories
is-not-duplicated
please investigate the codebase based on your changes - do we have code duplication? After analysis, write updates to DUPLICATIONREPORT.md with the results. Keep in mind that other agents could keep their records, so you need to check the document first, decided to update or add new information.
review
Comprehensive code review for blz changes.
implement
Multi-agent advisory squad workflow for implementing code changes: classify → score risk → select agents → planner → Gate 1 (plan approval) → advisory squad → Gate 2 (Blocker halt) → implementer → consolidator → verdict. Auto-detects depth (quick/normal/deep) from risk + file count; pass --quick or --deep to override.…
show_diff
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simplify
Simplifies code after implementation. Reviews recent changes and suggests/applies simplifications while preserving behavior.
mx-design-review
Fresh-context reviewer for a proposed Mendix design. Audits against the /mx-discover inventory for naming collisions, anti-patterns, missing tests, security, marketplace overlap, migration risk. Read-only.