AC majia-meeting-svg
将会议逐字稿或录音转写文本转化为手机端可直接转发的 SVG 会议纪要卡片，并自动转为 PNG 方便分享。产出双方/多方都能用的结构化可视摘要。当用户提供会议录音转写、逐字稿、会议记录并要求生成会议纪要、会议摘要、meeting minutes、会议框架图、SVG 纪要时使用此技能。即使用户只是说「帮我整理一下这个会议」「把这段对话做个纪要」「会议总结一下」，也应触发。
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: 8. 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. 25 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1460 tokens
- 100Running it twice. No mutating operations
- low 11 top-level sections: this looks like several domains in one skill
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
- +5Description has no quoted example phrases that should trigger the skill
- +4Description does not say when NOT to use the skill (false activations)
- +3Output format is not stated: the model decides each time
- +2Single-language instructions
- +3Description length 185: enough signal without eating the budget
- +4Structure: 20 headings
- +3Step-by-step instructions: 25 items
- +4Has examples (11 code blocks)
- +3All 1 scripts are documented
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.
External checks
ClawHub: suspicious
The skill performs the advertised transcript-to-SVG/PNG workflow, but its PNG converter can automatically install a Python package into the host environment without clear upfront disclosure.
LLM: suspicious (high) · 28 Jul 2026