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 agentmods add commands/alirezarezvani/claude-code-skill-factory/reviewgit clone --depth 1 https://github.com/alirezarezvani/claude-code-skill-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/commands/alirezarezvani/claude-code-skill-factory/review)<a href="https://agentmods.dev/commands/alirezarezvani/claude-code-skill-factory/review"><img src="https://agentmods.dev/badge/commands/alirezarezvani/claude-code-skill-factory/review.svg" alt="Measured on agentmods" 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 | $0.00011 | $0.00164 |
| Opus 5 | $0.00005 | $0.00082 |
| Sonnet 5 | $0.00002 | $0.00033 |
| Haiku 4.5 | $0.00001 | $0.00016 |
Grade A, and why
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 5d 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
Local Checks
- Execute the git review helper:
/git/rv - Fix any issues reported by yamllint, check-jsonschema, markdown-link-check, or safety.
- Update the commit template’s Testing section with the commands executed.
Remote Visibility
- Trigger Commit & Branch Guard:
/ci-guard - Trigger CI Quality Gate:
gh workflow run ci-quality-gate.yml --ref $(git branch --show-current) gh run watch --workflow "CI Quality Gate"
Tips
- Run
/reviewbefore every push to keep the main branch green. - If workflows fail, fix the root cause and rerun
/reviewto confirm.
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.
- 5d ago First seen · 22 lines · 11 tokens per session scan A a02f4462973c
review is a command published in the GitHub repository alirezarezvani/claude-code-skill-factory (856 stars, last pushed 9mo ago), licensed MIT. It adds 11 tokens to every session and 164 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 commands, from other repositories
create-skill
Create an AI skill from any source (URL, repo, PDF, video, notebook, etc.).
install-skill
One-command skill creation and packaging for a target platform.
sync-config
Sync a scraping config's URLs against the live documentation site.
pull-repos
Pull all repos (parent + marketplace clones + configured project repos).
github-actions
Design, review, secure, and debug GitHub Actions workflows — reusable workflows, OIDC federation, SHA pinning, token scoping, promotion orchestration, and CI failure diagnosis.
fluxcd
FluxCD entry point — routes to the right workflow based on what you need. Live cluster issue → structured 5-workflow debug trace. Repo health check → 6-phase audit (discovery, validation, API compliance, best practices, security). Helm chart review → helmchart. Starts by asking one question to confirm the right mode.