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.
npx skills add nelsonwerd/idea-to-ship-skills --skill autopilotgit clone --depth 1 https://github.com/nelsonwerd/idea-to-ship-skillsWrote 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/nelsonwerd/idea-to-ship-skills/autopilot)<a href="https://agentmods.dev/skills/nelsonwerd/idea-to-ship-skills/autopilot"><img src="https://agentmods.dev/badge/skills/nelsonwerd/idea-to-ship-skills/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/nelsonwerd/idea-to-ship-skills/autopilot"><img src="https://agentmods.dev/badge/skills/nelsonwerd/idea-to-ship-skills/autopilot.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
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 29 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00219 | $0.03024 |
| Opus 5 | $0.00110 | $0.01512 |
| Sonnet 5 | $0.00044 | $0.00605 |
| Haiku 4.5 | $0.00022 | $0.00302 |
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 11d 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 — 131 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Autopilot — autonomous idea→ship orchestrator
autopilot flies the idea-to-ship pipeline end to end, autonomously, in character as a grounded founder-persona — productizing the "paste one kickoff and the pipeline runs itself" pattern. It takes a real, grounded niche and hands back a near-finish-line-AIMED first-draft product + an honest validation ledger.
It is an orchestrator: it composes the existing skills and never reimplements them. It invokes ideate, deep-dive, prompt-pack, and build-loop, carries each one's file output into the next, and adds only the connective tissue — the autonomy contract, the corrected gate, the kill-ledger, and an honest hand-off. If you find yourself pasting a sub-skill's procedure into this run, stop: invoke the skill instead.
It states its limits in its own text (below) because the whole point is an honest first draft, not an oversold "finished product."
When to use this
Strong triggers — invoke without asking:
- "Run autopilot" / "fly the whole pipeline" / "take this idea→ship autonomously"
- "Spin up a grounded founder-persona and build it" / "autonomous first-draft from this concept/niche"
Softer triggers:
- You have a grounded niche (real lived pain or real data) and want a first-draft product + an honest validation ledger without hand-running each phase.
Do NOT use this for:
- Driving each phase yourself — use
ideate/deep-dive/prompt-pack/build-loopdirectly. - A concept with no real grounding — autopilot will not invent demand to fill the gap (see the firewall in Bounds).
- Market validation — out of scope; that is the human/market handoff.
- A settled code change (
prompt-pack) or a soundness audit (deep-dive).
Routing tie-breaker: autopilot automates the manual tier. Reach for it to fly the pipeline end-to-end with eyes open on the bounds — not to replace human taste, finish, or market judgment.
What it produces — and its honest bounds (read this before you trust it)
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 11d ago First seen · 131 lines · 219 tokens per session scan A b85a192912a1
autopilot is a skill published in the GitHub repository nelsonwerd/idea-to-ship-skills (83 stars, last pushed 1mo ago), licensed MIT. It adds 219 tokens to every session and 3,024 once invoked, about $0.0011 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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