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 skills/shinpr/claude-code-workflows/recipe-front-buildnpx skills add shinpr/claude-code-workflows --skill recipe-front-buildgit 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-build)<a href="https://agentmods.dev/skills/shinpr/claude-code-workflows/recipe-front-build"><img src="https://agentmods.dev/badge/skills/shinpr/claude-code-workflows/recipe-front-build.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 5.1 | $0.00014 | $0.02131 |
| Opus 5 | $0.00007 | $0.01066 |
| Sonnet 5 | $0.00003 | $0.00426 |
| Haiku 4.5 | $0.00001 | $0.00213 |
Grade A, and why
recipe-front-build 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 6d 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 — 143 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.
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 Protocol:
- Invoke named specialists for deliverable production — pass deliverable paths between them and validate their results (see subagents-orchestration-guide "Orchestrator Execution Boundary")
- Follow the 4-step task cycle exactly: execute → branch on executor result → quality-fix → commit
- Enter autonomous mode when user provides execution instruction with existing task files — this IS the batch approval
- Scope: Complete consumed task-set execution, post-implementation verification, consumed-task cleanup, and completion reporting in order, or stop autonomous execution at the current phase for a valid user-owned escalation. Advance only when the current phase's stated transition condition is satisfied.
CRITICAL: Run quality-fixer-frontend before every commit.
Work plan: $ARGUMENTS
Pre-execution Prerequisites
Work Plan Resolution
Before any task processing, locate the work plan. Resolution rule:
- Use the work plan explicitly supplied in
$ARGUMENTSwhen present. - Otherwise group single-layer task files by the existing
{plan-name}-task-*.mdnaming contract and map each group todocs/plans/{plan-name}.md. Exclude layer-aware fullstack task sets. - When task groups produce no candidate, use the only Work Plan under
docs/plans/when exactly one exists. - Select the sole candidate. When multiple candidates remain, present them for selection. When none exists, continue through the missing-prerequisite branch below.
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.
- 6d ago First seen · 143 lines · 14 tokens per session scan A 9bcc47d9a716
recipe-front-build is a skill published in the GitHub repository shinpr/claude-code-workflows (679 stars, last pushed 2d ago), licensed MIT. It adds 14 tokens to every session and 2,131 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.
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