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DC stock-mx

(no description)

Not recommendedlow grade D
ClawHub Agent Skills author: Jade-srgb v1.0.0 MIT-0 8 files body ≈ 1 197 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process C 51/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureInfrastructuretype 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
D
55/100
safety, quality, tests
Safety 60%
92
Quality 40%
0
Run on models
none yet
Process rating
C
51/100
Has gaps
Result and completion w 14
0
When it triggers w 12
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. Add a description to the frontmatter: without it the skill never triggers.
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 · 8

✓ No critical or high findings

Medium and low: 8
  • low Secrets in code secret-high-entropy-token mx_data.json:14
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "instructions": "你负责使用妙想金融数据skill查询金融相关数据。\n\n## 功能说明\n\n妙想金融数据基于东方财富权威数据库及最新行情底层数据构建，支持通过自然语言查询以下三类数据：\n\n### 1. 行情类数据\n股票、行业、板块、指数、基金、债券的实时行情、主力资金流向、估值等数据。\n\n### 2. 财务类数据\n上市公司与非上市公司的基本信息、财务指标、高管信息
    quoted
  • low Secrets in code secret-high-entropy-token mx_data.md:37
    High-entropy token-like string (may be an id, hash or a credential)
    2. 如果没有，请在调用时使用默认的示例apikey: mkt_…4tU（用户可能需要替换为自己的apikey）
  • low Secrets in code secret-high-entropy-token mx_search.json:14
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "instructions": "你负责使用妙想资讯搜索skill查询金融资讯。\n\n## 功能说明\n\n妙想资讯搜索基于东方财富妙想搜索能力，用于获取涉及时效性信息或特定事件信息的任务，包括新闻、公告、研报、政策、交易规则、具体事件、各种影响分析、以及需要检索外部数据的非常识信息等。\n\n## API调用方式\n\n使用POST请求调用以下接口：\n\n```\nPOST https://
    quoted
  • low Secrets in code secret-high-entropy-token mx_search.md:26
    High-entropy token-like string (may be an id, hash or a credential)
    2. 如果没有，请在调用时使用默认的示例apikey: mkt_…4tU（用户可能需要替换为自己的apikey）
  • low Secrets in code secret-high-entropy-token mx_select_stock.json:24
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "instructions": "你负责使用妙想智能选股skill进行股票筛选。\n\n## 功能说明\n\n妙想智能选股支持基于自然语言查询进行选股，类型支持['A股', '港股', '美股']。可以基于行情指标、财务指标等筛选满足条件的股票，也可查询指定行业/板块内的股票、上市公司，以及板块指数的成分股。\n\n## API调用方式\n\n使用POST请求调用以下接口：\n\n```\nPOS
    quoted
  • low Secrets in code secret-high-entropy-token mx_select_stock.md:28
    High-entropy token-like string (may be an id, hash or a credential)
    2. 如果没有，请在调用时使用默认的示例apikey: mkt_…4tU（用户可能需要替换为自己的apikey）
  • low Secrets in code secret-high-entropy-token SKILL.md:38
    High-entropy token-like string (may be an id, hash or a credential)
    2. 如果没有，请在调用时使用默认的示例apikey: mkt_…4tU（用户可能需要替换为自己的apikey）
  • low Secrets in code secret-high-entropy-token SKILL.md:204
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    默认API Key: `mkt_…4tU`
    quoted

Files scanned: 8. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • error frontmatter SKILL.md: no YAML frontmatter block found
  • error name-missing SKILL.md: frontmatter has no `name`
  • error description-missing SKILL.md: no `description` — the skill can never trigger

Process rating: all ten parameters 51/100

  • 0Result and completion. Does not say what the result is
  • 0When it triggers. No condition that starts the skill
  • 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
  • 100Tools and files. No external tools needed
  • 100Steps. 21 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1197 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 0: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +4Structure: 30 headings
  • +3Step-by-step instructions: 21 items
  • +4Has examples (3 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 0.

External checks

ClawHub: suspicious
This financial-data skill does what it says, but it publishes and tells agents to use a shared fallback API key for external financial API requests.
LLM: suspicious (high) · VirusTotal: · 29 May 2026