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 escoffier-labs/skillet --skill recipegit clone --depth 1 https://github.com/escoffier-labs/skilletWrote 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/escoffier-labs/skillet/recipe)<a href="https://agentmods.dev/skills/escoffier-labs/skillet/recipe"><img src="https://agentmods.dev/badge/skills/escoffier-labs/skillet/recipe/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/escoffier-labs/skillet/recipe"><img src="https://agentmods.dev/badge/skills/escoffier-labs/skillet/recipe.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00057 | $0.01430 |
| Opus 5 | $0.00028 | $0.00715 |
| Sonnet 5 | $0.00011 | $0.00286 |
| Haiku 4.5 | $0.00006 | $0.00143 |
Grade A, and why
recipe 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 12d 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 — 89 lines — stays where its author put it; the contents beside it link to each section on GitHub.
recipe
A recipe card is written so a cook who has never seen the dish can plate it exactly: exact quantities, exact pan, exact minutes, steps in order. "Season to taste" is how the same dish comes out different every night. This skill turns an approved spec into that card: an implementation plan a zero-context engineer or fresh agent session can execute with you unavailable for questions.
Assume the implementer is skilled but knows nothing about this codebase or problem domain, and has questionable taste in tests. The plan carries everything: which files each task touches, the actual code, the exact commands, the output to expect. DRY, YAGNI, test-first, frequent commits.
Preconditions
- An approved design or spec exists (mise's output, or equivalent). No spec? Run mise first. Recipe shapes decided work; it does not decide.
- One plan per subsystem. If the spec spans several independent subsystems, say so and split before going deep; each plan must produce working, testable software on its own.
Steps
- Read the code you are planning against. The files the spec touches, one neighboring module that shows the house pattern, the test layout. A plan written from memory or a description of the codebase hedges ("if main returns the code, leave it; otherwise wrap it"), and every hedge is a decision forwarded to the implementer.
- Map the file structure. Before any tasks: every file the plan creates or modifies, and the one responsibility each holds. Prefer small focused files with clear boundaries; in an existing codebase, follow its patterns instead of restructuring. This map locks the decomposition. A file whose purpose needs "and" probably wants splitting.
- Open with the header. Goal in one sentence, architecture in two or three, key tech, and an instruction to agentic workers to execute task-by-task tracking the checkboxes.
- Decompose into tasks, each task into bite-size steps. A step is one action of a few minutes, written as a checkbox (
- [ ]): write the failing test (the actual test code), run it and watch it fail (the exact command and the expected failure), implement the minimal change (the actual code), run to green (command and expected output), commit (the command). Every task names its exact file paths up front. - Pin every decision. Exit-code orderings, edge-case behavior, naming, where a helper lives: decided in the plan, with the reason when it is not obvious. A plan that says "your call", "adapt to taste", or ends with an open-questions section has pushed design onto the person with the least context. A decision that genuinely cannot be made yet goes back to pressure-test or the spec's author now, not into the plan.
- Self-review with fresh eyes, then fix inline:
- Spec coverage: every requirement in the spec points to a task that implements it.
- Placeholder scan: hunt the patterns under No placeholders below.
- Consistency: names, signatures, and types used in later tasks match where earlier tasks defined them.
- Save to
docs/plans/YYYY-MM-DD-<topic>.md, commit, and hand off to fire. It executes in two shapes: a fresh subagent per task with review between tasks (preferred), or inline in one session with checkpoints. Either way the plan, not memory of this conversation, is the source of truth.
What ships with it
2 files 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.
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.
- 12d ago First seen · 89 lines · 57 tokens per session scan A 788b4e556880
recipe is a skill published in the GitHub repository escoffier-labs/skillet (4 stars, last pushed 11d ago), licensed MIT. It adds 57 tokens to every session and 1,430 once invoked, about $0.0003 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 2026-08-31.
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