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-ingit 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-in)<a href="https://agentmods.dev/skills/dinhanhthi/coding-friend/cf-review-in"><img src="https://agentmods.dev/badge/skills/dinhanhthi/coding-friend/cf-review-in/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-in"><img src="https://agentmods.dev/badge/skills/dinhanhthi/coding-friend/cf-review-in.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 | $0.00050 | $0.02475 |
| Opus 5.5 | $0.00020 | $0.00990 |
| Sonnet 5.5 | $0.00010 | $0.00495 |
| Haiku 4.5 | $0.00005 | $0.00248 |
Grade A, and why
cf-review-in 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 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.
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 — 217 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/cf-review-in
Collect external review results for: $ARGUMENTS
Purpose
Reads the review results written by an external AI agent (generated via /cf-review-out) and presents them in the conversation. Then offers to fix any issues found.
Workflow
Step 0: Custom Guide
bash "<plugin-root>/lib/load-custom-guide.sh" cf-review-in
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 and optional service
Parse $ARGUMENTS as <label> [service] — label is required, service is optional.
If $ARGUMENTS contains a label (and optionally a service), use them. Otherwise:
- List available result files in
<docsDir>/reviews/that match*-result-*.md - Extract unique labels from the filenames. Two formats are supported:
- New format:
YYYY-MM-DD-<label>-result-<service>.md— the fullYYYY-MM-DD-<label>stem is the label - Legacy format:
<label>-result-<service>.md— the<label>stem is the label
- New format:
- If exactly one label exists, use it
- If multiple labels exist, ask the user which one to collect
- If none exist, tell the user no results are available and suggest running
/cf-review-outfirst
Step 2: Find and read all result files for the label
Check the docsDir from .coding-friend/config.json (default: docs).
If a service was specified in step 1: try <docsDir>/reviews/<label>-result-<service>.md (works for both formats since <label> may already include the date prefix).
- If the file does not exist → tell the user: "No results found for service
<service>. Available:" then list existing services from<label>-result-*.mdfiles → STOP.
If no service was specified: glob for all files matching <docsDir>/reviews/<label>-result-*.md (covers both YYYY-MM-DD-<label>-result-*.md and <label>-result-*.md since the full label is used as given).
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 Changed · +4 lines c5954fcd8235
- 1mo ago Changed · -4 lines ea8e41c3d555
- 2mo ago First seen · 217 lines · 50 tokens per session scan A d53fd274801a
cf-review-in is a skill published in the GitHub repository dinhanhthi/coding-friend (4 stars, last pushed today), licensed MIT. It adds 50 tokens to every session and 2,475 once invoked, about $0.0002 per session on Opus 5.5. 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.
cf-review-in compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| cf-review-indinhanhthi/coding-friend | Skill | 4 | today | MIT | A | 50 | Claude Code |
| doris-repo-reviewapache/doris-skills | Skill | 49 | 2d ago | Apache-2.0 | A | 180 | Claude Code, Codex |
| develop-with-evidenceapache/doris-skills | Skill | 49 | 2d ago | Apache-2.0 | A | 147 | Codex |
| doris-pr-descriptionapache/doris-skills | Skill | 49 | 2d ago | Apache-2.0 | A | 196 | Claude Code, Codex |
| oxlintdelexw/claude-code-misc | Skill | 2 | 7mo ago | MIT | A | 111 | Claude Code, Codex |
| cn-checkcontinuedev/continue | Skill | 36k | yesterday | Apache-2.0 | A | 49 | Claude Code, Codex |
| officecli-pitch-deckiOfficeAI/OfficeCLI | Skill | 33k | 7d ago | Apache-2.0 | A | 163 | Claude Code, Codex |