autopilot

autopilot is a skill for Claude Code from 0xrafasec/ai-workflow. It costs 120 tokens per session (3,599 once invoked), scanned A, original, MIT.

An autonomous workflow for delivering every task in a software roadmap. It has agents develop and review changes in separate worktrees, then merges reviewed changes into the main branch.

In plain words
What is it for?
Use it to run a roadmap phase by phase, implement its tasks, review the changes, fix review findings, and merge approved work.
Why use it?
It removes the need to coordinate each roadmap task manually or stop for approval between phases. It can continue until the roadmap is delivered or a genuine blocker appears.

Skill for Claude Code

Written for Claude Code: $ARGUMENTS substitution. Also seen: mentions CLAUDE.md.

Good fit Use it to run a roadmap phase by phase, implement its tasks, review the changes, fix review findings, and merge approved work.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/0xrafasec/ai-workflow/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 0xrafasec/ai-workflow --skill autopilot
Clone the repo
git clone --depth 1 https://github.com/0xrafasec/ai-workflow

Made for: Claude Code.

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/0xrafasec/ai-workflow/autopilot/github.svg)](https://agentmods.dev/skills/0xrafasec/ai-workflow/autopilot)
Your own site
<a href="https://agentmods.dev/skills/0xrafasec/ai-workflow/autopilot"><img src="https://agentmods.dev/badge/skills/0xrafasec/ai-workflow/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/0xrafasec/ai-workflow/autopilot"><img src="https://agentmods.dev/badge/skills/0xrafasec/ai-workflow/autopilot.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 120 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,599 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. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Excessive Agency · line 249
    Skill allows unbounded resource consumption (API calls, storage, compute). Without rate limits or quotas, a compromised or misbehaving agent can cause denial-of-service or cost overruns.
    Fix: Set explicit rate limits, timeouts, and resource quotas for API calls, file operations, and compute. Implement circuit breakers for runaway loops.
How audits are shown
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 $0.00120 $0.03599
Opus 5.5 $0.00048 $0.01440
Sonnet 5.5 $0.00024 $0.00720
Haiku 4.5 $0.00012 $0.00360

Measured 1mo ago against content hash 73946b612964, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, 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 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.

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.

skills/autopilot/SKILL.md · 272 lines

How it starts

The opening of the file, as written. The whole thing — 272 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Execute the roadmap at: $ARGUMENTS

What autopilot is

Autopilot is autonomous, end-to-end roadmap delivery. You read a roadmap and, for every task in every phase, you run the full delivery pipeline yourself — develop → review → fix → merge to main — looping until the roadmap is delivered or a genuine blocker stops you. The default is no human checkpoint: autopilot self-merges each reviewed, green PR to main and moves on. "Autopilot should be autopilot."

This is the deliberate difference from /factory, which builds one milestone's PRs and stops with them open for a human to merge. Autopilot does merge — invoking it in the default (autonomous) mode is the user granting that merge authority. If the user wants the old stop-at-every-phase behaviour, they pass --supervised (see Modes).

You are still an orchestrator: you do not implement or review code yourself. You parse the roadmap, dispatch worktree agents for development, dispatch fresh-context agents for review, triage their verdicts, perform the mechanical git merge, update roadmap status, and loop. The merge is the one state-changing action you perform directly; everything intellectual is delegated.

Modes

  • autonomous (default) — develop, review, fix, and merge to main for every task, phase after phase, with no human gate. Only stop on a genuine blocker (see Stop conditions).
  • --supervised — run each phase, but stop at the phase boundary with PRs open and hand them to the human to review + merge before continuing (the pre-0.7 behaviour). Use when the user says "let me review before merge", the repo has protected branches requiring human approval, or the work is high-stakes.

Detect the mode from $ARGUMENTS (a --supervised token) or from explicit user intent. When in doubt for a brand-new/unfamiliar repo, ask once which mode they want, then proceed.

Process

1. Parse the roadmap

Read the roadmap file. For each phase extract:

  • Phase name and goal, and any feature flag the phase ships behind.
  • Tasks — each with: name, spec path, files touched, dependencies, verification command, test layers. complexity:high tasks point at a sliced spec directory — each slice is its own task/PR; expand them.
  • Which tasks run in parallel (no file overlap, no dependency between them) vs sequential (depend on another task in the same phase).

Read the full file on GitHub · 272 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 · 272 lines · 120 tokens per session scan A 73946b612964

Subscribe to this mod's changes

autopilot is a skill published in the GitHub repository 0xrafasec/ai-workflow (9 stars, last pushed 1mo ago), licensed MIT. It adds 120 tokens to every session and 3,599 once invoked, about $0.0005 per session on Opus 5.5. 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.