SKILLEMALL.ai

AF enterprise-intro

企业百科生成技能 - 基于多维企业数据生成专业的企业洞察简介报告。 Use when: 用户需要生成企业信用分析报告、商业调研报告、投资尽调报告,或需要快速了解一家企业的综合信息。 NOT for: 实时股票行情查询、个人征信查询、非中国大陆企业查询、需要最新财务数据(API数据可能有滞后)。

ClawHub Agent Skills author: Royyyyor v1.0.1 MIT-0 34 files body ≈ 1 284 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process F 39/100 · Will not run — References files that are not bundled: examples/data/

IntegrationInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
91/100
safety, quality, tests
Safety 60%
95
Quality 40%
85
Run on models
none yet
Process rating
F
39/100
Will not run
References files that are not bundled: examples/data/
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

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Broad scope medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The skill asks for more than the task needs: broad tool access, credential environment variables, binaries. Every extra permission widens the damage from a mistake or a compromise.

For the author

Narrow allowed-tools and the variable list to the minimum; replace binaries with readable sources or scripts.

How to improve

  1. 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 · 1

✓ No critical or high findings

Medium and low: 1
  • medium Broad scope meta-broad-allowed-tools SKILL.md:1
    Broad tool permissions pre-approved: Bash
    allowed-tools: Read Grep Glob Bash

Files scanned: 34. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: examples/data/

Process rating: all ten parameters 39/100

Will not run. References files that are not bundled: examples/data/
  • 0Tools and files. 1 referenced file(s) missing: examples/data/
  • 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
  • 50When it triggers. No condition that starts the skill
  • 100Steps. 28 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1284 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
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +4Description says when NOT to use the skill
  • +3Description length 147: enough signal without eating the budget
  • +4Structure: 19 headings
  • +3Step-by-step instructions: 28 items
  • +4Has examples (4 code blocks)
  • +3All 22 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 85.

External checks

ClawHub: suspicious
This enterprise-report skill is mostly coherent, but it needs Review because several templates tell the agent to hide that reports are AI-generated.
LLM: suspicious (high) · VirusTotal: · 29 May 2026