SKILLEMALL.ai

BC industry-intelligence

行业情报 — 构建并维护某一行业的竞争对手资源库,持续采集监管动态/政策动态、媒体关注、企业官方发布、业务动态、企业数智化动态、国际同行、江湖传闻七大类信息,评估可信度与影响力,生成简报或详报。凡是用户提到"行业情报"、"竞争对手动态"、"行业动态"、"监管动态"、"政策动态"、"竞争对手资源库"、"行业情报收集"、"江湖传闻"、"国际同行"、"企业数智化",或者想了解某个行业的竞争格局、跟踪同业动向时,都应触发本 skill。

ClawHub Agent Skills author: citywanderr v1.3.0 MIT-0 20 files body ≈ 4 844 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process C 62/100 · Has gaps — weak spots: when it triggers, inputs and preconditions, running it twice

ProcedurePDFSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
71
Run on models
none yet
Process rating
C
62/100
Has gaps
Inputs and preconditions w 11
0
When it triggers w 12
20
Running it twice w 4
30
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: 20. 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 62/100

  • 0Inputs and preconditions. Does not say what the process needs to start
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 2 mutating operations with no state check
  • 60Tools and files. Uses tools (bash, web, python, node) that frontmatter does not declare
  • 60Result and completion. Output format stated, no completion criterion
  • 70Execution cost. Instruction body is 4844 tokens
  • 100Steps. 128 steps
  • 100Failures and branches. 2 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

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)
  • -4Absolute local paths (C:\Users, /home/…): not portable
  • -225 emoji in the instructions: noise for the model
  • -32 of 5 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 3 example trigger phrases
  • +3Description length 216: enough signal without eating the budget
  • +4Structure: 37 headings
  • +3Step-by-step instructions: 128 items
  • +3Output format is stated explicitly
  • +4Has examples (8 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 71.

External checks

ClawHub: clean
This appears to be a legitimate industry-news collection and reporting skill, with disclosed use of web fetching, local helper scripts, optional dependency downloads, and reusable workspace files.
LLM: benign (medium) · VirusTotal: · 29 May 2026