BF video-deconstruct
把一段抖音/小红书短视频拆成「故事 + 心理学」式爆款拆解报告——选题/一句话总结/内容描述/视频结构(开头-中间-结尾)/事件推进/落幕文案/受众启示/核心爆点/节奏/BGM。给运营拍同款、写脚本、做分镜时直接当弹药。当用户说"拆解视频""分析这条视频""帮我看这段抖音""短视频结构""卡点在哪""这条爆款怎么火的"时触发。输入：本地 mp4 文件路径。输出：output/ 目录下一份 markdown 报告 + 一份原始 JSON。
As a process F 35/100 · Will not run — References files that are not bundled: templates/report.md.j2
ProcedureInfrastructureMedia and videotype and topics are labelled automatically from the skill text
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: 16. 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") - warning
missing-refreference to a missing file: templates/report.md.j2 - note
frontmatter-keyunknown frontmatter key "runtime" - note
frontmatter-keyunknown frontmatter key "framework" - note
frontmatter-keyunknown frontmatter key "models" - note
frontmatter-keyunknown frontmatter key "requires" - note
frontmatter-keyunknown frontmatter key "env" - note
frontmatter-keyunknown frontmatter key "inputs" - note
frontmatter-keyunknown frontmatter key "outputs" - note
frontmatter-keyunknown frontmatter key "triggers"
Process rating: all ten parameters 35/100
Will not run. References files that are not bundled: templates/report.md.j2
- 0Tools and files. 1 referenced file(s) missing: templates/report.md.j2
- 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
- 100Steps. 23 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 429 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
- -33 of 5 scripts are never mentioned in SKILL.md
- +2Single-language instructions
- +5Description quotes 3 example trigger phrases
- +3Description length 220: enough signal without eating the budget
- +4Structure: 6 headings
- +3Step-by-step instructions: 23 items
- +4Has examples (1 code blocks)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 66.
External checks
ClawHub: suspicious
This skill appears to do its stated video-analysis job, but it should be reviewed carefully because it uploads private media to StepFun and includes unsafe credential-handling guidance.
LLM: suspicious (high) · VirusTotal: · 29 May 2026