Use when manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.
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Run a security sweep over one repo: secrets, dependencies and the diff, a security review and a silent-failure hunt, one deduped and ranked findings report, issues filed for blocking findings only after GO, each one handed to pb-bug-fix. Use for "security sweep", "audit this repo", "check for leaked secrets and vulnerable deps".
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安装前可以查看交给 AI 代理的指令内容。
What you get: one ranked findings report for the repo (blocking, should, note), an issue per blocking finding filed after your GO on a private repo, and a before-and-after delta from the re-run.
<owner/repo> comes from git -C <repo> remote get-url origindiff (changes against the default branch) or full (the whole tree), asked if missingproduction_artifacts/pb-security-sweep-<date>/findings.md (optional scanners the skill cannot find are logged as skipped by the skill itself) — file written; secret values are never copied into the report, only file and linefindings.md — each finding cites file and linefindings.md — each finding cites file and linefindings.md → one table, each finding blocking, should or note, with id, file, line, source step — stops for approval (the human confirms the ranking and which blocking findings get an issue)gh repo view <owner/repo> --json visibility -q .visibility → run log line — equals PRIVATE; PUBLIC or unknown → no issue is filed, the blocking findings stay in the report only (a secret in a public issue leaks it), logged, steps 6 and 7 skippedgh issue create -R <owner/repo> --title "<title>" --body-file <body> with file, line and impact but no secret value — the WAITING FOR GO line names the finding id and the title. The run stops here until the human types GO. One GO = one issue. (gh issue create is not hooked; this GO is its only guard.)Run log: production_artifacts/pb-security-sweep-<date>.md in the start directory, never committed; the findings file stays in production_artifacts/ and is not staged
curl -sSL https://strix.ai/install | bash, binary strix; first run needs Docker and an LLM API key.strix --target <repo> can complement steps 1-3; its findings go through the same dedupe and rank step.Rules
N. done|skipped|failed — artifact — check result) and WAITING FOR GO: <step> at each gate.还没有评价。欢迎分享你的使用感受。
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Use when manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.
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Use when a hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).
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Reference for how BDB structures autonomous software engineering work — the seven-node dispatcher graph (Architect, TechLead, UI/UX, Engineering, Media/EventTech, Reviewer, Shipping) that /startcycle-graph actually runs. Use when you need the high-level lifecycle framing without inventing your own process.
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Tools are how AI agents interact with the world. A well-designed tool is the difference between an agent that works and one that hallucinates, fails silently, or costs 10x more tokens than necessary. This skill covers tool design from schema to error handling.
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Harness patterns for coding agents — memory, permissions, context engineering, delegation, skills, hooks, bootstrap.
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agenttrail: live map of a multi-agent build in the browser: which plan component is being worked on, by which agent or harness, what is done and what is stuck. Use when a multi-agent pipeline starts (/startcycle, /startcycle-graph, /teamwork-preview) or after a plan-canvas approve, when the user asks to see what the agents are doing ("live map", "build board", "who is running now"), or by yourself whenever a multi-agent run is under way — no user prompt needed.
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