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提取 B站视频/图文内容并生成摘要 — 下载音频 + ASR 转写 / 图片 OCR、LLM 摘要、飞书推送。关键词：B站视频摘要 / B站图文摘要 / bilibili / ASR / 转写 / OCR / 视频总结

ClawHub Agent Skills author: zify9000 v0.1.0 MIT-0 2 files body ≈ 1 388 tokens Open the sourceclawhub.ai↗ analyzed 34 h ago

提取 B站视频/图文内容并生成摘要 — 下载音频 + ASR 转写 / 图片 OCR、LLM 摘要、飞书推送。关键词：B站视频摘要 / B站图文摘要 / bilibili / ASR / 转写 / OCR / 视频总结

As a process F 41/100 · Will not run — References files that are not bundled: scripts/tmp/summary_result.json, scripts/env/

ProcedureAI and agentstype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
85/100
safety, quality, tests
Safety 60%
100
Quality 40%
63
Run on models
none yet
Process rating
F
41/100
Will not run
References files that are not bundled: scripts/tmp/summary_result.json, scripts/env/
Tools and files w 18
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. 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: 0. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning missing-ref reference to a missing file: scripts/tmp/summary_result.json
  • warning missing-ref reference to a missing file: scripts/env/
  • note frontmatter-key unknown frontmatter key "url"

Process rating: all ten parameters 41/100

Will not run. References files that are not bundled: scripts/tmp/summary_result.json, scripts/env/
  • 0Tools and files. 2 referenced file(s) missing: scripts/tmp/summary_result.json, scripts/env/
  • 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
  • 30Running it twice. 9 mutating operations with no state check
  • 60Result and completion. Output format stated, no completion criterion
  • 100Steps. 21 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1388 tokens

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 109: 120–800 characters recommended
  • +2Single-language instructions
  • +4Structure: 12 headings
  • +3Step-by-step instructions: 21 items
  • +3Output format is stated explicitly
  • +4Has examples (9 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 63.

External checks

ClawHub: suspicious
The skill is transparent about using Bilibili, model APIs, and Feishu, but it forces every agent-run summary to be sent to Feishu even when the user only asked for a summary.
LLM: suspicious (high) · VirusTotal: · 26 Jun 2026