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 FerroxLabs/ferrox-factory --skill ferrox-reviewgit clone --depth 1 https://github.com/FerroxLabs/ferrox-factoryWrote 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/ferroxlabs/ferrox-factory/ferrox-review)<a href="https://agentmods.dev/skills/ferroxlabs/ferrox-factory/ferrox-review"><img src="https://agentmods.dev/badge/skills/ferroxlabs/ferrox-factory/ferrox-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/ferroxlabs/ferrox-factory/ferrox-review"><img src="https://agentmods.dev/badge/skills/ferroxlabs/ferrox-factory/ferrox-review.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 | $0.00023 | $0.00451 |
| Opus 5 | $0.00012 | $0.00226 |
| Sonnet 5 | $0.00005 | $0.00090 |
| Haiku 4.5 | $0.00002 | $0.00045 |
Grade A, and why
ferrox-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 7d 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.
This is a copy
89% identical to gsd-review — 8 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Flow: Detect CLIs → Build review prompt → Invoke each CLI → Collect responses → Write REVIEWS.md
<execution_context> @~/.claude/ferrox-core/workflows/review.md </execution_context>
Flags:
--gemini— Include Gemini CLI review--claude— Include Claude CLI review (uses separate session)--codex— Include Codex CLI review--opencode— Include OpenCode review (uses model from user's OpenCode config)--qwen— Include Qwen Code review (Alibaba Qwen models)--cursor— Include Cursor agent review--agy/--antigravity— Include Antigravity CLI review--all— Include all available CLIs
No flags — if review.default_reviewers is set, review with only those configured
reviewers that are detected; otherwise review with all available CLIs. Configured
review.reviewer_instances names may appear in review.default_reviewers; each runs as an
independent reviewer identity backed by its configured adapter+model (see
docs/CONFIGURATION.md). Instance names are not valid as flags.
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.
- 7d ago First seen · 49 lines · 23 tokens per session scan A f1472a3f7f4e
ferrox-review is a skill published in the GitHub repository FerroxLabs/ferrox-factory (22 stars, last pushed 1mo ago), licensed MIT. It adds 23 tokens to every session and 451 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 89% identical to gsd-review, differing in 8 lines, and is treated as a copy.
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