autopilot

autopilot is a skill for Claude Code from hg-pyun/claude-code-marketplace. It costs 104 tokens per session (6,360 once invoked), scanned A, original, MIT.

A workflow conductor that moves a large software idea through requirements, planning, implementation, testing, and review. It coordinates other agent skills and stops when the work is ready for a human to commit.

In plain words
What is it for?
Use it for substantial feature requests such as “build me” or “create me,” especially when you want the full path from idea to tested, reviewed code.
Why use it?
It organizes multi-step development work and checks each phase before allowing the next one to begin, while leaving commits and pull requests under the user's control.

Skill for Claude Code

Written for Claude Code: ${CLAUDE_PLUGIN_ROOT} variable. Also seen: names the AskUserQuestion tool.

Runs only inside its plugin — its command needs a path that Claude Code sets for a plugin’s own hooks and for nothing else. Install the plugin, not this.

Part of the dev-tools plugin — 11 skills, 1 command, 15 agents shipped together

Good fit Use it for substantial feature requests such as “build me” or “create me,” especially when you want the full path from idea to tested, reviewed code.

Compare 6 skills from other repositories ↓
Install

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.

Claude Code
/plugin marketplace add hg-pyun/claude-code-marketplace
Claude Code
/plugin install dev-tools

Made for: Claude Code.

Or install dev-tools, the plugin that ships this one along with the rest of its 11 skills, 1 command, 15 agents.

Wrote 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.

agentmods badge for autopilot

README.md
[![agentmods](https://agentmods.dev/badge/skills/hg-pyun/claude-code-marketplace/autopilot/github.svg)](https://agentmods.dev/skills/hg-pyun/claude-code-marketplace/autopilot)
Your own site
<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.

agentmods 80×15 button for autopilot

Your own site · 80×15
<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>
Per session 104 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 6,360 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce 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

Measured 10d ago against content hash 9e9c57d66e38, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

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.

plugins/dev-tools/skills/autopilot/SKILL.md · 216 lines

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.md or plan.md is 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 /interview to 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.md present → skip Phase 1.
  • plan.md present with Status pending approval or approved → skip Phases 1–2.
  • prd.json present with progress → offer resume vs restart.
  • Confirm the detected resumption point with one AskUserQuestion (suppressed by --no-prompt). --resume=fresh ignores 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 (verdict REVISE/REJECT), security-auditor (CRITICAL @ HIGH confidence), architect (CRITICAL @ HIGH confidence). With --full-validation, critic (verdict REJECT) and the end-to-end verifier (verdict REVISE/REJECT) join the gates.
  • Advisors (recorded in autopilot-validation.md, never block): performance-analyst and doc-writer findings, and critic ACCEPT_WITH_RESERVATIONS. Advisors run only under --full-validation. The provenance-deferred test-engineer coverage audit (see Phase 4) joins as a read-only panel member when applicable.
  • Gate-failure routing: failing findings ≤ 3 AND none architectural → targeted path: executor applies targeted fixes → verifier re-verifies with note: scope=<impacted checks> (always include BUILD,ERROR_FREE alongside the impacted checks so a targeted fix cannot silently break the build) → re-fire ONLY the failed gate(s). Otherwise (critic REJECT, 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.

Read the full file on GitHub · 216 lines

Changes

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.

  1. 10d ago First seen · 216 lines · 104 tokens per session scan A 9e9c57d66e38

Subscribe to this mod's changes

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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