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 addyosmani/factory --skill factory-implementgit clone --depth 1 https://github.com/addyosmani/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/addyosmani/factory/factory-implement)<a href="https://agentmods.dev/skills/addyosmani/factory/factory-implement"><img src="https://agentmods.dev/badge/skills/addyosmani/factory/factory-implement/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/addyosmani/factory/factory-implement"><img src="https://agentmods.dev/badge/skills/addyosmani/factory/factory-implement.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Agent Snooping · line 9 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
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 | $0.00030 | $0.00117 |
| Opus 5.5 | $0.00012 | $0.00047 |
| Sonnet 5.5 | $0.00006 | $0.00023 |
| Haiku 4.5 | $0.00003 | $0.00012 |
Grade A, and why
factory-implement 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.
What it actually says
Factory implementation for Codex
Read docs/factory/CONTRACT.md, docs/factory/CHARTER.md, and then the canonical workflow
in .claude/skills/factory-implement/SKILL.md. Use Codex's subagent mechanism for the fresh
verifier context. If an independent context is unavailable, stop before opening a non-draft
pull request.
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 First seen · 13 lines · 30 tokens per session scan A e7c6fd8cd3de
factory-implement is a skill published in the GitHub repository addyosmani/factory (276 stars, last pushed 2mo ago), licensed MIT. It adds 30 tokens to every session and 117 once invoked, about $0.0001 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 2026-08-30.
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git-workflow
Use when committing work, creating branches, preparing PRs, resolving merge conflicts, when grouping related changes into commits, when cleaning up history before merging, or when deciding what should be a separate commit vs squashed.
github-tracking
Composable GitHub issue/milestone tracking operations. Called by other skills — not invoked directly by the user.
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engineer-bot-ops
A workflow for carrying an engineering task from scope through implementation and reviewable delivery. It works with a repository's branch, existing changes, rules, checks, and permissions while separating completed, unverified, and next-step work.