MateClaw is a pluggable agent runtime that coordinates AI agents, tools, conversations, memory, and workflows. It is designed for personal and multi-user AI assistants, including agents used through chat platforms. Catalogue add-ons provide skills for extending its agent workflows.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add mateaix/mateclaw --skill requesting-code-reviewgit clone --depth 1 https://github.com/mateaix/mateclawWrote 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/skills/mateaix/mateclaw/requesting-code-review)<a href="https://agentmods.dev/skills/mateaix/mateclaw/requesting-code-review"><img src="https://agentmods.dev/badge/skills/mateaix/mateclaw/requesting-code-review/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/skills/mateaix/mateclaw/requesting-code-review"><img src="https://agentmods.dev/badge/skills/mateaix/mateclaw/requesting-code-review.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 | $0.00020 | $0.02079 |
| Opus 5.5 | $0.00008 | $0.00832 |
| Sonnet 5.5 | $0.00004 | $0.00416 |
| Haiku 4.5 | $0.00002 | $0.00208 |
Grade A, and why
requesting-code-review scanned grade A with 1 finding 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.
Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
os.system(f"ls {user_input}") This is a copy
91% identical to requesting-code-review — 24 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.
How it starts
The opening of the file, as written. The whole thing — 281 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Pre-Commit Code Verification
Automated verification pipeline before code lands. Static scans, baseline-aware quality gates, an independent reviewer subagent, and an auto-fix loop.
Core principle: No agent should verify its own work. Fresh context finds what you miss.
When to Use
- After implementing a feature or bug fix, before
git commitorgit push - When user says "commit", "push", "ship", "done", "verify", or "review before merge"
- After completing a task with 2+ file edits in a git repo
- After each task in subagent-driven-development (the two-stage review)
Skip for: documentation-only changes, pure config tweaks, or when user says "skip verification".
This skill vs github-code-review: This skill verifies YOUR changes before committing.
github-code-review reviews OTHER people's PRs on GitHub with inline comments.
Step 1 — Get the diff
git diff --cached
If empty, try git diff then git diff HEAD~1 HEAD.
If git diff --cached is empty but git diff shows changes, tell the user to
git add <files> first. If still empty, run git status — nothing to verify.
If the diff exceeds 15,000 characters, split by file:
git diff --name-only
git diff HEAD -- specific_file.py
Step 2 — Static security scan
Scan added lines only. Any match is a security concern fed into Step 5.
# Hardcoded secrets
git diff --cached | grep "^+" | grep -iE "(api_key|secret|password|token|passwd)\s*=\s*['\"][^'\"]{6,}['\"]"
# Shell injection
git diff --cached | grep "^+" | grep -E "os\.system\(|subprocess.*shell=True"
# Dangerous eval/exec
git diff --cached | grep "^+" | grep -E "\beval\(|\bexec\("
# Unsafe deserialization
git diff --cached | grep "^+" | grep -E "pickle\.loads?\("
# SQL injection (string formatting in queries)
git diff --cached | grep "^+" | grep -E "execute\(f\"|\.format\(.*SELECT|\.format\(.*INSERT"
Step 3 — Baseline tests and linting
Detect the project language and run the appropriate tools. Capture the failure count BEFORE your changes as baseline_failures (stash changes, run, pop). Only NEW failures introduced by your changes block the commit.
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 · 281 lines · 20 tokens per session scan A bdfa7d4edc17
requesting-code-review is a skill published in the GitHub repository mateaix/mateclaw (1,170 stars, last pushed today), licensed Apache-2.0. It adds 20 tokens to every session and 2,079 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 1 finding (runs shell commands). It is 91% identical to requesting-code-review, differing in 24 lines, and is treated as a copy.
Other skills, from other repositories
dos-verify-done-claims
Before accepting an agent's 'done / shipped / fixed' claim, verify it against ground truth (git ancestry + the commit's own diff) using the DOS kernel's dos verify and dos commit-audit — never the agent's own narration.
audit
Use when the user wants a code review on recent changes — quality, spec, security, or performance feedback. Triggers a multi-level (L1-L5) review with a standalone Reviewer; on NEEDSFIX, offers to apply findings via /hyperflow:plan. Trigger with /hyperflow:audit, "review this change", "review my PR", "audit the diff"…
pentest-whitebox-code-review
Source code security audit using backward taint analysis, slot type classification, render context verification, and 3-phase parallel review producing an exploitation queue.
verification-quality
Truth scoring, code-quality verification, and automatic rollback with a high accuracy threshold. Use when validating agent output before it ships, gating changes on quality, or adding a verify-and-rollback safety loop.
aif-code-review
Review code for bugs, regressions, maintainability, reliability and verification gaps with evidence.
code-review
A code-review and quality-analysis skill written in Chinese. It is intended to inspect code, find potential problems, and suggest improvements.