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 agentmods add skills/winterddo/claude-code-skill-autopilot/confignpx skills add WinterDDo/claude-code-skill-autopilot --skill configgit clone --depth 1 https://github.com/WinterDDo/claude-code-skill-autopilotWrote 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/winterddo/claude-code-skill-autopilot/config)<a href="https://agentmods.dev/skills/winterddo/claude-code-skill-autopilot/config"><img src="https://agentmods.dev/badge/skills/winterddo/claude-code-skill-autopilot/config.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00079 | $0.00342 |
| Opus 5 | $0.00039 | $0.00171 |
| Sonnet 5 | $0.00016 | $0.00068 |
| Haiku 4.5 | $0.00008 | $0.00034 |
Grade A, and why
config scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Autopilot settings
Map the user's request to one command, run it, read the value back, confirm in one line.
python3 "${CLAUDE_PLUGIN_ROOT}/scripts/config.py" "$HOME/.claude/command-autopilot" get
python3 "${CLAUDE_PLUGIN_ROOT}/scripts/config.py" "$HOME/.claude/command-autopilot" set <key> <value>
| User intent | Setting |
|---|---|
| "太烦了 / too noisy / stop suggesting" | set aggressiveness quiet (silent help + /rewind safety only) |
| "完全闭嘴 / mute it" | set muted true (zero injection, zero tokens) |
| "把提示打开 / teach me again" | set aggressiveness teaching |
| "正常模式" | set aggressiveness normal |
| "中文提示 / English guidance" | set language zh / set language en |
| "别自动进计划模式" | set enable_plan_gate false |
Always mention: changes take effect from the next message, no restart needed. If the user muted it, tell them the one phrase that brings it back ("unmute autopilot").
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.
- 4d ago First seen · 27 lines · 79 tokens per session scan A 96f5a2604a42
config is a skill published in the GitHub repository WinterDDo/claude-code-skill-autopilot (6 stars, last pushed 2mo ago), licensed MIT. It adds 79 tokens to every session and 342 once invoked, about $0.0004 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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