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 Green-PT/honey-for-devs --skill honey-reviewgit clone --depth 1 https://github.com/Green-PT/honey-for-devsWrote 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/green-pt/honey-for-devs/honey-review)<a href="https://agentmods.dev/skills/green-pt/honey-for-devs/honey-review"><img src="https://agentmods.dev/badge/skills/green-pt/honey-for-devs/honey-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/green-pt/honey-for-devs/honey-review"><img src="https://agentmods.dev/badge/skills/green-pt/honey-for-devs/honey-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00016 | $0.00422 |
| Opus 5 | $0.00008 | $0.00211 |
| Sonnet 5 | $0.00003 | $0.00084 |
| Haiku 4.5 | $0.00002 | $0.00042 |
Grade A, and why
honey-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 12d 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
Honey Review
Read the diff (git diff or the named range). Report only what to cut and why — the reverse of Honey's two write-levers.
Find
- Over-engineering (Lever 1) — code that needn't exist: speculative params, "might need it later" branches, single-caller abstractions, hand-rolled
itertools/pathlib/datetime, a new dependency for four lines, a reimplemented existing util. - Over-verbosity (Lever 2) — dead code, commented-out blocks, comments narrating what the code already says, redundant scaffolding.
Never flag (the carve-out is load-bearing)
Input validation, error handling, auth, secrets handling, accessibility basics, and visual/UX polish on user-facing deliverables are not bloat. A test or assert proving non-trivial logic is not bloat. Don't suggest cutting them.
Output — delete-list, one line per finding
path:line — cut <what>; <one-clause why> (−N lines)
- Ordered by lines saved, deepest first.
- End with one total line:
Total: −N lines across M findings. - Nothing to cut → say so in one line. Don't manufacture findings.
- Terse but human-readable (this is for a person, not an agent — that's
hive-reviewer's job).
Example:
src/util.py:12 — cut hand-rolled flatten; stdlib itertools.chain.from_iterable does it (−9 lines)
src/api.js:40 — cut unused `opts` param; no caller passes it (−3 lines)
Total: −12 lines across 2 findings.
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.
- 12d ago First seen · 43 lines · 16 tokens per session scan A 2d8eecbd331b
honey-review is a skill published in the GitHub repository Green-PT/honey-for-devs (294 stars, last pushed 4d ago), licensed MIT. It adds 16 tokens to every session and 422 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.
Other skills, from other repositories
code-review-excellence
Master effective code review practices to provide constructive feedback, catch bugs early, and foster knowledge sharing while maintaining team morale. Use when reviewing pull requests, establishing review standards, or mentoring developers.
multi-reviewer-patterns
Coordinate parallel code reviews across multiple quality dimensions with finding deduplication, severity calibration, and consolidated reporting. Use this skill when organizing multi-reviewer code reviews, calibrating finding severity, or consolidating review results.
review-full
Run a comprehensive multi-perspective code review on recent changes. Also triggers on 'is this secure?', 'security review', 'check for vulnerabilities', 'could this be exploited?' for security-focused review. Produces: GO/NO-GO verdict + findings table (Severity | Category | File:Line | Issue | Recommendation)…
review-diff
Scan git diffs for project-specific anti-patterns. Triggers on: 'scan diff', 'check diff', 'anti-pattern check', 'pattern scan', 'review changes'.
pr-review
Review and post feedback on a GitHub or Gitea pull request end-to-end: fetch the PR diff, run a multi-agent code review, and auto-post the verdict as a real PR review (approve/request-changes/comment) via the platform's API. Triggers on: 'review this PR', 'review PR #N', 'check this pull request', 'post a PR review'…
prereview
Review the current diff against this team's conventions and invariants before it ships. Invoke with /prereview before opening a PR, or run as a pre-push gate.