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 skills/jakubgajski/pi-dispatch-skill/pi_dispatchnpx skills add jakubgajski/pi-dispatch-skill --skill pi_dispatchgit clone --depth 1 https://github.com/jakubgajski/pi-dispatch-skillWrote 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/jakubgajski/pi-dispatch-skill/pi_dispatch)<a href="https://agentmods.dev/skills/jakubgajski/pi-dispatch-skill/pi_dispatch"><img src="https://agentmods.dev/badge/skills/jakubgajski/pi-dispatch-skill/pi_dispatch.svg" alt="Measured on agentmods" 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 | $0.00073 | $0.01813 |
| Opus 5 | $0.00036 | $0.00907 |
| Sonnet 5 | $0.00015 | $0.00363 |
| Haiku 4.5 | $0.00007 | $0.00181 |
Grade A, and why
pi-dispatch 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 5d 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 — 188 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Pi-Dispatch Skill
Describes how to delegate coding plans to orchestrated teams of pi agents. Claude's role: write JSON → run script → read JSON.
Path convention: {{SKILL_DIR}} = the directory containing this SKILL.md. Resolve it from the file path you used to read this skill. All paths below are relative to {{SKILL_DIR}}.
When to Use
Use pi-dispatch for any pi agent work. Use the native Agent tool for Claude subagents (sonnet/opus/haiku).
Config
{{SKILL_DIR}}/config.json — edit pi_models to swap models, default_timeout_minutes for global default.
{
"provider": "openrouter",
"default_timeout_minutes": 5,
"task_routing": {
"hard": { "pi_tier": "hard" },
"moderate": { "pi_tier": "hard" },
"easy": { "pi_tier": "easy" },
"mechanical": { "pi_tier": "easy" },
"verification": { "pi_tier": "easy" }
},
"pi_models": {
"hard": ["xiaomi/mimo-v2.5-pro", "z-ai/glm-5.1"],
"easy": [
"qwen/qwen3.6-plus",
"deepseek/deepseek-v4-pro",
"z-ai/glm-5-turbo"
]
}
}
Step 1 — Write the dispatch JSON
Write to .pi_agent_dispatch/<YYYYMMDDTHHmmss>.json:
{
"spawned_at": "2026-05-02T10:00:00",
"task": "one-line description",
"agents": [
{
"id": "research",
"task_type": "easy",
"timeout_minutes": 10,
"depends": [],
"prompt": "Full self-contained prompt. End with: \"Output a concise summary of changes made.\"\nUse relative paths — pi runs inside the worktree."
},
{
"id": "implement",
"task_type": "hard",
"depends": ["research"],
"prompt": "..."
},
{
"id": "tests",
"task_type": "easy",
"depends": ["implement"],
"prompt": "..."
},
{
"id": "docs",
"task_type": "mechanical",
"depends": ["implement"],
"prompt": "..."
},
{
"id": "special",
"pi_model": "xiaomi/mimo-v2.5-pro",
"depends": ["tests", "docs"],
"prompt": "..."
}
]
}
What ships with it
12 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- __init__.py 0 B runs code
- config.json 506 B
- config.py 2.0 KB runs code
- dag.py 1.8 KB runs code
- exceptions.py 984 B runs code
- git_ops.py 2.6 KB runs code
- model_selector.py 832 B runs code
- orchestrate.py 440 B runs code
- orchestrator.py 20 KB runs code
- paths.py 1.4 KB runs code
- process.py 1.5 KB runs code
- state.py 4.2 KB runs code
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.
- 5d ago First seen · 188 lines · 73 tokens per session scan A b9a771a3ad4d
pi-dispatch is a skill published in the GitHub repository jakubgajski/pi-dispatch-skill (5 stars, last pushed 2mo ago), licensed MIT. It adds 73 tokens to every session and 1,813 once invoked, about $0.0004 per session on Opus 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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