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AD webull-openapi

Trade stocks, options, futures, crypto, and event contracts on Webull. Query real-time and historical market data. Manage accounts and positions. Supports US, HK, JP, SG, TH, MY, UK, MX, BR, EU, ZA, and AU regions with configurable risk controls.

ClawHub Agent Skills author: webull-openapi v1.1.9 MIT-0 54 files body ≈ 4 260 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

Trade stocks, options, futures, crypto, and event contracts on Webull.

As a process D 45/100 · Unfinished process — weak spots: when it triggers, inputs and preconditions, failures and branches

ProcedureWriting and documentstype 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
91/100
safety, quality, tests
Safety 60%
98
Quality 40%
80
Run on models
none yet
Process rating
D
45/100
Unfinished process
Inputs and preconditions w 11
0
Failures and branches w 10
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.
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 · 2

✓ No critical or high findings

Medium and low: 2
  • low Exfiltration read-dotenv README.md:135
    Reads a .env file
    cp .env.example .env
  • low Exfiltration read-dotenv README.md:487
    Reads a .env file
    cp .env.example .env

Files scanned: 53. 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")

Process rating: all ten parameters 45/100

  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 3 mutating operations with no state check
  • 40Consistency. Frontmatter name (webull-openapi) differs from the folder (webull-openapi-skills)
  • 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
  • 60Result and completion. Output format stated, no completion criterion
  • 70Execution cost. Instruction body is 4260 tokens
  • 85Steps. 166 steps, 1 vague phrases
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 12 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)
  • +2Single-language instructions
  • +3Description length 246: enough signal without eating the budget
  • +4Structure: 39 headings
  • +3Step-by-step instructions: 166 items
  • +3Output format is stated explicitly
  • +4Has examples (6 code blocks)
  • +4Reference files are cited in the instructions (2 of 14)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 80.

External checks

ClawHub: suspicious
The skill is a coherent Webull trading integration, but it needs Review because it can affect real brokerage accounts and saved watchlists without a code-enforced confirmation gate.
LLM: suspicious (high) · 19 Aug 2026