SKILLEMALL.ai

BF account-video-downloader

多平台账号主页视频提取器 — 输入平台名称和账号id/链接,自动拉取抖音/快手/B站/YouTube 四大平台主页作品,解析下载链接,支持批量下载。适用场景:竞品账号内容拆解与逐帧学习、收藏喜欢的创作者全部作品避免被删、批量搬运素材二次剪辑创作、保存自己账号作品做本地备份防丢失、课程/教程类视频离线囤货反复看、达人合作前快速拉取对方作品做背调分析。触发词:主页视频下载、批量下载视频、账号视频提取、快手主页下载、B站视频提取、YouTube频道下载、视频保存、无水印下载、竞品视频下载、博主视频备份。

ClawHub Agent Skills author: RedFox v1.0.0 MIT-0 11 files body ≈ 1 599 tokens Open the sourceclawhub.ai analyzed 3 d ago

多平台账号主页视频提取器 — 输入平台名称和账号id/链接,自动拉取抖音/快手/B站/YouTube…

As a process F 35/100 · Will not run — References files that are not bundled: 链接, ...

IntegrationYouTubeMedia and videoAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
83/100
safety, quality, tests
Safety 60%
100
Quality 40%
58
Run on models
none yet
Process rating
F
35/100
Will not run
References files that are not bundled: 链接, ...
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

The same skill appears in 1 more place: ClawHub

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: 11. 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")
  • warning missing-ref reference to a missing file: 链接
  • warning missing-ref reference to a missing file: ...

Process rating: all ten parameters 35/100

Will not run. References files that are not bundled: 链接, ...
  • 0Tools and files. 2 referenced file(s) missing: 链接, ...
  • 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
  • 100Steps. 5 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1599 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)
  • +3Output format is not stated: the model decides each time
  • -222 emoji in the instructions: noise for the model
  • -36 of 7 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 251: enough signal without eating the budget
  • +4Structure: 18 headings
  • +3Step-by-step instructions: 5 items
  • +4Has examples (4 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 58.

External checks

ClawHub: suspicious
This skill does what it claims, but it enables bulk watermark-free downloading of third-party videos with weak scoping and compliance warnings.
LLM: suspicious (high) · 4 Aug 2026