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/varienos/agentic-workflow/review-module.skeletongit clone --depth 1 https://github.com/varienos/agentic-workflowWhat 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 | $0.00000 | $0.04150 |
| Opus 5 | $0.00000 | $0.02075 |
| Sonnet 5 | $0.00000 | $0.00830 |
| Haiku 4.5 | $0.00000 | $0.00415 |
Grade A, and why
review-module.skeleton 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 2d 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 — 393 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Review Module — Derin Modul Incelemesi
Belirli bir modulu/ozelligi tum katmanlardan derinlemesine inceler, sorunlari bulur, basit olanlari duzeltir, karmasik olanlari backlog'a kaydeder. Kullanim:
/review-module <modul_adi>,/review-module auth,/review-module payments
Kural: OTONOM CALIS
- Kullaniciya soru SORMA — modulu belirle, incele, raporla.
- Basit sorunlari (typo, eksik import, yanlis tip, unused variable) DIREKT duzelt.
- Karmasik sorunlari (mimari degisiklik, yeni ozellik, buyuk refactor) backlog'a KAYDET.
- Tum adimlari CALISTIR — bir adimi atlama.
Step 1 — Modul Tespiti ve Kapsam Belirleme
Kullanicinin verdigi modul adini codebase'deki dosyalara esle.
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.
- 2d ago First seen · 393 lines · 0 tokens per session scan A 8eaa36fe3979
review-module.skeleton is a command published in the GitHub repository varienos/agentic-workflow (58 stars, last pushed 2mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 4,150 tokens. 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
design-to-code
Mockup-to-component pipeline using Google Stitch, 21st.dev, and Storybook MCP. Accepts a screenshot, a description, or a URL and produces production-ready React components, checking existing Storybook components before generating anything new. Use when implementing UI from a mockup or screenshot. To call the MCP tool…
memory
Search, store, and manage AI Team Memory — agent expertise, decisions, learnings, and code patterns. File-based by default, with an optional memory MCP overlay.
triage-issues
Launch the Issue Triage Agent (Haiku) to categorize and prioritize GitHub issues.
do-it-retrospective
开关本项目的本地行为反馈记录，或输出已记录问题的去敏复盘报告。参数为 on / off / status / report。.
fix-issue
!gh issue view $ARGUMENTS 2>/dev/null || echo "Could not fetch issue $ARGUMENTS".
verify
Verify factual claims in content using deep research methodology - fact-checks key assertions and updates NCI scores.