SKILLEMALL.ai
GitHub ↗ RU Sign in

BC bilibili-video-analysis

从主题搜索、B站当前热门或热搜、给定视频的关联推荐或具体视频开始，把视频正文、画面、弹幕、评论和回复转化为可回查的学习与研究结果。适用于查找和比较B站视频、总结教程与观点、拆解视觉表达、分析观众反馈，以及用户明确提出的产品或市场研究；Skill 按目标获取最小证据，并在数据不足时明确降级。

ClawHub Agent Skills author: zeng v0.1.0 MIT-0 80 files body ≈ 1 691 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

从主题搜索、B站当前热门或热搜、给定视频的关联推荐或具体视频开始，把视频正文、画面、弹幕、评论和回复转化为可回查的学习与研究结果。适用于查找和比较B站视频、总结教程与观点、拆解视觉表达、分析观众反馈，以及用户明确提出的产品或市场研究；Skill 按目标获取最小证据，并在数据不足时明确降级。

As a process C 51/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

AnalyzerMedia and videotype 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
87/100
safety, quality, tests
Safety 60%
95
Quality 40%
74
Run on models
none yet
Process rating
C
51/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
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.
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 · 5

✓ No critical or high findings

Medium and low: 5
  • low Secrets in code secret-high-entropy-token package-lock.json:44
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…qkQ+BMQq…Lqg==",
    detector
  • low Secrets in code secret-high-entropy-token package-lock.json:78
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…Lkx+esve…s1Q==",
    detector
  • low Secrets in code secret-high-entropy-token package-lock.json:95
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…7xp+Ksxi…Vkw==",
    detector
  • low Secrets in code secret-high-entropy-token package-lock.json:299
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…TZM+N3P0…O90+1bZv…F8A/HQ==",
    detector
  • low Secrets in code secret-high-entropy-token package-lock.json:401
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…mVs+YKyp…f7g==",
    detector

Files scanned: 79. 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")

Process rating: all ten parameters 51/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 50Failures and branches. 0 branches, has a failure section
  • 60Tools and files. Uses tools (python) that frontmatter does not declare
  • 100Steps. 68 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1691 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)
  • +3Output format is not stated: the model decides each time
  • -32 of 2 scripts are never mentioned in SKILL.md
  • +2Single-language instructions
  • +3Description length 145: enough signal without eating the budget
  • +4Structure: 16 headings
  • +3Step-by-step instructions: 68 items
  • +4Has examples (2 code blocks)
  • +4Reference files are cited in the instructions (4 of 9)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 74.

External checks

ClawHub: clean
This skill coherently fetches public Bilibili video data for analysis, with optional local media and speech-recognition setup that is disclosed and user-gated.
LLM: benign (high) · VirusTotal: · 3 Sept 2026