SKILLEMALL.ai

BD stockClaw-yingyan

为该股票量化项目提供 OpenClaw 接入说明,支持股票量化图生成、股票行情问答、自然语言 AI 搜股与 WebSocket 实时监控信号推送。凭证须从与本 Skill 同目录的 config.json 中 openclawCredentials 读取:user_id 与 openClaw_api_key 为必填(用于所有需鉴权的 HTTP 接口,请求体/查询参数中字段名仍为 apikey);monitor_api_key 为选填,仅 WebSocket 实时监控需要,不订阅监控可不配置。首次配置或用户在对话中修改后写回 config.json;禁止在配置已有效时重复索要;用户也可直接编辑 config.json 修改凭证。

ClawHub Agent Skills author: woshixihongtu-cyber v1.1.4 MIT-0 7 files body ≈ 2 169 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process D 41/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
84/100
safety, quality, tests
Safety 60%
96
Quality 40%
67
Run on models
none yet
Process rating
D
41/100
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
This is a copy of a skill from another catalog; the rating counts the canonical one: stockClaw-yingyan (ClawHub)

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 · 4

✓ No critical or high findings

Medium and low: 4
  • low Secrets in code secret-labelled-token examples.md:157
    Labelled token / key literal (vendor format unknown — verify it is not a live credential) (placeholder value)
    wss://yingyan.chatface.com/ws/monitor/open?apikey=YOUR…KEY&user_id=68b2671825
    placeholder
  • low Secrets in code secret-labelled-token examples.md:209
    Labelled token / key literal (vendor format unknown — verify it is not a live credential) (placeholder value)
    wss://yingyan.chatface.com/ws/monitor/open?apikey=YOUR…KEY&user_id=68b2…ae5
    placeholder
  • low Secrets in code secret-labelled-token reference.md:308
    Labelled token / key literal (vendor format unknown — verify it is not a live credential) (placeholder value)
    GET /api/openclaw/stock/limit-up?user_id=your_user_id&apikey=YOUR…KEY
    placeholder
  • low Secrets in code secret-labelled-token SKILL.md:171
    Labelled token / key literal (vendor format unknown — verify it is not a live credential) (placeholder value)
    GET /api/openclaw/stock/limit-up?user_id=your_user_id&apikey=YOUR…KEY
    placeholder

Files scanned: 7. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 41/100

  • 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 (stockClaw-yingyan) differs from the folder (stockclaw-yingyan3)
  • 60Tools and files. Uses tools (web) that frontmatter does not declare
  • 100Steps. 109 steps
  • 100Execution cost. Instruction body is 2169 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)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 317: enough signal without eating the budget
  • +4Structure: 27 headings
  • +3Step-by-step instructions: 109 items
  • +4Has examples (8 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 67.

External checks

ClawHub: clean
This is a disclosed stock-analysis integration, but it stores service API keys locally and sends them to the provider for authenticated stock queries and monitoring.
LLM: benign (high) · VirusTotal: · 29 May 2026