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BF stock-scanner

跨市场股票技术指标扫描系统。数据来源 TradingView，支持 A股/港股/美股/日股。 从用户 Obsidian vault 中的 watchlist 读取 ticker 列表，运行14项技术信号扫描 （MA交叉、RSI、MACD、BOLL、放量突破、缩量回调、量价背离、周K共振、综合评分等）， 并将扫描报告（Markdown + 可选 Excel）保存回 Obsidian vault。 设计为每日定时运行。 当用户提到"股票扫描"、"技术指标扫描"、"stock scanner"、"run the scanner"、 "跑一下扫描"、"技术分析日报"、"watchlist scan"、"每日扫描"时触发本 skill。 也适用于用户要求对 watchlist 做批量技术分析、生成技术信号报告、或提到 TradingView 数据扫描等场景。

ClawHub Agent Skills author: sarahwang94712 v1.0.0 MIT-0 4 files body ≈ 552 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 31/100 · Will not run — References files that are not bundled: scripts/scanner.py

ProcedureObsidianData and analyticsInfrastructuretype 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
86/100
safety, quality, tests
Safety 60%
99
Quality 40%
67
Run on models
none yet
Process rating
F
31/100
Will not run
References files that are not bundled: scripts/scanner.py
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 · 1

✓ No critical or high findings

Medium and low: 1
  • low Dangerous commands cmd-cron-mention SKILL.md:66
    Mentions editing / listing crontab (documentation of a security skill)
    # crontab -e
    security skill

Files scanned: 4. 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")
  • warning missing-ref reference to a missing file: scripts/scanner.py

Process rating: all ten parameters 31/100

Will not run. References files that are not bundled: scripts/scanner.py
  • 0Tools and files. 1 referenced file(s) missing: scripts/scanner.py
  • 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 (stock-scanner) differs from the folder (tradingviewscanner)
  • 100Steps. 16 steps
  • 100Execution cost. Instruction body is 552 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

  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • -4Absolute local paths (C:\Users, /home/…): not portable
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 5 example trigger phrases
  • +3Description length 379: enough signal without eating the budget
  • +4Structure: 12 headings
  • +3Step-by-step instructions: 16 items
  • +4Has examples (3 code blocks)

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

External checks

ClawHub: clean
This is a coherent stock-scanning skill, but users should confirm paths and use an isolated Python environment before running it.
LLM: benign (high) · VirusTotal: · 29 May 2026