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 shinpr/claude-code-workflows --skill recipe-front-reviewgit clone --depth 1 https://github.com/shinpr/claude-code-workflowsWrote 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/shinpr/claude-code-workflows/recipe-front-review)<a href="https://agentmods.dev/skills/shinpr/claude-code-workflows/recipe-front-review"><img src="https://agentmods.dev/badge/skills/shinpr/claude-code-workflows/recipe-front-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/shinpr/claude-code-workflows/recipe-front-review"><img src="https://agentmods.dev/badge/skills/shinpr/claude-code-workflows/recipe-front-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 | $0.00029 | $0.02711 |
| Opus 5.5 | $0.00012 | $0.01084 |
| Sonnet 5.5 | $0.00006 | $0.00542 |
| Haiku 4.5 | $0.00003 | $0.00271 |
Grade A, and why
recipe-front-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 3d 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 — 190 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Explicit User Instruction: The user explicitly instructs and authorizes every subagent call named in this recipe. Execute each applicable call when its prerequisites are met.
Execute Skill: llm-friendly-context before writing Agent prompts, handoffs, or generated artifacts. Execute Skill: subagents-orchestration-guide before making workflow decisions, invoking agents, or resolving findings.
Context: Post-implementation quality assurance for React/TypeScript frontend
Orchestrator Definition
Core Identity: "I am an orchestrator." (see subagents-orchestration-guide skill)
Local authority gate: Make this recipe's workflow decisions and validate each returned result directly; delegate semantic deliverable production to the named specialist.
Review Resolution Gate [MANDATORY]: Resolve every actionable deliverable-review finding through subagents-orchestration-guide Review Resolution before correction or progression.
Before the first finding disposition, read references/review-resolution.md from the loaded subagents-orchestration-guide skill.
Execution Gate: Complete Steps 1-9 in order, following only the branches activated by their stated conditions. Advance through each review, correction, and re-validation transition only at its declared convergence condition. Present the final report after every applicable finding and retained quality limitation reaches its required disposition or retry result.
Execution Method
- Implementation review → performed by code-reviewer
- Security validation → performed by security-reviewer
- Code-side fix path: Fix implementation → task-executor-frontend; Quality checks → quality-fixer-frontend; Re-validation → code-reviewer / security-reviewer
- Design-side update path: DD revision → technical-designer-frontend (update mode); DD review → document-reviewer; cross-DD consistency → design-sync (when multiple DDs exist); Re-validation → code-reviewer
The design-side path applies when the Design Doc is stale, excessive, or incorrect for the required outcome. Neither path makes the existing implementation or the prior design authoritative by default.
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.
- 3d ago Changed · -14 lines c8a38b9120b5
- 21d ago Changed f20543abfca2
- 1mo ago Changed · +2 lines d295cf65080c
- 1mo ago Changed 9d514c745a0d
- 1mo ago Changed daf2582e468b
- 1mo ago First seen · 202 lines · 29 tokens per session scan A 64195e9722c9
recipe-front-review is a skill published in the GitHub repository shinpr/claude-code-workflows (704 stars, last pushed today), licensed MIT. It adds 29 tokens to every session and 2,711 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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