Borrowing it
Nothing to install: this file belongs to aiblueprinthq/ai-blueprint. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/aiblueprinthq/ai-blueprint/main/.agents/skills/autopilot/SKILL.mdgit clone --depth 1 https://github.com/aiblueprinthq/ai-blueprintWrote 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/aiblueprinthq/ai-blueprint/autopilot)<a href="https://agentmods.dev/skills/aiblueprinthq/ai-blueprint/autopilot"><img src="https://agentmods.dev/badge/skills/aiblueprinthq/ai-blueprint/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/aiblueprinthq/ai-blueprint/autopilot"><img src="https://agentmods.dev/badge/skills/aiblueprinthq/ai-blueprint/autopilot.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00050 | $0.03887 |
| Opus 5 | $0.00025 | $0.01944 |
| Sonnet 5 | $0.00010 | $0.00777 |
| Haiku 4.5 | $0.00005 | $0.00389 |
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 yesterday.
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 — 372 lines — stays where its author put it; the contents beside it link to each section on GitHub.
autopilot - optional Blueprint loop
Context reuse: Reuse any required file already loaded in project instructions or the current session. Read it again only if absent, changed, or exact current bytes or line references are needed.
First action: Before project inspection, preflight, or any other tool call,
publish running to blueprint/.state/run.json using the dashboard activity
contract in AGENTS.md.
Where this sits in the workflow:
/status -> [autopilot] -> review packet -> /complete
(where (spec, build, (human review, (log, commit,
are we?) configured gates) fixes if needed) merge with approval)
Autopilot is an explicit opt-in path. It uses the same Blueprint files and the same quality gates, but it does not stop after every normal review point. A single user request is permission to run one bounded loop until the feature is ready for review, blocked, or unsafe to continue.
It combines /feature or /fix with /implement and continues through the
spec-review stop retained by the normal workflow. That human spec approval is
the main control Autopilot intentionally removes. It does not remove the final
review packet or the option to walk through the completed code.
It does not replace the normal workflow. /feature, /implement, /check,
and /complete remain the conservative default.
Do not suggest Autopilot as the default next action. Use it only when the user explicitly asks for it.
The explicit Autopilot request is permission to create checkpoint commits on the
feature or fix branch after passing implementation steps when
workflow.checkpointCommits is enabled. It is not permission to merge, push,
deploy, publish, send, delete data, or run destructive actions.
Input
Common forms:
- No argument: resume the current feature if one exists, otherwise target the next unchecked build-plan item.
- A number or name: target that build-plan feature, for example
/autopilot 3or$autopilot "directory listing". fix "<issue>": write and build an ad-hoc fix spec.resume: continue the current feature on its existing branch.
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.
- yesterday Changed · +7 lines d2c2e72b2436
- 4d ago Changed · +15 lines 3096518154d3
- 6d ago Changed · +11 lines a8502caa0d03
- 7d ago Changed · +22 lines · -79 tokens per session 889aeb027296
- 11d ago First seen · 317 lines · 129 tokens per session scan A 7475b59885fc
autopilot is a skill published in the GitHub repository aiblueprinthq/ai-blueprint (393 stars, last pushed 2d ago), licensed MIT. It adds 50 tokens to every session and 3,887 once invoked, about $0.0003 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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