BF videoAddAudioSubtitle
为视频添加配音和字幕；当用户需要为视频配音并添加字幕、选择字幕样式或自定义字幕样式时使用
为视频添加配音和字幕；当用户需要为视频配音并添加字幕、选择字幕样式或自定义字幕样式时使用
As a process F 31/100 · Will not run — References files that are not bundled: assets/白字黑边.png, assets/黑字白边.png, assets/黄字黑边.png
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- The text references files that are not there: add them or drop the references.
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: 6. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
name-formatname should be kebab-case (lowercase letters, digits, hyphens) - warning
description-no-whendescription does not say WHEN to use the skill (no "use when") - warning
missing-refreference to a missing file: assets/白字黑边.png - warning
missing-refreference to a missing file: assets/黑字白边.png - warning
missing-refreference to a missing file: assets/黄字黑边.png - warning
missing-refreference to a missing file: assets/红字白边.png - warning
missing-refreference to a missing file: assets/黑底白字.png - warning
missing-refreference to a missing file: assets/白底黑字.png - warning
missing-refreference to a missing file: assets/黄底黑字.png - warning
missing-refreference to a missing file: assets/红底白字.png - note
frontmatter-keyunknown frontmatter key "dependency"
Process rating: all ten parameters 31/100
Will not run. References files that are not bundled: assets/白字黑边.png, assets/黑字白边.png, assets/黄字黑边.png
- 0Tools and files. 8 referenced file(s) missing: assets/白字黑边.png, assets/黑字白边.png, assets/黄字黑边.png
- 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
- 40Consistency. Frontmatter name (videoAddAudioSubtitle) differs from the folder (opc-video-subtitle-tool)
- 100Steps. 86 steps
- 100Execution cost. Instruction body is 1258 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
- +5Description has no quoted example phrases that should trigger the skill
- +4Description does not say when NOT to use the skill (false activations)
- +3Description length 44: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +4Structure: 20 headings
- +3Step-by-step instructions: 86 items
- +4Has examples (2 code blocks)
- +4Reference files are cited in the instructions (1 of 1)
- +3All 1 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 58.
External checks
ClawHub: suspicious
This video dubbing skill does what it claims, but it embeds a Coze bearer token and sends user video/text data to a third-party workflow with limited user-facing disclosure.
LLM: suspicious (high) · VirusTotal: · 29 May 2026