Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add hg-pyun/claude-code-marketplace/plugin install dev-toolsWrote 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/hg-pyun/claude-code-marketplace/autopilot)<a href="https://agentmods.dev/skills/hg-pyun/claude-code-marketplace/autopilot"><img src="https://agentmods.dev/badge/skills/hg-pyun/claude-code-marketplace/autopilot/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/hg-pyun/claude-code-marketplace/autopilot"><img src="https://agentmods.dev/badge/skills/hg-pyun/claude-code-marketplace/autopilot.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 | $0.00104 | $0.06360 |
| Opus 5 | $0.00052 | $0.03180 |
| Sonnet 5 | $0.00021 | $0.01272 |
| Haiku 4.5 | $0.00010 | $0.00636 |
Grade A, and why
autopilot 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 10d 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 — 216 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Autopilot does NOT do the work itself. It is a conductor: it sequences sibling skills (ralplan, ralph or team) and agent passes (analyst for Phase 1 intake, then test-engineer, executor, verifier, plus the Phase 5 panel), reads each phase's artifact, gates on the next phase's success criterion, and stops at "ready for commit". Commit and PR creation remain the user's call.
<Use_When>
- User invokes "/autopilot", says "autopilot", "build me X", "create me X", "make me X", "I want a/an X".
- The task is large enough to need full lifecycle management (spec + plan + impl + test + validate).
- The user wants hands-off execution: describe WHAT, not HOW.
- An existing
.dt-handoff/<slug>/spec.mdorplan.mdis present and the user wants to resume. </Use_When>
<Do_Not_Use_When>
- The user wants to brainstorm only — answer directly.
- The user wants a single bug fix or a quick edit — delegate to
executor, or work directly. - The user wants only requirements capture with no planning or execution — that is now a standalone concern; run
/interviewto capture the spec first, then run autopilot. - The user wants planning without execution — use
ralplan. - The user wants automatic commit/PR — refuse; autopilot stops at "ready for commit".
- The user has not specified scope at all ("just improve everything") — refuse and ask for a concrete target; Phase 1 intake needs a real idea to analyze. </Do_Not_Use_When>
<Why_This_Exists> Most "build me X" tasks fail not because any single phase was hard, but because phase boundaries leak: requirements drift during planning, plans drift during execution, tests get skipped when execution gets noisy, and validation collapses to "looks fine to me." A conductor that owns the boundaries — reading the previous phase's artifact and refusing to advance until each phase's success criterion is met — closes those leaks.
The five phases mirror how a careful team works: discover, decide, implement, test, validate. Each is a named step with a checkable artifact. Resumption is the common case, so an existing spec/plan short-circuits the early phases.
Two anti-patterns are designed out: (1) self-approval — the verifier agent, not the executor that greened a test, judges whether tests actually pass, on fresh evidence; (2) prose-keyword routing — judgment agents return a machine-readable verdict the conductor routes on deterministically.
The conductor stays thin on purpose. The handoff mechanics (@handoff-in/@handoff-out, descriptors, events.jsonl) are defined once in the handoff protocol; this skill references them rather than re-spelling them per phase.
</Why_This_Exists>
<Execution_Policy>
Output language: phase status reports and the final summary use $LANGUAGE. Section headers stay English. Artifact contents follow each sub-skill's own language rules.
Phase sequencing: phases run STRICTLY sequentially. Never start Phase N+1 until Phase N reports success. Never parallelize phases (the one intra-phase parallel pass is the Phase 5 panel).
Resume / skip (default --resume=auto):
spec.mdpresent → skip Phase 1.plan.mdpresent with Statuspending approvalorapproved→ skip Phases 1–2.prd.jsonpresent with progress → offer resume vs restart.- Confirm the detected resumption point with one
AskUserQuestion(suppressed by--no-prompt).--resume=freshignores existing artifacts and restarts at Phase 1.
Validation model (Phase 5) — gates decide, advisors annotate:
- Gates (a failing gate triggers the gate-failure routing below):
reviewer(verdictREVISE/REJECT),security-auditor(CRITICAL @ HIGH confidence),architect(CRITICAL @ HIGH confidence). With--full-validation,critic(verdictREJECT) and the end-to-endverifier(verdictREVISE/REJECT) join the gates. - Advisors (recorded in
autopilot-validation.md, never block):performance-analystanddoc-writerfindings, andcriticACCEPT_WITH_RESERVATIONS. Advisors run only under--full-validation. The provenance-deferredtest-engineercoverage audit (see Phase 4) joins as a read-only panel member when applicable. - Gate-failure routing: failing findings ≤ 3 AND none architectural → targeted path:
executorapplies targeted fixes →verifierre-verifies withnote: scope=<impacted checks>(always includeBUILD,ERROR_FREEalongside the impacted checks so a targeted fix cannot silently break the build) → re-fire ONLY the failed gate(s). Otherwise (criticREJECT, a design-invalidating verdict, or > 3 findings) → full Phase 3 re-entry with the findings. - Both paths share one cap: max 2 re-entries; on the third failure stop
PHASE5_REJECTED.
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.
- 10d ago First seen · 216 lines · 104 tokens per session scan A 9e9c57d66e38
autopilot is a skill published in the GitHub repository hg-pyun/claude-code-marketplace (2 stars, last pushed 2mo ago), licensed MIT. It adds 104 tokens to every session and 6,360 once invoked, about $0.0005 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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