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.
git clone --depth 1 https://github.com/MatthewYe/opencode-toolboxWrote 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/commands/matthewye/opencode-toolbox/autopilot)<a href="https://agentmods.dev/commands/matthewye/opencode-toolbox/autopilot"><img src="https://agentmods.dev/badge/commands/matthewye/opencode-toolbox/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/commands/matthewye/opencode-toolbox/autopilot"><img src="https://agentmods.dev/badge/commands/matthewye/opencode-toolbox/autopilot.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00066 | $0.08330 |
| Opus 5.5 | $0.00026 | $0.03332 |
| Sonnet 5.5 | $0.00013 | $0.01666 |
| Haiku 4.5 | $0.00007 | $0.00833 |
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.
How it starts
The opening of the file, as written. The whole thing — 550 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Execute the autopilot orchestrator workflow below. Orchestrator MUST include explicit skill tool loading instructions in implementer and reviewer dispatch prompts — see "执行 implementer" and reviewer dispatch sections for the exact preamble format.
Issue 来源识别
autopilot 支持两种 issue 来源。根据 target 参数或扫描结果判断：
| target 特征 | 来源 | 状态机 | 合约文件 |
|---|---|---|---|
包含 / 的路径 |
本地 .scratch/ |
frontmatter Status: |
AGENT-BRIEF.md |
#N 或纯数字 N |
GitHub Issue | labels | issue body（含 AC） |
| 无参数扫描到本地 | 本地 .scratch/ |
frontmatter Status: |
AGENT-BRIEF.md |
| 无参数扫描到 GitHub | GitHub Issue | labels | issue body |
前置约定
本地 issue 模式
target使用绝对路径。如传入相对路径，拼接当前工作目录。issue.md以 YAML frontmatter 开头，Status字段在 frontmatter 中。- 更新 Status：用
edit工具修改 frontmatter 中的Status:行。 - 追加注释：在
## Comments节末尾加- <时间戳> autopilot: <内容>。无该节则在文件末尾创建。 - 合约文件：同目录下
AGENT-BRIEF.md。
GitHub Issue 模式
- 使用
ghCLI 操作 issue。从git remote -v自动推断 repo。 - 状态通过 labels 表达：
in-progress、resolved、needs-info。 - 追加注释用
gh issue comment <N> --body "..."。 - 合约来自 issue body（其中包含 Acceptance Criteria 和 What to build，由
to-issues创建）。 - 读取 issue：
gh issue view <N> --json number,title,body,labels,state。
共用概念
Status: ready-for-agent（本地 frontmatter）↔ labelready-for-agent（GitHub）Status: in-progress↔ labelin-progressStatus: resolved↔ labelresolvedStatus: needs-info↔ labelneeds-info
如果指定了 target
target 是路径（含 /）
- 确认
<target>/issue.md存在，不存在则报告错误并停止 - 确认
<target>/AGENT-BRIEF.md存在，不存在则报告错误并停止 - 读取
<target>/issue.md，检查Status:是否为ready-for-agent或in-progress - 非以上状态 → 回复当前状态并停止
- 更新 Status 为
in-progress - 设置
source = "local",id = <target> - 从
<target>推断 feature 目录（取 issue 目录的父级父级，如.scratch/auth/issues/01-login/→.scratch/auth/） - 设置
contract = <target>/AGENT-BRIEF.md的内容作为合约文本 - 跳到"交叉 Issue Suggestion 匹配"
target 是 GitHub issue 号（#N 或纯数字 N）
提取数字部分为 issueNumber：
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.
- 1mo ago First seen · 550 lines · 66 tokens per session scan A 3b1df8854083
autopilot is a command published in the GitHub repository MatthewYe/opencode-toolbox (5 stars, last pushed 3mo ago), licensed MIT. It adds 66 tokens to every session and 8,330 once invoked, about $0.0003 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.
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