SKILLEMALL.ai

AB douyin-video-analysis

抖音视频分析流水线:输入抖音链接后,自动/半自动抓取页面信息与音频、转写口播、总结内容、提取有用信息与对应证据、进行批判性思维分析,并把转写与分析结果写入 Obsidian。 / Analyze a Douyin video from a shared URL by extracting page metadata, capturing audio when possible, transcribing speech into readable text, summarizing content, extracting useful information plus evidence, applying critical analysis, and saving both transcript and analysis into Obsidian.

ClawHub Agent Skills author: zzmbobby v0.1.4 MIT-0 13 files body ≈ 1 291 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process B 72/100 · Nearly there — weak spots: running it twice

AnalyzerObsidianMedia and videoInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
93/100
safety, quality, tests
Safety 60%
100
Quality 40%
83
Run on models
none yet
Process rating
B
72/100
Nearly there
Running it twice w 4
30
Tools and files w 18
60
Steps w 15
60
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: 13. 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 72/100

    • 30Running it twice. 3 mutating operations with no state check
    • 60Tools and files. Uses tools (web, python) that frontmatter does not declare
    • 60Steps. 89 steps, 5 vague phrases
    • 60Result and completion. Output format stated, no completion criterion
    • 70When it triggers. States when to use, but not when not to
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Failures and branches. 2 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1291 tokens
    • 100Progress reporting. Reports progress

    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)
    • -4Absolute local paths (C:\Users, /home/…): not portable
    • +1No license
    • +2Single-language instructions
    • +3Description length 379: enough signal without eating the budget
    • +4Structure: 22 headings
    • +3Step-by-step instructions: 89 items
    • +3Output format is stated explicitly
    • +4Has examples (2 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 83.

    External checks

    ClawHub: suspicious
    This skill appears purpose-aligned, but it reuses browser session cookies to download media and writes persistent local notes without enough user control or scoping.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026