AC toolfolio
分析视频文件的运镜方式并生成 AI 视频生成提示词。上传视频后自动检测镜头切分、识别运镜方式（推/拉/摇/移/变焦/环绕/手持等 14 种）、为每个镜头生成英文 AI 生成提示词。Use when: 用户发来视频文件并要求分析运镜、分析镜头、生成提示词、拆镜、或说 "分析这个视频"、"帮我拆镜"、"这个视频用了什么运镜"、"toolfolio"。支持 mp4、avi、mov、mkv、webm 格式。
As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
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: 3. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
frontmatter-yamlSKILL.md: the frontmatter is not valid YAML (YAML parse error: Nested mappings are not allowed in compact mappings at line 2, column 14: description: 分析视频文件的运镜方式并生成 AI 视频生成提示词。上传视频后自动检测镜头切分、识别运镜方式（推/拉/摇/移/变焦/环绕/手持等 1… ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value
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. 4 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 113 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 3 example trigger phrases
- +3Description length 201: enough signal without eating the budget
- +4Structure: 4 headings
- +3Step-by-step instructions: 4 items
- +4Has examples (3 code blocks)
- +3All 1 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 82.
External checks
ClawHub: clean
The skill appears to be a video analysis and prompt-writing helper; the flagged issues are usability and consent concerns, not evidence of malicious behavior.
LLM: benign (medium) · VirusTotal: · 29 May 2026