autopilot

autopilot is a skill for Claude Code from duthaho/skillhub. It costs 95 tokens per session (2,590 once invoked), scanned C, original, MIT.

An automated coding workflow that maps a task, plans it, creates GitHub issues, implements changes in separate workspaces, reviews them, and opens one pull request. A pull request is a proposed code change for review; unresolved decisions are parked instead of guessed.

In plain words
What is it for?
Use it to run a complete coding task through an open pull request, resume interrupted work, check active runs, or merge after all gates pass.
Why use it?
It lets you approve the task once while retaining tests, fresh reviews, and a clear record of what the automation could or could not resolve.

Skill for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter. Also seen: mentions subagents; names the AskUserQuestion tool; mentions AGENTS.md.

Part of the coding-loop plugin — 8 skills shipped together

Good fit Use it to run a complete coding task through an open pull request, resume interrupted work, check active runs, or merge after all gates pass.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/duthaho/skillhub/autopilot
Install

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.

Any agent
npx skills add duthaho/skillhub --skill autopilot
Clone the repo
git clone --depth 1 https://github.com/duthaho/skillhub

Made for: Claude Code.

Or install coding-loop, the plugin that ships this one along with the rest of its 8 skills.

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/duthaho/skillhub/autopilot/github.svg)](https://agentmods.dev/skills/duthaho/skillhub/autopilot)
Your own site
<a href="https://agentmods.dev/skills/duthaho/skillhub/autopilot"><img src="https://agentmods.dev/badge/skills/duthaho/skillhub/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/duthaho/skillhub/autopilot"><img src="https://agentmods.dev/badge/skills/duthaho/skillhub/autopilot.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 95 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,590 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 1 finding. 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 $0.00095 $0.02590
Opus 5.5 $0.00038 $0.01036
Sonnet 5.5 $0.00019 $0.00518
Haiku 4.5 $0.00010 $0.00259

Measured 1mo ago against content hash bb47515900a6, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade C, and why

autopilot scanned grade C with 1 finding 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.

Tells the agent never to refusehighAnti-refusal

Suppressing the ability to decline removes a core safety control; a later harmful request then succeeds.

`pyproject.toml`, CI config). **No test suite?** Don't refuse — schedule a
.claude/skills/autopilot/SKILL.md · 202 lines

How it starts

The opening of the file, as written. The whole thing — 202 lines — stays where its author put it; the contents beside it link to each section on GitHub.

autopilot — the whole loop, one yes

/autopilot <task> — run the full pipeline, stop at an open PR /autopilot <task> --merge — also merge, once every gate is green /autopilot resume <change> — pick up a crashed, aborted, or parked run /autopilot status — report runs in flight under out/dev/

Answer one question: what would come back if this task were handed to a careful team and nobody watched over their shoulder? The other coding skills put a human at every gate; this one replaces those gates with the things that made them work — fresh-context review, diverse critique, and a test suite as the arbiter — and reserves the human for exceptions. Human on the loop, not in it: you sign once, you get a PR, and anything the pipeline couldn't settle honestly comes back parked, not guessed.

The charter — one yes, spelled out

The invocation is the consent. Echo this before running, then don't ask again:

  • WILL: read anything in the repo; write state under out/dev/<slug>/; create GitHub issues labeled autopilot; create and push branches autopilot/<slug>/*; open one PR; comment on and close its own issues; with --merge, merge that PR once every gate is green.
  • NEVER: push to the default branch directly, force-push, rewrite history, delete branches or issues it didn't create, weaken a test to get green, or touch anything outside this repo.

Auto mode — how the other skills run here

Autopilot drives map, feature, and done in auto mode, a shared convention: every approval gate becomes a self-approval on the record — the decision and its reason are appended to log.md instead of asked — and every verdict that would need a human becomes a PARK. The skills' own rules (task sizing, TDD, tripwires, never-weaken-tests) are unchanged; only the waiting is removed. In auto mode the run never calls a tool that stops to wait on a human — AskUserQuestion first among them (waiting on sub-agents or commands is fine): with nobody watching, such a call isn't a question, it's a deadlock. A decision only a human can settle is parked with the decision spelled out — never waited on, never guessed.

Read the full file on GitHub · 202 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. 1mo ago First seen · 202 lines · 95 tokens per session scan C bb47515900a6

Subscribe to this mod's changes

autopilot is a skill published in the GitHub repository duthaho/skillhub (9 stars, last pushed 1mo ago), licensed MIT. It adds 95 tokens to every session and 2,590 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it C with 1 finding (tells the agent never to refuse). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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