SKILLEMALL.ai

BF wenqu-library

面向中文内容创作的以证据为驱动的素材收集与整理流程,涵盖规划、搜索、下载、索引与可复用 素材库维护,适用于文章、报告、教程、项目介绍和说明材料。当用户要求“收集素材”“整理资料” “建立素材库”“抓取网页”或“收集网页素材”,或使用 "collect research", "build a source library", "save this webpage", "web scraping" 等英文表达时使用。

ClawHub Agent Skills author: gogoingai v0.1.19 MIT-0 4 files body ≈ 1 443 tokens Open the sourceclawhub.ai analyzed 2 d ago

面向中文内容创作的以证据为驱动的素材收集与整理流程,涵盖规划、搜索、下载、索引与可复用 素材库维护,适用于文章、报告、教程、项目介绍和说明材料。当用户要求“收集素材”“整理资料” “建立素材库”“抓取网页”或“收集网页素材”,或使用 "collect research", "build a source…

As a process F 35/100 · Will not run — References files that are not bundled: references/planning/content-provenance.md, references/planning/questionnaire.md, references/materials/

GeneratorAI and agentsWriting and documentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
87/100
safety, quality, tests
Safety 60%
100
Quality 40%
67
Run on models
none yet
Process rating
F
35/100
Will not run
References files that are not bundled: references/planning/content-provenance.md, references/planning/questionnaire.md, references/materials/
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

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: 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")
  • warning missing-ref reference to a missing file: references/planning/content-provenance.md
  • warning missing-ref reference to a missing file: references/planning/questionnaire.md
  • warning missing-ref reference to a missing file: references/materials/
  • note frontmatter-key unknown frontmatter key "slug"
  • note frontmatter-key unknown frontmatter key "displayName"
  • note frontmatter-key unknown frontmatter key "summary"
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 35/100

Will not run. References files that are not bundled: references/planning/content-provenance.md, references/planning/questionnaire.md, references/materials/
  • 0Tools and files. 3 referenced file(s) missing: references/planning/content-provenance.md, references/planning/questionnaire.md, references/materials/
  • 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. 52 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1443 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

  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • +2Single-language instructions
  • +5Description quotes 5 example trigger phrases
  • +3Description length 208: enough signal without eating the budget
  • +4Structure: 16 headings
  • +3Step-by-step instructions: 52 items
  • +4Has examples (2 code blocks)
  • +4Reference files are cited in the instructions (2 of 2)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 67.

External checks

ClawHub: clean
This skill is a disclosed research-collection workflow that searches, downloads, and stores writing materials with user confirmation and bounded persistence.
LLM: benign (medium) · VirusTotal: · 4 Aug 2026