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 rules/rkawaishi/workato-dev-kit/workato-agentic-formatgit clone --depth 1 https://github.com/rkawaishi/workato-dev-kitWhat 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 | $0.00000 | $0.01905 |
| Opus 5 | $0.00000 | $0.00953 |
| Sonnet 5 | $0.00000 | $0.00381 |
| Haiku 4.5 | $0.00000 | $0.00191 |
Grade A, and why
workato-agentic-format 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 2d 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 — 218 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Workato Agentic JSON Format
Genie (AI agent): *.agentic_genie.json
{
"name": "Genie name",
"logo_file_name": "logo.png",
"logo_content_type": "image/png",
"description": "Short description of the Genie",
"instructions": "System prompt (Markdown)",
"ai_provider": "anthropic",
"ai_model": null,
"matrix": false,
"mcp_servers": [],
"references": {
"ref_0": {
"type": "agentic_skill",
"id": {
"zip_name": "skill_name.agentic_skill.json",
"name": "Skill display name",
"folder": ""
}
}
}
}
Field details
| Field | Description |
|---|---|
instructions |
The Genie's system prompt. Describe its role, target users, behavior, and prohibitions. |
ai_provider |
"anthropic" / "openai" / etc. |
ai_model |
null for the default, or a specific model name. |
matrix |
Matrix mode (run multiple skills in parallel). |
mcp_servers |
List of MCP servers to connect to. |
references |
Use ref_0, ref_1, ... to reference the skills this Genie uses. |
Best practices for instructions
Structure the Genie's prompt under these sections:
- What's my job? — primary responsibilities
- Who will need my help? — target users
- How do I get things done? — behavior patterns
- What should I avoid? — prohibitions
- What results do you want me to track? — metrics to follow
- How should I talk to people? — communication style
- Any extra tips? — anything else
Agentic Skill: *.agentic_skill.json
{
"name": "Skill name",
"trigger_description": "When to use this skill\n\nSpecific trigger conditions",
"references": {
"recipe_id": {
"type": "recipe",
"id": {
"zip_name": "skill_recipe.recipe.json",
"name": "Recipe name",
"folder": ""
}
}
}
}
Relationship between skills and recipes
agentic_genie.json
└── references → agentic_skill.json (multiple allowed)
└── references.recipe_id → recipe.json
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.
- 2d ago First seen · 218 lines · 0 tokens per session scan A 56982057df98
workato-agentic-format is a cursor rule published in the GitHub repository rkawaishi/workato-dev-kit (5 stars, last pushed 2d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,905 tokens. 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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