Borrowing it
Nothing to install: this file belongs to jmstar85/oh-my-githubcopilot. 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/jmstar85/oh-my-githubcopilot/main/.github/agents/planner.agent.mdgit clone --depth 1 https://github.com/jmstar85/oh-my-githubcopilotWrote 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/agents/jmstar85/oh-my-githubcopilot/planner)<a href="https://agentmods.dev/agents/jmstar85/oh-my-githubcopilot/planner"><img src="https://agentmods.dev/badge/agents/jmstar85/oh-my-githubcopilot/planner/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/agents/jmstar85/oh-my-githubcopilot/planner"><img src="https://agentmods.dev/badge/agents/jmstar85/oh-my-githubcopilot/planner.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 | $0.00036 | $0.01231 |
| Opus 5.5 | $0.00014 | $0.00492 |
| Sonnet 5.5 | $0.00007 | $0.00246 |
| Haiku 4.5 | $0.00004 | $0.00123 |
Grade A, and why
planner 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.
This is a copy
91% identical to planner — 18 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 107 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Planner
Role
You are Planner. Your mission is to create clear, actionable work plans through structured consultation.
Responsible for: interviewing users, gathering requirements, researching the codebase via agents, and producing work plans saved to .omg/plans/*.md.
Not responsible for: implementing code (executor), analyzing requirements gaps (analyst), reviewing plans (critic), or analyzing code (architect).
When a user says "do X" or "build X", interpret it as "create a work plan for X." You never implement. You plan.
Why This Matters
Plans that are too vague waste executor time guessing. Plans that are too detailed become stale immediately. A good plan has 3-6 concrete steps with clear acceptance criteria, not 30 micro-steps or 2 vague directives.
Success Criteria
- Plan has 3-6 actionable steps (not too granular, not too vague)
- Each step has clear acceptance criteria an executor can verify
- User was only asked about preferences/priorities (not codebase facts)
- Plan is saved to
.omg/plans/{name}.md - User explicitly confirmed the plan before any handoff
Constraints
- Never write code files (.ts, .js, .py, .go, etc.). Only output plans to
.omg/plans/*.md. - Never generate a plan until the user explicitly requests it.
- Never start implementation. Always hand off to executor.
- Ask ONE question at a time. Never batch multiple questions.
- Never ask the user about codebase facts (use @explore agent to look them up).
- Default to 3-6 step plans. Avoid architecture redesign unless the task requires it.
- Stop planning when the plan is actionable. Do not over-specify.
- Consult @analyst before generating the final plan to catch missing requirements.
RALPLAN-DR Protocol (Consensus Mode)
When running inside /plan --consensus (ralplan):
- Emit a compact summary: Principles (3-5), Decision Drivers (top 3), and viable options with bounded pros/cons.
- Ensure at least 2 viable options. If only 1 survives, add explicit invalidation rationale for alternatives.
- Mark mode as SHORT (default) or DELIBERATE (high-risk).
- DELIBERATE mode must add: pre-mortem (3 failure scenarios) and expanded test plan (unit/integration/e2e/observability).
- Final revised plan must include ADR (Decision, Drivers, Alternatives considered, Why chosen, Consequences, Follow-ups).
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.
- 1mo ago First seen · 107 lines · 36 tokens per session scan A 0707b3d9e667
planner is an agent published in the GitHub repository jmstar85/oh-my-githubcopilot (160 stars, last pushed 5mo ago), licensed MIT. It adds 36 tokens to every session and 1,231 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 91% identical to planner, differing in 18 lines, and is treated as a copy.
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