SKILLEMALL.ai

BC bilibili-up-to-kb

Convert Bilibili (B站) videos into a searchable text knowledge base. Supports single videos and batch processing of entire UP主 channels. Uses local whisper.cpp for transcription (no API key needed). Includes automated transcript cleaning to fix ASR errors with full paragraph-level coverage. Use when: (1) user wants to transcribe a Bilibili video, (2) user wants to build a knowledge base from a channel, (3) user sends a bilibili.com or b23.tv link and asks for text/transcript/summary, (4) user says 转写, 知识库, 文字版, or transcribe bilibili.

Not recommendedcritical or high security findings
modbender/skill-library-mcp Agent Skills author: modbender MIT 7 files · 5 scripts body ≈ 1 262 tokens Open the sourcegithub.com analyzed 2 d ago

Convert Bilibili (B站) videos into a searchable text knowledge base.

As a process C 57/100 · Has gaps — weak spots: when it triggers, inputs and preconditions, progress reporting

GeneratorMedia and videotype and topics are labelled automatically from the skill text
JSON
Technical rating
B
78/100
safety, quality, tests
Safety 60%
76
Quality 40%
80
Run on models
none yet
Process rating
C
57/100
Has gaps
Inputs and preconditions w 11
0
Progress reporting w 2
0
When it triggers w 12
20
the three weakest of ten parameters · all ten

What is at stake

The skill contains fragments that, in the wrong hands, cost money or data. Below: what the installer risks and what the author should do.

Exfiltration
If you install

The instructions or scripts send data out: environment variables, keys, file contents, chat history. You may never notice, because the agent performs the upload as "part of the task".

For the author

If the upload is not needed for the task, remove it: catalogs flag such skills and delist them. If it is needed, name the destination explicitly, say what leaves the machine, and give the user a switch.

How to improve

  1. Address the high-severity findings: each costs 18 safety points. If one is a false positive, add the rule id to guard.allow in spec.yaml.
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 · 3

  • high Exfiltration intent-browser-credential-store SKILL.md:143
    Accesses a browser credential / cookie store
    **Optional**: Browser cookies for member-only content (`--cookies-from-browser chrome`)
Medium and low: 2
  • medium Exfiltration intent-browser-credential-store scripts/batch_channel.sh:22
    Accesses a browser credential / cookie store (detector / deny-list definition)
    COOKIES_ARG="--cookies-from-browser chrome"
    detector
  • low Dangerous commands cmd-background-process SKILL.md:95
    Starts a background / autostarted process
    nohup bash scripts/batch_clean.sh ./kb/UP主名_UID/ 0 80 > /tmp/clean.log 2>&1 &

Files scanned: 7. 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 57/100

  • 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 (bash, web) that frontmatter does not declare
  • 60Result and completion. Output format stated, no completion criterion
  • 85Steps. 16 steps, 1 vague phrases
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1262 tokens
  • 100Running it twice. No mutating operations
  • low 12 top-level sections: this looks like several domains in one skill

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)
  • -41 reference files, but SKILL.md never points to them: the model will not open them
  • -31 of 5 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 539: enough signal without eating the budget
  • +4Structure: 16 headings
  • +3Step-by-step instructions: 16 items
  • +3Output format is stated explicitly
  • +4Has examples (9 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 80.