SKILLEMALL.ai

BF bilibili-hot-recommand

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ClawHub Agent Skills author: Ley v1.0.2 MIT-0 3 files body ≈ 151 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process F 16/100 · Will not run — References files that are not bundled: scripts/bilibili-hot-recommend.py

ReferenceInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
78/100
safety, quality, tests
Safety 60%
100
Quality 40%
45
Run on models
none yet
Process rating
F
16/100
Will not run
References files that are not bundled: scripts/bilibili-hot-recommend.py
Tools and files w 18
0
Steps w 15
0
Result and completion w 14
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.
  2. The text references files that are not there: add them or drop the references.
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: 3. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning frontmatter-yaml SKILL.md: the frontmatter is not valid YAML (YAML parse error: Unexpected scalar at node end at line 5, column 13: - "B站热门视频", ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value
  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning missing-ref reference to a missing file: scripts/bilibili-hot-recommend.py
  • note frontmatter-key unknown frontmatter key "trigger_keywords"
  • note frontmatter-key unknown frontmatter key "update_time"

Process rating: all ten parameters 16/100

Will not run. References files that are not bundled: scripts/bilibili-hot-recommend.py
  • 0Tools and files. 1 referenced file(s) missing: scripts/bilibili-hot-recommend.py
  • 0Steps. Prose only: no discrete steps
  • 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
  • 20When it triggers. No condition that starts the skill
  • 40Consistency. Frontmatter name (bilibili-hot-recommand) differs from the folder (bilibili-hot-recommend)
  • 100Execution cost. Instruction body is 151 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)
  • +3Description length 62: 120–800 characters recommended
  • +3No numbered steps or checklist
  • +3Output format is not stated: the model decides each time
  • -31 of 1 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +4Structure: 6 headings
  • +4Has examples (4 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 45.

External checks

ClawHub: clean
This skill fetches public Bilibili trending-video data, but users should notice that it does so through an undeclared third-party proxy domain.
LLM: benign (medium) · VirusTotal: · 29 May 2026