Borrowing it
Nothing to install: this file belongs to d-o-hub/github-template-ai-agents. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/d-o-hub/github-template-ai-agents/main/.gemini/commands/planning.tomlgit clone --depth 1 https://github.com/d-o-hub/github-template-ai-agentsWrote 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/commands/d-o-hub/github-template-ai-agents/planning)<a href="https://agentmods.dev/commands/d-o-hub/github-template-ai-agents/planning"><img src="https://agentmods.dev/badge/commands/d-o-hub/github-template-ai-agents/planning/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/commands/d-o-hub/github-template-ai-agents/planning"><img src="https://agentmods.dev/badge/commands/d-o-hub/github-template-ai-agents/planning.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 | $0.00000 | $0.00084 |
| Opus 5.5 | $0.00000 | $0.00034 |
| Sonnet 5.5 | $0.00000 | $0.00017 |
| Haiku 4.5 | $0.00000 | $0.00008 |
Grade A, and why
planning 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 18d 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.
What it actually says
description = "Create a structured plan for a complex task" prompt = """ Invoke the goap-agent skill. Analyze the user request and break it down into atomic, actionable steps. For each step, specify:
- The goal and success criteria
- Dependencies on other steps
- The suggested agent or skill to use Present the plan clearly in Markdown format and wait for user approval before starting implementation. """
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.
- 18d ago Changed 797b3920f0ce
- 1mo ago First seen · 11 lines · 0 tokens per session scan A 9781eb6382ae
planning is a command published in the GitHub repository d-o-hub/github-template-ai-agents (2 stars, last pushed yesterday), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 84 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 2026-09-03.
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auditoria-legal
Grupo: Trabajo con el framework En una frase: Auditoría de cumplimiento legal del producto — territorio, evidencia y lo que el código no cubre. Cuándo: Antes de publicar una app o web: registro, cookies, analítica, emails, suscripciones, contenido de usuarios. Quién: Cualquier operador del repo.