BC ppt-speech-fusion
会议录音转写 + 材料融合演讲复原稿 PDF，支持 PPT / 图片 / PDF 作为配套材料。语音转文字 / 音频转文字 / 录音转写 / 会议纪要 / 逐字稿 / 文字稿 / 对话转写 / 汇报稿 / PPT配音 / 演讲复原稿 / 录音转PPT / 音频PPT融合 / 图片转讲稿。说「整理会议录音」「录音转文字」「语音识别」「PPT演讲稿」即可触发；先问有无配套材料，无材料也可立即转写输出会议纪要 Word 或纯文本 txt，有材料则生成逐页对齐演讲复原稿 PDF。基于 OpenAI Whisper 中文转写引擎，输出格式可选 PDF / Word / txt。
会议录音转写 + 材料融合演讲复原稿 PDF，支持 PPT / 图片 / PDF 作为配套材料。语音转文字 / 音频转文字 / 录音转写 / 会议纪要 / 逐字稿 / 文字稿 / 对话转写 / 汇报稿 / PPT配音 / 演讲复原稿 / 录音转PPT / 音频PPT融合 /…
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.
- 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: 3. 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") - note
frontmatter-keyunknown frontmatter key "slug" - note
frontmatter-keyunknown frontmatter key "displayName"
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. 20 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2473 tokens
- 100Running it twice. No mutating operations
- low 26 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
- -285 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +3Description length 287: enough signal without eating the budget
- +4Structure: 45 headings
- +3Step-by-step instructions: 20 items
- +4Has examples (10 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 68.