Use when manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.
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hybridlabor-api/aos62026년 10월 16일 업데이트
무료GitHub에 공개
submission-qa
Verification methodology and gate checklist for the tdmcp Connectors Directory submission — run the docs build, build and inspect the .mcpb bundle, sweep for stale .dxt references, and cross-check the form-answer draft against the real requirements. Use to validate the submission package before a human submits, by executing commands and quoting evidence, not by trusting that work was done.
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설치 방법 보기포함된 파일(1)
- SKILL.md3.4 KB
SKILL.md(원문)
설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Submission QA — verify by executing
The cost of a miss is a ~2-week rejection cycle. So every gate is checked by running something and quoting the output, never by reading a builder's claim. "Looks complete" is not a result; a command transcript is.
Gate checklist
Produce a table gate | PASS/FAIL | evidence. Gates:
| Gate | How to verify |
|---|---|
| Privacy page exists + linked | Open the page file(s); confirm the nav entry in docs/.vitepress/config.ts points to its clean URL. Confirm the page actually states the data-handling story (not a stub). |
| Docs build | npm run docs:build exits 0. VitePress fails on dead internal links, so this also catches a bad nav link. |
| Bundle builds | npm run build then npm run build:mcpb (or the renamed script). Confirm tdmcp.mcpb is emitted. |
| Bundle is valid | unzip -l tdmcp.mcpb shows manifest.json at root + dist/. If npx --yes @anthropic-ai/mcpb validate exists, run it on the manifest and capture the result. |
| No stale refs | grep -rn "\.dxt|build:dxt" docs/ scripts/ README.md package.json .github/ 2>/dev/null (exclude dist/, node_modules/). Every hit must be an intentional legacy note. |
| Annotations intact | `grep -rEo "readOnlyHint |
| Form completeness | Every field in 00_submission-spec.md's field map has an answer in 02_form-answers.md or an explicit NEEDS HUMAN INPUT. List the human inputs. |
| Manifest sane | node -e "JSON.parse(require('fs').readFileSync('dxt/manifest.json'))" parses; manifest_version, name, version, server.entry_point present. |
Report format
Write _workspace/03_qa-report.md:
- Gate table (above) with command output as evidence.
- Blocking issues — anything FAIL. Each with the exact file:line or command and what the owner (docs-author / bundle-engineer) must change.
- Non-blocking nits — cosmetic / nice-to-have.
- Needs human before submit — every
NEEDS HUMAN INPUT(support email, privacy contact, test account, new release to publish the.mcpbasset).
Principles
- You need to run scripts, so operate with
general-purposecapability, not a read-only profile. - Incremental: when a gate fails, report it precisely and (on re-run) re-execute only the affected check rather than the whole suite.
- Don't fix. Independent verification is your value — hand fixes back to the owning agent. If you fix and verify your own fix, the check is no longer independent.
- Cross the boundary. The high-value check isn't "does the file exist" — it's
"does the form answer match what the page/manifest/repo actually says". E.g.
the privacy URL in
02_form-answers.mdmust resolve to the page docs-author actually created; the tool list in the form must matchsrc/tools/**.
리뷰
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같은 저장소의 스킬
Use when a hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).
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hybridlabor-api/aos62026년 10월 16일 업데이트
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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hybridlabor-api/aos62026년 10월 16일 업데이트
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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hybridlabor-api/aos62026년 10월 16일 업데이트
Harness patterns for coding agents — memory, permissions, context engineering, delegation, skills, hooks, bootstrap.
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hybridlabor-api/aos62026년 10월 16일 업데이트
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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hybridlabor-api/aos62026년 10월 16일 업데이트