recipe-prepare-implementation

recipe-prepare-implementation is a skill for Claude Code, Codex from shinpr/codex-workflows. It costs 24 tokens per session (506 once invoked), scanned A, original, MIT.

A preparation workflow for making existing repository tools ready for an approved implementation plan. It covers local setup such as dependencies, containers, bootstrap commands, test runners, browser tools, fixtures, seeds, and example-based configuration.

In plain words
What is it for?
Use it when a repository lacks a ready local dependency, service, test harness, browser setup, fixture, seed process, or non-secret configuration needed by the plan.
Why use it?
It helps resolve one concrete missing local capability before implementation begins. It keeps setup work separate from feature coding, production access, and deployment.

Skill for Claude CodeCodex

Written for Claude Code and Codex: $ARGUMENTS substitution, but also agents/openai.yaml present. Also seen: mentions subagents; installed under .agents/ (shared by several agents).

Good fit Use it when a repository lacks a ready local dependency, service, test harness, browser setup, fixture, seed process, or non-secret configuration needed by the plan.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/shinpr/codex-workflows/recipe-prepare-implementation
Install

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.

Any agent
npx skills add shinpr/codex-workflows --skill recipe-prepare-implementation
Clone the repo
git clone --depth 1 https://github.com/shinpr/codex-workflows

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for recipe-prepare-implementation

README.md
[![agentmods](https://agentmods.dev/badge/skills/shinpr/codex-workflows/recipe-prepare-implementation/github.svg)](https://agentmods.dev/skills/shinpr/codex-workflows/recipe-prepare-implementation)
Your own site
<a href="https://agentmods.dev/skills/shinpr/codex-workflows/recipe-prepare-implementation"><img src="https://agentmods.dev/badge/skills/shinpr/codex-workflows/recipe-prepare-implementation/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.

agentmods 80×15 button for recipe-prepare-implementation

Your own site · 80×15
<a href="https://agentmods.dev/skills/shinpr/codex-workflows/recipe-prepare-implementation"><img src="https://agentmods.dev/badge/skills/shinpr/codex-workflows/recipe-prepare-implementation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 24 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 506 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to high

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 →

  • high System Prompt Leakage · line 8
    Skill contains instructions that could directly expose system prompts, internal rules, or hidden instructions to users or external parties.
    Fix: Remove any instructions that reveal, print, or output system prompts or internal rules. System instructions should never be exposed to end users.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00024 $0.00506
Opus 5.5 $0.00010 $0.00202
Sonnet 5.5 $0.00005 $0.00101
Haiku 4.5 $0.00002 $0.00051

Measured 1mo ago against content hash ea9b9d241952, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

recipe-prepare-implementation 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.

.agents/skills/recipe-prepare-implementation/SKILL.md · 59 lines

How it starts

The opening of the file, as written. The whole thing — 59 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Required Skills [LOAD BEFORE EXECUTION]

  1. [LOAD IF NOT ACTIVE] subagents-orchestration-guide — capability failure resolution and caller-return rules

Purpose

Run this optional side path when the user explicitly requests setup or Orchestrator Escalation Resolution identifies one concrete missing repository-local capability. Prepare existing repository-local tools needed to execute the approved Work Plan, then return a capability summary to the caller.

Work plan: $ARGUMENTS

Scope

Repository-local preparation includes existing project mechanisms for:

  • dependency installation
  • local containers or services
  • repository-provided bootstrap commands
  • test runner, browser harness, fixtures, and seed commands already referenced by the Work Plan or governing Design Doc
  • non-secret local configuration derived from checked-in examples

Feature implementation, new product behavior, external account creation, credential acquisition, organizational approval, production access, deployment, and release execution remain in their owning workflows. The caller continues with the capabilities available after this side path.

Process

  1. Resolve the exact Work Plan path from $ARGUMENTS, or from the build caller when invoked as its side path.
  2. Read repository manifests, lockfiles, checked-in setup documentation, and scripts that control commands used by the Work Plan.
  3. Select the smallest existing setup commands that enable the planned repository checks.
  4. Execute those commands and capture their observable results.
  5. Classify each planned capability as available or unavailable with concrete evidence.
  6. Return the capability summary to the caller. In a build flow, unavailable capabilities become task-local verification limitations handled through Orchestrator Escalation Resolution. The approved Work Plan and its implementation task set remain unchanged.

Use the active execution plan when one exists. When setup has multiple dependent commands and no plan exists, create one and update it through completion.

Read the full file on GitHub · 59 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

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.

  1. 1mo ago Changed ea9b9d241952
  2. 1mo ago First seen · 59 lines · 24 tokens per session scan A 35b8f4d31aac

Subscribe to this mod's changes

recipe-prepare-implementation is a skill published in the GitHub repository shinpr/codex-workflows (39 stars, last pushed 2d ago), licensed MIT. It adds 24 tokens to every session and 506 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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