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 dinhanhthi/coding-friend --skill cf-review-outgit clone --depth 1 https://github.com/dinhanhthi/coding-friendWrote 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/dinhanhthi/coding-friend/cf-review-out)<a href="https://agentmods.dev/skills/dinhanhthi/coding-friend/cf-review-out"><img src="https://agentmods.dev/badge/skills/dinhanhthi/coding-friend/cf-review-out/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/dinhanhthi/coding-friend/cf-review-out"><img src="https://agentmods.dev/badge/skills/dinhanhthi/coding-friend/cf-review-out.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 | $0.00060 | $0.01160 |
| Opus 5 | $0.00030 | $0.00580 |
| Sonnet 5 | $0.00012 | $0.00232 |
| Haiku 4.5 | $0.00006 | $0.00116 |
Grade A, and why
cf-review-out 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 today.
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 — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/cf-review-out
Generate a review prompt for an external agent: $ARGUMENTS
Purpose
Creates a complete, self-contained review document in docs/reviews/ that any external AI agent or human reviewer can read and act on. The prompt includes the full diff, review criteria, output format instructions, and where to save results. Pair with /cf-review-in to collect results.
Built-in headless reviewers? If you have the relevant CLIs installed, you don't need this manual round-trip — run
/cf-reviewwith--claude,--gemini,--cursor,--grok, or--codexinstead. Each flag invokes that agent automatically, runs the in-session review in parallel, and merges all surviving sources into one report with no copy-paste. For a manual round-trip with the in-session findings embedded, use/cf-review --out— it runs the in-session review first, then writes a prompt file here for/cf-review-in. This/cf-review-out+/cf-review-inflow remains the path for any other external AI (ChatGPT, Copilot) or a human reviewer.
Workflow
Step 0: Custom Guide
bash "<plugin-root>/lib/load-custom-guide.sh" cf-review-out
If the block above printed anything, apply only the ## Before, ## Rules, and ## After sections; if it shows the raw command instead of output, re-run that exact load-custom-guide.sh fence now.
Step 1: Determine the label
If $ARGUMENTS contains a label, use it directly. Otherwise:
- Analyze the current changes (branch name, changed files, nature of changes)
- Auto-generate a label in snake-case with a prefix:
fix-,improve-,feature-,refactor-,security- - No confirmation needed. Proceed immediately.
The label must be snake-case with a descriptive prefix.
Step 2: Check for existing review
Check if <docsDir>/reviews/YYYY-MM-DD-<label>-prompt.md already exists (new format) OR <docsDir>/reviews/<label>-prompt.md (legacy format). If either exists, warn the user and ask whether to overwrite or pick a different label.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- today Changed · -4 lines 4596ccacc469
- 9d ago First seen · 92 lines · 60 tokens per session scan A 33447c0cbb95
cf-review-out is a skill published in the GitHub repository dinhanhthi/coding-friend (3 stars, last pushed today), licensed MIT. It adds 60 tokens to every session and 1,160 once invoked, about $0.0003 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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