SKILLEMALL.ai

AF xiapi-stock-analysis

个股分析大师:面向A股支持单股深度分析与多股对比(综合/技术面/财报/价值面)。触发词:个股分析、个股对比、财报对比、价值分析、技术分析、买卖点、基本面、选时、ST分析。适用场景:用户需要对一个或多个明确股票标的做结构化分析与对比。不适用场景:未提供股票标的、仅做盘口超短交易指令、非A股标的。

ClawHub Agent Skills author: 三水清 v1.0.2 MIT-0 5 files body ≈ 2 737 tokens Open the sourceclawhub.ai analyzed 3 d ago

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

AnalyzerInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
93/100
safety, quality, tests
Safety 60%
100
Quality 40%
82
Run on models
none yet
Process rating
F
35/100
Will not run
References files that are not bundled: references/strategy-signals.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. 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: 5. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: references/strategy-signals.md

Process rating: all ten parameters 35/100

Will not run. References files that are not bundled: references/strategy-signals.md
  • 0Tools and files. 1 referenced file(s) missing: references/strategy-signals.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. 193 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2737 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 147: enough signal without eating the budget
  • +4Structure: 40 headings
  • +3Step-by-step instructions: 193 items
  • +4Has examples (9 code blocks)
  • +4Reference files are cited in the instructions (2 of 2)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 82.

External checks

ClawHub: clean
This is a disclosed A-share stock analysis skill that fetches market data and produces structured investment analysis, but users should treat its trading levels as informational rather than instructions.
LLM: benign (high) · VirusTotal: · 10 Jun 2026