SKILLEMALL.ai

BD wechat-channels-crawler

视频号作品查询工具。根据用户输入的关键词搜索视频号热门作品,支持按最新、最多点赞、最多收藏和综合排序,结果以结构化表格展示。当用户想要查找视频号热门内容、搜索视频号爆款视频、查询视频号作品数据、了解某类内容在视频号的表现时使用。触发词包括:视频号搜索、视频号作品查询、视频号爆款、视频号热门、视频号内容搜索、搜视频号、微信视频号搜索。

ClawHub Agent Skills author: RedFox v1.0.0 MIT-0 5 files body ≈ 1 471 tokens Open the sourceclawhub.ai analyzed 3 d ago

视频号作品查询工具。根据用户输入的关键词搜索视频号热门作品,支持按最新、最多点赞、最多收藏和综合排序,结果以结构化表格展示。当用户想要查找视频号热门内容、搜索视频号爆款视频、查询视频号作品数据、了解某类内容在视频号的表现时使用。触发词包括:视频号搜索、视频号作品查询、视频号爆款、视频号热门、视频号内容搜索、搜视频号、…

As a process D 43/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
73
Run on models
none yet
Process rating
D
43/100
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: 5. 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 43/100

  • 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
  • 30Running it twice. 3 mutating operations with no state check
  • 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
  • 100Steps. 11 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1471 tokens

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
  • +1No license
  • +2Single-language instructions
  • +3Description length 167: enough signal without eating the budget
  • +4Structure: 23 headings
  • +3Step-by-step instructions: 11 items
  • +4Has examples (10 code blocks)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.

External checks

ClawHub: clean
This skill is a disclosed WeChat Channels search tool with an optional user-confirmed daily subscription feature, not hidden or deceptive behavior.
LLM: benign (high) · VirusTotal: · 6 Aug 2026