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/sjarmak/coding-agent-workflows/code-reviewnpx skills add sjarmak/coding-agent-workflows --skill code-reviewgit clone --depth 1 https://github.com/sjarmak/coding-agent-workflowsWhat 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 | $0.00037 | $0.00425 |
| Opus 5 | $0.00018 | $0.00212 |
| Sonnet 5 | $0.00007 | $0.00085 |
| Haiku 4.5 | $0.00004 | $0.00042 |
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 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.
What it actually says
Code Review
Comprehensive security and quality review of uncommitted changes:
-
Get changed files: git diff --name-only HEAD
-
For each changed file, check for:
Security Issues (CRITICAL):
- Hardcoded credentials, API keys, tokens
- SQL injection vulnerabilities
- XSS vulnerabilities
- Missing input validation
- Insecure dependencies
- Path traversal risks
Code Quality (HIGH):
- Functions > 50 lines
- Files > 800 lines
- Nesting depth > 4 levels
- Missing error handling
- console.log statements
- TODO/FIXME comments
- Missing JSDoc for public APIs
AI Slop & Erosion (HIGH) — see the anti-slop rule (rules/reference/anti-slop.md), weight toward code that extends existing modules:
- Overengineering: single-implementer interfaces, single-entry registries, factories returning a constant
- Documentation noise: narration comments, docstrings that restate the function name
- Premature optimization: caching constants, parallelism for tiny collections
- Error obscuring: success booleans / sentinel values instead of raised errors, retries swallowing failures
- Hidden behavior: silent fallbacks, auto-correction without warning
- Spec deviation: unrequested features, validation that never changes an outcome
Best Practices (MEDIUM):
- Mutation patterns (use immutable instead)
- Emoji usage in code/comments
- Missing tests for new code
- Accessibility issues (a11y)
-
Generate report with:
- Severity: CRITICAL, HIGH, MEDIUM, LOW
- File location and line numbers
- Issue description
- Suggested fix
-
Block commit if CRITICAL or HIGH issues found
Never approve code with security vulnerabilities!
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 · 60 lines · 37 tokens per session scan A 2311dde2a757
code-review is a skill published in the GitHub repository sjarmak/coding-agent-workflows (2 stars, last pushed 1mo ago), licensed MIT. It adds 37 tokens to every session and 425 once invoked, about $0.0002 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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