SKILLEMALL.ai

BD A股-股市分析和投资顾问(安西军项目)

中国 A 股/港股只读数据查询与分析技能。支持行情、基本面、指数、文本等数据内的检索,并且提供多种专业的分析方法和建议! 支持自然语言需求映射到 stocks 接口,并输出结构化分析结果。 需 TAX_API_KEY 鉴权;仅用于公开历史数据查询,不支持交易下单,也不构成投资建议。

ClawHub Agent Skills author: Roamer 徐 v0.2.2 MIT-0 5 files body ≈ 639 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ReferenceInfrastructuretype 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
D
49/100
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 name-format name should be kebab-case (lowercase letters, digits, hyphens)
  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 49/100

  • 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
  • 40Consistency. Frontmatter name (A股-股市分析和投资顾问(安西军项目)) differs from the folder (stocks-query-base-skill)
  • 100Tools and files. No external tools needed
  • 100Steps. 41 steps
  • 100Execution cost. Instruction body is 639 tokens
  • 100Running it twice. No mutating operations
  • low 10 top-level sections: this looks like several domains in one skill

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
  • +1No license
  • +2Single-language instructions
  • +3Description length 141: enough signal without eating the budget
  • +4Structure: 10 headings
  • +3Step-by-step instructions: 41 items
  • +4Has examples (1 code blocks)

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

External checks

ClawHub: suspicious
This stock-analysis skill is mostly read-only, but it adds web/forum searching, default sub-agent processing, and notification pushing without clear scoping or user control.
LLM: suspicious (high) · VirusTotal: · 29 May 2026