SKILLEMALL.ai
GitHub ↗ RU Sign in

AF xiapi-market-review

A股市场全面复盘，整合指数表现、板块热力图、涨跌停、风格轮动、市场温度分析。触发词：市场复盘、今天市场怎么样、市场分析、每日复盘、市场概览。适用场景：对当日A股市场进行全面复盘、生成综合市场分析报告。不适用场景：个股深度分析、单一指标分析、债券/基金分析。

ClawHub Agent Skills author: 三水清 v1.0.0 MIT-0 2 files body ≈ 2 000 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 40/100 · Will not run — References files that are not bundled: ../xiapi-top-stocks/references/token-setup.md

AnalyzerInfrastructuretype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
76
Run on models
none yet
Process rating
F
40/100
Will not run
References files that are not bundled: ../xiapi-top-stocks/references/token-setup.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: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: ../xiapi-top-stocks/references/token-setup.md

Process rating: all ten parameters 40/100

Will not run. References files that are not bundled: ../xiapi-top-stocks/references/token-setup.md
  • 0Tools and files. 1 referenced file(s) missing: ../xiapi-top-stocks/references/token-setup.md
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 50Failures and branches. 0 branches, has a failure section
  • 100Steps. 160 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2000 tokens
  • 100Running it twice. No mutating operations
  • low 11 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
  • -218 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +3Description length 128: enough signal without eating the budget
  • +4Structure: 33 headings
  • +3Step-by-step instructions: 160 items
  • +4Has examples (5 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.

External checks

ClawHub: clean
This skill is a disclosed A-share market recap helper that uses an external market-data CLI and has manageable credential and trigger-scope cautions.
LLM: benign (high) · VirusTotal: · 29 May 2026