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AD bilibili-reader

B站收藏夹视频智能总结：随机选取收藏视频，阅读字幕/评论/弹幕，生成中英双语总结PDF

ClawHub Hermes author: Ma Zihang v1.0.4 MIT-0 55 files body ≈ 3 778 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process D 40/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureInfrastructuretype and topics are labelled automatically from the skill text
Runs in: OpenClaw Hermes Agent
JSON
Technical rating
A
93/100
safety, quality, tests
Safety 60%
98
Quality 40%
86
Run on models
none yet
Process rating
D
40/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Consistency w 8
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 · 2

    ✓ No critical or high findings

    Medium and low: 2
    • low Exfiltration read-dotenv INSTALL.md:69
      Reads a .env file
      cp .env.example .env
    • low Secrets in code secret-high-entropy-token SKILL.md:320
      High-entropy token-like string (may be an id, hash or a credential)
      2026…7mD_视频标题.pdf

    Files scanned: 55. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "prerequisites"

    Process rating: all ten parameters 40/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Consistency. Frontmatter name (bilibili-reader) differs from the folder (bilibili-reader-skill)
    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 1 mutating operations with no state check
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (bash, web, python) that frontmatter does not declare
    • 100Steps. 120 steps
    • 100Execution cost. Instruction body is 3778 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 43: 120–800 characters recommended
    • +3Output format is not stated: the model decides each time
    • -213 emoji in the instructions: noise for the model
    • +2Single-language instructions
    • +4Structure: 38 headings
    • +3Step-by-step instructions: 120 items
    • +4Has examples (20 code blocks)
    • +4Reference files are cited in the instructions (1 of 2)
    • +3All 3 scripts are documented
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 86.

    External checks

    ClawHub: suspicious
    The skill is coherent for summarizing Bilibili favorites, but it deserves review because it stores reusable Bilibili login cookies in plaintext and can hand generated PDFs to external chat platforms.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026