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This Skill is powered by the **Wendian Starmap (问象星图)** professional stock data analytics platform, exposing core market intelligence endpoints for **real-time quotes**, **K-line/OHLC bars**, **heatmaps**, and **sector rotation analytics**. It supports natural-language or direct API access to: 1) **Real-time market data** — heatmap snapshots (sector/stock heat), global index spot quotes, single-symbol and batch K-line data; 2) **Calendar & reference data** — trading calendar and stock basic info for screening, search, and business-logic gating; 3) **Heatmap & sector rotation (proprietary algorithms)** — sector/stock heat matrices, market-wide heat aggregate index, and per-stock concept heatmaps that visualize cross-sector rotation momentum; 4) **Concepts & constituents** — concept/theme list, batch concept constituents, and reverse lookup of a stock's concept memberships, supporting sector selection and linkage analysis. This skill provides authoritative, low-latency market and heat data for LLMs and applications, ideal for heatmap visualization, rotation analysis, and quantitative research workflows.

ClawHub Agent Skills author: 问象星图 v1.0.0 MIT-0 2 files body ≈ 5 670 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

As a process C 55/100 · Has gaps — weak spots: when it triggers, inputs and preconditions, consistency

IntegrationData and analyticsPersonal productivityAI and agentstype 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
C
69/100
safety, quality, tests
Safety 60%
99
Quality 40%
25
Run on models
none yet
Process rating
C
55/100
Has gaps
Inputs and preconditions w 11
0
Progress reporting w 2
0
When it triggers w 12
20
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. Shorten the description to 1024 characters.
  3. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
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
  • low Exfiltration net-credential-use SKILL.md:482
    Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host)
    curl.exe -X GET "https://markethot.wendian.net/app-api/member/skill-data/heatmap/realtime?limit=5&source=…&type=…" -H "Content-Type: application/json" -H "X-API-Key: $apiKey"
    vendor-host

Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • error description-long description is 1118 chars, limit 1024
  • warning frontmatter-yaml SKILL.md: the frontmatter is not valid YAML (YAML parse error: Nested mappings are not allowed in compact mappings at line 2, column 14: description: This Skill is powered by the **Wendian Starmap (问象星图)** profession… ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value
  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning body-long SKILL.md body ≈ 5670 tokens (recommended < 5000); move details to references/
  • note frontmatter-key unknown frontmatter key "required_env_vars"
  • note frontmatter-key unknown frontmatter key "credentials"

Process rating: all ten parameters 55/100

  • 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
  • 30Running it twice. 5 mutating operations with no state check
  • 40Consistency. Frontmatter name (wendian-markethot-skill) differs from the folder (wendian-stock-skill)
  • 60Tools and files. Uses tools (web) that frontmatter does not declare
  • 60Result and completion. Output format stated, no completion criterion
  • 70Execution cost. Instruction body is 5670 tokens
  • 100Steps. 32 steps
  • 100Failures and branches. 1 branches, has a failure section
  • low 13 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (3 tags): a typed call is more reliable

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)
  • +3Description length 1118: 120–800 characters recommended
  • +1No license
  • +2Single-language instructions
  • +4Structure: 34 headings
  • +3Step-by-step instructions: 32 items
  • +3Output format is stated explicitly
  • +4Has examples (9 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 25.

External checks

ClawHub: clean
This is a documentation-only market-data skill that uses a disclosed Wendian API key to call Wendian stock and heatmap endpoints.
LLM: benign (high) · VirusTotal: · 29 May 2026