SKILLEMALL.ai

AD xhs-deep-summary-local

本地免费一键深度总结小红书【视频】笔记:yt-dlp 拉取视频(无需 cookie)、faster-whisper 本地转写、输出元数据+逐字稿,再由 LLM 做结构化深度总结。专用于小红书视频笔记的采集与归档。图片笔记/纯文字笔记需另用 xhs-note-summary 类技能。

ClawHub Agent Skills author: yuanming0007 v1.0.0 MIT-0 4 files body ≈ 521 tokens Open the sourceclawhub.ai analyzed 2 d ago

本地免费一键深度总结小红书【视频】笔记:yt-dlp 拉取视频(无需 cookie)、faster-whisper 本地转写、输出元数据+逐字稿,再由 LLM 做结构化深度总结。专用于小红书视频笔记的采集与归档。图片笔记/纯文字笔记需另用 xhs-note-summary 类技能。

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

ProcedureWriting and documentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
74
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 (web, python) that frontmatter does not declare
  • 100Steps. 19 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 521 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
  • -212 emoji in the instructions: noise for the model
  • +2Single-language instructions
  • +3Description length 141: enough signal without eating the budget
  • +4Structure: 6 headings
  • +3Step-by-step instructions: 19 items
  • +4Has examples (3 code blocks)
  • +3All 1 scripts are documented
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 74.

External checks

ClawHub: suspicious
The skill appears intended to summarize Xiaohongshu videos locally, but users should review its handling of tokenized links, local credentials, and archival to Obsidian/IMA before installing.
LLM: suspicious (high) · 30 Jul 2026