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BD meeting-notes-skill

会议纪要与会议播报生成技能。用于处理会议录音或转写文本，执行发言人区分、口语降噪、议题重构、双钻结构整理，并输出执行摘要、核心决议、Markdown待办表格、TTS播报稿和会议思维导图（HTML/SVG/XMind）。支持双向语音能力：录音转文本（ASR）与文本转录音（TTS）。用户提到“会议纪要”“录音转文字”“文字转语音”“action items”“会后总结”“决议整理”“语音简报/会议播客”“思维导图/脑图”时使用。

ClawHub Agent Skills author: 2813223285 v1.3.1 MIT-0 17 files · 5 scripts body ≈ 2 020 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureInfrastructuretype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
99
Quality 40%
74
Run on models
none yet
Process rating
D
46/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 1

✓ No critical or high findings

Medium and low: 1
  • low Dangerous commands cmd-privilege scripts/bootstrap_macos.sh:35
    Privilege escalation / world-writable permissions (string literal in code, not executed)
    echo "  sudo chown -R \"$(whoami)\" /opt/homebrew/share/pwsh"
    code literal

Files scanned: 16. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 46/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
  • 100Steps. 159 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2020 tokens
  • 100Running it twice. No mutating operations
  • low The response is described with custom markup (18 tags): a typed call is more reliable

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • +4No input/output examples
  • -31 of 10 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 3 example trigger phrases
  • +3Description length 214: enough signal without eating the budget
  • +4Structure: 8 headings
  • +3Step-by-step instructions: 159 items
  • +4Reference files are cited in the instructions (2 of 2)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 74.

External checks

ClawHub: suspicious
The skill is a real meeting-notes tool, but it can auto-install dependencies and send meeting audio or text to cloud services without a clear consent step.
LLM: suspicious (high) · VirusTotal: · 29 May 2026