SKILLEMALL.ai
GitHub ↗ RU Sign in

BD slzq-trading

三立期货「三立智期」官方技能：对话领取模拟盘密钥，查行情与持仓，模拟盘可下单；问是否正规、开户也可答。实盘请去 App 复制密钥。

ClawHub Agent Skills author: SqringWang v1.2.8 MIT-0 46 files · 3 scripts body ≈ 421 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

三立期货「三立智期」官方技能：对话领取模拟盘密钥，查行情与持仓，模拟盘可下单；问是否正规、开户也可答。实盘请去 App 复制密钥。

As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureAI 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
B
84/100
safety, quality, tests
Safety 60%
93
Quality 40%
70
Run on models
none yet
Process rating
D
49/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
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.
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 · 7

✓ No critical or high findings

Medium and low: 7
  • low Secrets in code secret-high-entropy-token assets/kefu-qrcode.base64.txt:1
    High-entropy token-like string (may be an id, hash or a credential)
    data:image/png;base64,iVBO…d8m+ODwSbmlrVxHAQcHBwcHBwcH/014kWtr/aUd9fXZfr7+2Pu39brf3S+n3rp3/KMsXeD/ExfVdQ
  • low Secrets in code secret-high-entropy-token references/openapi/paths-catalog.yaml:234
    High-entropy token-like string (may be an id, hash or a credential)
    Open…ay:
  • low Secrets in code secret-high-entropy-token runtime/mcp/package-lock.json:88
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "integrity": "sha5…GLi+2W/6ao+6Y7gu/RCwR…Kng==",
    quoted
  • low Secrets in code secret-high-entropy-token runtime/mcp/package-lock.json:267
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…GLw+xYSd…cqA==",
    detector
  • low Secrets in code secret-high-entropy-token runtime/mcp/package-lock.json:322
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "integrity": "sha5…FrF+LTRo…W3g==",
    quoted
  • low Secrets in code secret-high-entropy-token runtime/mcp/package-lock.json:331
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "integrity": "sha5…A6j+hAmM…GbS+kf5c…csw==",
    quoted
  • low Secrets in code secret-high-entropy-token runtime/mcp/package-lock.json:340
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "integrity": "sha5…5bm+c2gQ…aG5+esrLODihIorn+Pe6F…dXA==",
    quoted

Files scanned: 46. 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")
  • note frontmatter-key unknown frontmatter key "triggers"
  • note frontmatter-key unknown frontmatter key "config"
  • note frontmatter-key unknown frontmatter key "references"

Process rating: all ten parameters 49/100

  • 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
  • 40Consistency. Frontmatter name (slzq-trading) differs from the folder (slzq-trading-preview)
  • 100Tools and files. No external tools needed
  • 100Steps. 11 steps
  • 100Execution cost. Instruction body is 421 tokens
  • 100Running it twice. No mutating operations

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 65: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +4Structure: 5 headings
  • +3Step-by-step instructions: 11 items
  • +4Has examples (3 code blocks)
  • +4Reference files are cited in the instructions (1 of 12)

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

External checks

ClawHub: suspicious
This is a coherent futures-trading skill, but it should be reviewed carefully because it can persist trading credentials and place or cancel live orders without strong built-in confirmation gates.
LLM: suspicious (high) · 14 Aug 2026