recipe-skills: Instructions file for Codex

AGENTS.md

recipe-skills AGENTS.md is an instructions file for Codex, OpenCode from workato-devs/recipe-skills. It costs 1,061 tokens per session, scanned A, original, MIT.

A repository instruction document for recipe-skills, an open library that teaches AI agents to create Workato automation recipes. A Workato recipe is a workflow connecting services and actions.

In plain words
What is it for?
Use it to navigate the recipe skill library, load the required base and connector guidance, and follow its templates, lint rules, and validation steps.
Why use it?
It tells agents which instructions and connector-specific materials to load before generating recipe JSON, reducing the chance of invalid or incomplete recipes.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: reads .claude/ paths; mentions Claude Code; mentions AGENTS.md.

This is workato-devs/recipe-skills's own configuration. It tells Codex and OpenCode how to work on recipe-skills itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything recipe-skills configures →

Reuse

Borrowing it

Nothing to install: this file belongs to workato-devs/recipe-skills. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/workato-devs/recipe-skills/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/workato-devs/recipe-skills

Made for: Codex, OpenCode.

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Per session 1,061 This file is loaded in full into every session.
When invoked 1,061 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 $0.01061 $0.01061
Opus 5.5 $0.00424 $0.00424
Sonnet 5.5 $0.00212 $0.00212
Haiku 4.5 $0.00106 $0.00106

Measured 2mo ago against content hash 798b3eb734cb, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

recipe-skills AGENTS.md 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 2mo 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.md · 58 lines

How it starts

The opening of the file, as written. The whole thing — 58 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md — Recipe Skills

This repository is an open knowledge library for agent-assisted Workato recipe development, part of Workato Labs. It does not contain an application to run. It contains skills: bundles of documentation, validated templates, audited lint rules, and patterns that teach an AI agent how to generate valid Workato recipe JSON for a specific connector.

If you are an agent reading this file, your job is to load the right skills before generating recipes — not to run a build.

How to use this library

Skills live under skills/<connector>-recipes/. Each skill's entry point is its SKILL.md.

Load order is mandatory:

  1. Always load the base skill first: skills/workato-recipes/SKILL.md It covers recipe JSON structure, trigger types, control flow, datapill syntax, and formulas. Every connector skill extends it (see each skill.yaml), so connector instructions assume this base is already in context.
  2. Then load the connector skill(s) relevant to the user's request, from the table below.
  3. Within a skill, follow its references to templates/, patterns/, lint-rules.json, and validation-checklist.md as needed.

Do not enumerate or guess action/trigger names from this file. Each skill's lint-rules.json is the audited source of truth for valid action and trigger names; the SKILL.md covers when and how to use them.

Routing table

Match the user's request to a connector and load that skill (after the base skill).

If the user wants to work with… Load this skill
Recipe fundamentals only (triggers, control flow, datapills, formulas, API endpoints) skills/workato-recipes/SKILL.md (base — always)
Salesforce (records, SObjects, upsert, SOQL) skills/salesforce-recipes/SKILL.md
Slack or Workbot (slash commands, dialogs, messages) skills/slack-recipes/SKILL.md
Stripe (customers, payments, refunds) skills/stripe-recipes/SKILL.md
Gmail (send, search, labels, messages) skills/gmail-recipes/SKILL.md
Jira (issues, JQL, sprints) skills/jira-recipes/SKILL.md
Asana (tasks, projects, portfolios, goals) skills/asana-recipes/SKILL.md
Workato Data Tables (CRUD, search, batch, the workato_db_table connector) skills/datatable-recipes/SKILL.md

Read the full file on GitHub · 58 lines

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. 2mo ago First seen · 58 lines · 1,061 tokens per session scan A 798b3eb734cb

Subscribe to this mod's changes

recipe-skills AGENTS.md is an instructions file published in the GitHub repository workato-devs/recipe-skills (20 stars, last pushed 2mo ago), licensed MIT. It adds 1,061 tokens to every session, about $0.0042 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.

Related

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