BF byted-mediakit-voiceover-editing
Volcano Engine AI MediaKit talking-head video editing Skill: a one-stop workflow from environment setup through media management, audio processing, talking-head cuts, video export, review UI, and iterative refinement. You MUST invoke this Skill when the user mentions talking-head editing, cutting talking video, video editing, removing pauses, processing audio, exporting talking video, automatic editing, removing verbal slips, or similar. Also invoke when the user uploads video or audio and asks for editing.
As a process F 39/100 · Will not run — References files that are not bundled: references/执行步骤/1.%20环境检查.md, references/执行步骤/2.%20语气词提示与用户行为更新.md, references/执行步骤/3.%20URL到ASR流水线与候选生成.md
How to improve
- The text references files that are not there: add them or drop the references.
- 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: 59. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
missing-refreference to a missing file: references/执行步骤/1.%20环境检查.md - warning
missing-refreference to a missing file: references/执行步骤/2.%20语气词提示与用户行为更新.md - warning
missing-refreference to a missing file: references/执行步骤/3.%20URL到ASR流水线与候选生成.md - warning
missing-refreference to a missing file: references/执行步骤/4.%20ASR语义纠错.md - warning
missing-refreference to a missing file: references/执行步骤/5.%20口播剪辑.md - warning
missing-refreference to a missing file: references/执行步骤/5.5%20审核逻辑确认.md - warning
missing-refreference to a missing file: references/执行步骤/6a.%20数据预处理.md - warning
missing-refreference to a missing file: references/执行步骤/6b.%20审核与导出.md - warning
missing-refreference to a missing file: references/执行步骤/6c.%20VOD导出任务提交与查询.md - note
frontmatter-keyunknown frontmatter key "display_name" - note
frontmatter-keyunknown frontmatter key "env" - note
frontmatter-keyunknown frontmatter key "permissions" - note
frontmatter-keyunknown frontmatter key "triggers"
Process rating: all ten parameters 39/100
- 0Tools and files. 9 referenced file(s) missing: references/执行步骤/1.%20环境检查.md, references/执行步骤/2.%20语气词提示与用户行为更新.md, references/执行步骤/3.%20URL到ASR流水线与候选生成.md
- 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
- 30Running it twice. 5 mutating operations with no state check
- 70When it triggers. States when to use, but not when not to
- 100Steps. 34 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1772 tokens
- low The response is described with custom markup (4 tags): a typed call is more reliable
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
- -2localhost URLs: will not work for another user
- -316 of 24 scripts are never mentioned in SKILL.md
- +2Single-language instructions
- +3Description length 512: enough signal without eating the budget
- +4Structure: 21 headings
- +3Step-by-step instructions: 34 items
- +4Has examples (1 code blocks)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 65.