SKILLEMALL.ai

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小智A股分析引擎 — 融合四家数据源、三维分析框架、正交双评分体系、对抗验证机制、 7大规则实时监控预警的专业A股分析技能。 支持实时行情查询、个股深度分析、大盘情绪判断、热点板块扫描、量化选股、 交易策略输出、股票池管理、实时监控预警(7大规则/三级分级/智能频率)。 当用户询问A股行情、个股分析、投资建议时触发。 适用于沪深A股(60/00/30/68开头)及北交所、港股、美股基础查询。

ClawHub Agent Skills author: badboy2021123 v1.2.0 MIT-0 11 files body ≈ 3 156 tokens Open the sourceclawhub.ai analyzed 2 d ago

小智A股分析引擎 — 融合四家数据源、三维分析框架、正交双评分体系、对抗验证机制、 7大规则实时监控预警的专业A股分析技能。 支持实时行情查询、个股深度分析、大盘情绪判断、热点板块扫描、量化选股、 交易策略输出、股票池管理、实时监控预警(7大规则/三级分级/智能频率)。…

As a process F 35/100 · Will not run — References files that are not bundled: references/thsdk-usage.md

ProcedureSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
B
85/100
safety, quality, tests
Safety 60%
100
Quality 40%
63
Run on models
none yet
Process rating
F
35/100
Will not run
References files that are not bundled: references/thsdk-usage.md
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: 11. 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/thsdk-usage.md
  • note frontmatter-key unknown frontmatter key "trigger_priority"

Process rating: all ten parameters 35/100

Will not run. References files that are not bundled: references/thsdk-usage.md
  • 0Tools and files. 1 referenced file(s) missing: references/thsdk-usage.md
  • 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. 27 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 3156 tokens
  • 100Running it twice. No mutating operations
  • low 15 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
  • -249 emoji in the instructions: noise for the model
  • -43 reference files, but SKILL.md never points to them: the model will not open them
  • +2Single-language instructions
  • +3Description length 197: enough signal without eating the budget
  • +4Structure: 49 headings
  • +3Step-by-step instructions: 27 items
  • +4Has examples (23 code blocks)
  • +3All 4 scripts are documented
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 63.

External checks

ClawHub: suspicious
The skill appears to be a real stock-analysis tool, but it needs Review because it stores portfolio/watchlist data and describes automatic external notifications while parts of the README claim it is read-only.
LLM: suspicious (high) · VirusTotal: · 7 Jul 2026