SKILLEMALL.ai

AC bilibili-summarizer

This skill should be used when the user shares a video link (Bilibili/B站, Douyin/抖音, YouTube, Xiaohongshu/小红书) and asks to extract subtitles, summarize the video content, or evaluate its information density. Also supports local video files. Trigger phrases include 总结这个B站视频, 提取字幕, bilibili链接, BV号, 信息密度, 帮我看这个视频, 语音转字幕, 字幕管理, 字幕收藏, 抖音视频总结, 总结抖音, 总结YouTube, 总结小红书, 视频字幕, or any message containing a bilibili.com, douyin.com, youtube.com, xiaohongshu.com, or xhslink.com URL, or a video file path (.mp4/.mkv/.mov).

ClawHub Agent Skills author: zhangligong0826 v3.2.0 MIT-0 11 files body ≈ 2 055 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process C 52/100 · Has gaps — weak spots: result and completion, inputs and preconditions, failures and branches

AnalyzerYouTubeMedia and videotype and topics are labelled automatically from the skill text
JSON
Technical rating
A
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
85
Run on models
none yet
Process rating
C
52/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

    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: 11. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 52/100

    • 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
    • 60Tools and files. Uses tools (python) that frontmatter does not declare
    • 70When it triggers. States when to use, but not when not to
    • 100Steps. 29 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2055 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
    • -233 emoji in the instructions: noise for the model
    • +1No license
    • +2Single-language instructions
    • +3Description length 512: enough signal without eating the budget
    • +4Structure: 22 headings
    • +3Step-by-step instructions: 29 items
    • +4Has examples (15 code blocks)
    • +3All 9 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 85.

    External checks

    ClawHub: clean
    This skill’s video downloading, transcription, summary, frame extraction, and local subtitle storage behavior is disclosed and aligned with its stated purpose.
    LLM: benign (high) · VirusTotal: · 29 May 2026