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 skills add gaia-research/gaia-skill-heaven --skill pi-playbookgit clone --depth 1 https://github.com/gaia-research/gaia-skill-heavenWrote 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/skills/gaia-research/gaia-skill-heaven/pi-playbook)<a href="https://agentmods.dev/skills/gaia-research/gaia-skill-heaven/pi-playbook"><img src="https://agentmods.dev/badge/skills/gaia-research/gaia-skill-heaven/pi-playbook/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/skills/gaia-research/gaia-skill-heaven/pi-playbook"><img src="https://agentmods.dev/badge/skills/gaia-research/gaia-skill-heaven/pi-playbook.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 | $0.00059 | $0.01627 |
| Opus 5.5 | $0.00024 | $0.00651 |
| Sonnet 5.5 | $0.00012 | $0.00325 |
| Haiku 4.5 | $0.00006 | $0.00163 |
Grade A, and why
pi-playbook scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 170 lines — stays where its author put it; the contents beside it link to each section on GitHub.
pi Playbook
pi is a coding agent CLI with a flag surface that maps unusually cleanly onto Skill Heaven's
mechanisms — it can evict and readmit skills natively, so postures compose without any
config-directory tricks.
Verified against pi 0.83.0. Re-check pi --version before trusting any dose measurement;
a flag's behaviour has changed across versions before (see §5).
Rule 0 — run pi in a herdr pane, never through your Bash tool. The operator must be able to see which model you invoked. A probe the operator could not see is not evidence. Use
pane send-textwith a trailing newline inside the quotes — notpane run, which splits argv on whitespace and destroys quoted prompts:herdr pane send-text "$PROBE_PANE" 'pi --model openai-codex/gpt-5.6-luna:low -p --no-session "probe text" ' herdr pane read "$PROBE_PANE"
Building the door? Read
packages/core/skills/harness-door-pattern/SKILL.mdfirst — it carries the suppression-mechanism taxonomy, the probe methodology, and the traps. This playbook is the harness-specific detail underneath it.
1. Model selection
pi --list-models # all models
pi --list-models luna # fuzzy search
Models are addressed as provider/id, with an optional :thinking suffix:
pi --model openai-codex/gpt-5.6-luna:low "..."
pi --model openai-codex/gpt-5.6-luna:max "..."
Session guinea pig: openai-codex/gpt-5.6-luna:low ("Luna Light") — use it for probes and
high-volume runs. :max ("Luna Max") is the heavier tier for coding work.
Thinking levels: off, minimal, low, medium, high, xhigh, max — settable inline as
:level or via --thinking <level>.
2. Non-interactive invocation
pi -p --no-session "your prompt"
-p/--print— process the prompt and exit.--no-session— do not persist a session file. Always use this for probes, otherwise probe runs accumulate as session state and pollute later comparisons.--mode json— structured output for machine consumption.
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 · 170 lines · 59 tokens per session scan A 20d326440ee7
pi-playbook is a skill published in the GitHub repository gaia-research/gaia-skill-heaven (4 stars, last pushed today), licensed MIT. It adds 59 tokens to every session and 1,627 once invoked, about $0.0002 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 2026-08-31.
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