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 agentmods add skills/stbenjam/skillsaw/code-reviewnpx skills add stbenjam/skillsaw --skill code-reviewgit clone --depth 1 https://github.com/stbenjam/skillsawWrote 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/stbenjam/skillsaw/code-review)<a href="https://agentmods.dev/skills/stbenjam/skillsaw/code-review"><img src="https://agentmods.dev/badge/skills/stbenjam/skillsaw/code-review.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 | $0.00023 | $0.00321 |
| Opus 5 | $0.00012 | $0.00161 |
| Sonnet 5 | $0.00005 | $0.00064 |
| Haiku 4.5 | $0.00002 | $0.00032 |
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 3d 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.
What it actually says
Code Review
Review pull request diffs to identify bugs, security issues, and style violations.
When to Use This Skill
Use when the user asks to review a PR, check recent changes, or audit code for quality issues.
Implementation Steps
Step 1: Get the Diff
Fetch the diff for the PR or branch:
gh pr diff $PR_NUMBER
Or for local changes:
git diff main...HEAD
Step 2: Analyze Changes
For each changed file, check for:
- Logic errors: off-by-one, null dereference, unchecked returns
- Security: SQL injection, XSS, hardcoded secrets, path traversal
- Style: naming conventions, import ordering, line length
- Tests: new functions without test coverage
Step 3: Produce Review
Format findings as a structured review:
## file.py:42 — Error: Unchecked return value
The return value of `db.execute()` is ignored. If the query fails,
the function continues with stale data.
**Suggestion:** Add error handling:
\`\`\`python
result = db.execute(query)
if result.error:
raise DatabaseError(result.error)
\`\`\`
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.
- 3d ago First seen · 57 lines · 23 tokens per session scan A 4b2b6ac687f6
code-review is a skill published in the GitHub repository stbenjam/skillsaw (59 stars, last pushed 3d ago), licensed Apache-2.0. It adds 23 tokens to every session and 321 once invoked, about $0.0001 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 2026-08-30.
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