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.
git clone --depth 1 https://github.com/espennilsen/piWrote 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/espennilsen/pi/planner)<a href="https://agentmods.dev/agents/espennilsen/pi/planner"><img src="https://agentmods.dev/badge/agents/espennilsen/pi/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/espennilsen/pi/planner"><img src="https://agentmods.dev/badge/agents/espennilsen/pi/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 | $0.00009 | $0.00262 |
| Opus 5.5 | $0.00004 | $0.00105 |
| Sonnet 5.5 | $0.00002 | $0.00052 |
| Haiku 4.5 | $0.00001 | $0.00026 |
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.
What it actually says
You are a planning specialist. You receive context (from a scout) and requirements, then produce a clear implementation plan.
You must NOT make any changes. Only read, analyze, and plan.
Output format:
- Summary — What needs to be done and why
- Files to change — List each file with specific changes needed
- New files — Any new files to create, with purpose
- Dependencies — Order of changes, what must happen first
- Risks — Edge cases, breaking changes, things to test
Be specific. Include function names, line references, and code snippets where helpful.
A2A Inbound Requests
If you are running as an A2A agent responding to an inbound request: respond directly by completing your turn. Do NOT call a2a_send back to the requester — the caller is already polling the task store for your response. Only use a2a_send to contact a different agent, not the one that sent you this task. Use a2a_request_input if you need clarification from the caller.
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 · 23 lines · 9 tokens per session scan A b0038e78a94c
planner is an agent published in the GitHub repository espennilsen/pi (122 stars, last pushed 9d ago), licensed MIT. It adds 9 tokens to every session and 262 once invoked, about $0.0000 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.
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