SKILLEMALL.ai

AD bilibili-favorites-downloader

下载 Bilibili 用户个人收藏夹视频的工具。当用户提到以下任何场景时必须使用此 Skill: - "下载 Bilibili 收藏"、"bilibili 收藏下载"、"备份 bilibili 收藏夹" - "下载 B 站收藏"、"B站收藏夹下载" - "获取收藏视频列表"、"导出 bilibili 收藏" - "download bilibili favorites"、"backup bilibili" 此 Skill 提供完整的 Bilibili 用户收藏夹视频下载解决方案,包括: - 自动获取收藏夹所有视频列表(支持分页) - 智能估算视频大小,支持按大小过滤 - 使用 yt-dlp 下载最高可用清晰度 - 断点续传,跳过已存在的文件 - 批量下载,自动处理失效视频

ClawHub Agent Skills author: hhjin v1.0.0 MIT-0 4 files body ≈ 713 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ReferenceInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
80
Run on models
none yet
Process rating
D
46/100
Unfinished process
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

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
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: 4. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 46/100

  • 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
  • 20When it triggers. No condition that starts the skill
  • 60Tools and files. Uses tools (python) that frontmatter does not declare
  • 100Steps. 24 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 713 tokens
  • 100Running it twice. No mutating operations
  • low 11 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

  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 9 example trigger phrases
  • +3Description length 342: enough signal without eating the budget
  • +4Structure: 21 headings
  • +3Step-by-step instructions: 24 items
  • +4Has examples (6 code blocks)
  • +3All 1 scripts are documented

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

External checks

ClawHub: clean
This skill is a straightforward Bilibili favorites downloader; its main risk is expected bandwidth and disk use from saving videos locally.
LLM: benign (high) · VirusTotal: · 29 May 2026