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/openpi-dev/openpi/workflowsnpx skills add openpi-dev/openpi --skill workflowsgit clone --depth 1 https://github.com/openpi-dev/openpiWhat 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 | $0.00047 | $0.00944 |
| Opus 5 | $0.00023 | $0.00472 |
| Sonnet 5 | $0.00009 | $0.00189 |
| Haiku 4.5 | $0.00005 | $0.00094 |
Grade A, and why
workflows 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 2d 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 — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Workflows
Use workflow for several dependent or dynamically generated subagent calls. Keep one small delegation in the parent session with subagent_spawn.
Quick start
export const meta = {
name: "adaptive-review",
phases: [{ title: "Discover" }, { title: "Review" }, { title: "Report" }],
}
phase("Discover")
const plan = await agent("Identify the independent review areas warranted by this repository. Return only real, non-overlapping areas.", {
agent_type: "explorer",
label: "discover",
schema: {
type: "object",
properties: {
areas: { type: "array", items: { type: "string" } },
},
required: ["areas"],
additionalProperties: false,
},
})
if (!plan.ok) return { ok: false, error: plan.error }
const discovered = [...new Set(plan.structured.areas)]
const capacity = usage().limits
if (capacity.callsRemaining < 1) {
return {
planned: discovered.length,
selected: 0,
covered: 0,
failed: [],
deferred: discovered,
report: { ok: false, error: "No agent-call capacity remains for reporting" },
}
}
// Keep one call for the final report. Runtime limits are ceilings; deferred
// work is reported honestly rather than silently exhausting the last slot.
const selected = discovered.slice(0, Math.max(0, capacity.callsRemaining - 1))
const deferred = discovered.slice(selected.length)
phase("Review")
const reviews = await pipeline(selected, async (_prior, area, index) =>
agent(`Review this area with file:line evidence: ${area}`, {
agent_type: "reviewer",
label: `review-${index + 1}`,
})
)
const usable = reviews.filter((result) => result && result.ok && result.ref)
const failed = selected.filter((_area, index) => {
const result = reviews[index]
return !(result && result.ok && result.ref)
})
phase("Report")
const report = await agent(
`Synthesize the review. Planned: ${discovered.length}; selected: ${selected.length}; covered: ${usable.length}; failed areas: ${JSON.stringify(failed)}; deferred areas: ${JSON.stringify(deferred)}. Do not infer coverage beyond these facts.`,
{ agent_type: "advisor", label: "report", inputs: usable.map((r) => r.ref) },
)
return { planned: discovered.length, selected: selected.length, covered: usable.length, failed, deferred, report }
What ships with it
2 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.
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.
- 2d ago First seen · 83 lines · 47 tokens per session scan A 0973e68032fc
workflows is a skill published in the GitHub repository openpi-dev/openpi (100 stars, last pushed 2d ago), licensed MIT. It adds 47 tokens to every session and 944 once invoked, about $0.0002 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 2026-08-30.
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