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 0xMassi/claude-skills --skill code-reviewgit clone --depth 1 https://github.com/0xMassi/claude-skillsWrote 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/0xmassi/claude-skills/code-review)<a href="https://agentmods.dev/skills/0xmassi/claude-skills/code-review"><img src="https://agentmods.dev/badge/skills/0xmassi/claude-skills/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/0xmassi/claude-skills/code-review"><img src="https://agentmods.dev/badge/skills/0xmassi/claude-skills/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 | $0.00089 | $0.02007 |
| Opus 5 | $0.00044 | $0.01004 |
| Sonnet 5 | $0.00018 | $0.00401 |
| Haiku 4.5 | $0.00009 | $0.00201 |
Grade A, and why
code-review scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 222 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Code Review
Run a structured review of branch changes covering security, language strictness, performance, and conventions.
Workflow
Step 1: Detect changes
# Default base branch is main. User can override: /code-review --base staging
BASE=${1:-main}
git fetch origin "$BASE" --quiet 2>/dev/null || true
MERGE_BASE=$(git merge-base "origin/$BASE" HEAD)
BRANCH=$(git rev-parse --abbrev-ref HEAD)
# Changed files and stats
git diff --name-status "$MERGE_BASE"..HEAD
git diff --stat "$MERGE_BASE"..HEAD
git log --oneline "$MERGE_BASE"..HEAD
Use $MERGE_BASE..HEAD for ALL diffs. Never use origin/main..HEAD directly -- it includes changes from other merged branches.
Step 2: Auto-detect languages
Map file extensions to rule sets:
| Extension | Rule set | Skill |
|---|---|---|
.ts, .tsx |
TypeScript | typescript-strict |
.rs |
Rust | rust-strict |
.swift |
Swift | swift-strict |
.go |
Go | go-strict |
.js, .mjs, .cjs |
JavaScript | javascript-strict |
Only apply rules for languages present in the diff.
Step 3: Run checks
Run in this order. For each finding, record file, line number, description, and rule ID.
3a. Security scan (security-audit-standard)
Scan the diff output (not the full repo) for:
- Secrets: API keys, tokens, passwords, connection strings (
sk-,ghp_,AKIA,-----BEGIN PRIVATE KEY) - Input validation: unvalidated user input reaching SQL, HTML, shell commands, file paths
- Injection risks: string concatenation in queries,
eval(),innerHTML, unsanitized template literals - Auth issues: missing auth checks on endpoints, weak JWT config, secrets in client-side code
- File patterns:
.env,*.pem,credentials.jsoncommitted
3b. Language strictness checks
Apply the top rules for each detected language (see Quick Reference Tables below). Read the changed lines and flag violations.
3c. Performance scan (performance-audit-standard)
Look for these anti-patterns in the diff:
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.
- 9d ago First seen · 222 lines · 89 tokens per session scan A 5571ae6e8570
code-review is a skill published in the GitHub repository 0xMassi/claude-skills (7 stars, last pushed 4mo ago), licensed MIT. It adds 89 tokens to every session and 2,007 once invoked, about $0.0004 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.
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tech-debt-audit
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