AC meeting-kb-skill
基于腾讯会议(tmeet)多场会议的智能纪要与转写，把分散的会议决策、结论、行动项与风险沉淀为可检索的知识库，实现"周报/复盘/面试/培训一气呵成"的跨场景串联。当用户说"沉淀会议知识""跨会议检索""建个会议知识库""之前会议怎么定的"时触发。
基于腾讯会议(tmeet)多场会议的智能纪要与转写，把分散的会议决策、结论、行动项与风险沉淀为可检索的知识库，实现"周报/复盘/面试/培训一气呵成"的跨场景串联。当用户说"沉淀会议知识""跨会议检索""建个会议知识库""之前会议怎么定的"时触发。
As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- 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 · 0
✓ No critical or high findings
Files scanned: 0. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when")
Process rating: all ten parameters 53/100
- 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
- 100Tools and files. No external tools needed
- 100Steps. 19 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 657 tokens
- 100Running it twice. No mutating operations
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
- +1No license
- +2Single-language instructions
- +5Description quotes 4 example trigger phrases
- +3Description length 123: enough signal without eating the budget
- +4Structure: 8 headings
- +3Step-by-step instructions: 19 items
- +4Has examples (1 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.
External checks
ClawHub: suspicious
The skill’s meeting knowledge-base purpose is coherent, but it can aggregate sensitive meeting records from Tencent Meeting or local notes into a persistent index from broad prompts without clear scope confirmation.
LLM: suspicious (high) · 21 Jul 2026