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BF 股票交易监控系统

股票交易监控系统，通过新浪财经 API 获取 A 股实时行情。支持盘前盘后自动跳过，异常触发即时告警（无需消耗模型 token），支持价格日志自动记录。适用场景：(1) 定时盘中检查，价格触高/触低/涨跌幅超标即时推送 (2) 实时查询股价 (3) 查看每日价格日志与历史日志 (4) 盘前盘后自动过滤无效行情。版本 3.0，新增规则：每日仅报一次 + 无异常静默 + 即时推送 + 价格日志自动记录。

ClawHub Agent Skills author: likepost v1.0.1 MIT-0 5 files body ≈ 462 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

股票交易监控系统，通过新浪财经 API 获取 A 股实时行情。支持盘前盘后自动跳过，异常触发即时告警（无需消耗模型 token），支持价格日志自动记录。适用场景：(1) 定时盘中检查，价格触高/触低/涨跌幅超标即时推送 (2) 实时查询股价 (3) 查看每日价格日志与历史日志 (4) 盘前盘后自动过滤无效行情。版本…

As a process F 33/100 · Will not run — References files that are not bundled: scripts/stock_config.json

IntegrationSoftware developmenttype 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%
100
Quality 40%
60
Run on models
none yet
Process rating
F
33/100
Will not run
References files that are not bundled: scripts/stock_config.json
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
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.
  2. The text references files that are not there: add them or drop the references.
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 · 0

✓ No critical or high findings

Files scanned: 5. 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")
  • warning missing-ref reference to a missing file: scripts/stock_config.json
  • note frontmatter-key unknown frontmatter key "slug"

Process rating: all ten parameters 33/100

Will not run. References files that are not bundled: scripts/stock_config.json
  • 0Tools and files. 1 referenced file(s) missing: scripts/stock_config.json
  • 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
  • 20When it triggers. No condition that starts the skill
  • 40Consistency. Frontmatter name (股票交易监控系统) differs from the folder (stock-monitor-a)
  • 100Steps. 6 steps
  • 100Execution cost. Instruction body is 462 tokens
  • 100Running it twice. No mutating operations
  • 100Progress reporting. Reports progress

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 201: enough signal without eating the budget
  • +4Structure: 7 headings
  • +3Step-by-step instructions: 6 items
  • +4Has examples (3 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 60.

External checks

ClawHub: clean
This is a coherent stock-price monitoring skill that fetches public market quotes, stores local alert logs, and can be scheduled for alerts, with no evidence of credential theft, destructive behavior, or unrelated data access.
LLM: benign (high) · VirusTotal: · 3 Jun 2026