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CC chan-stock-analysis

基于BARF框架的缠论多级别联立股票/指数/黄金行情分析。触发词：「使用缠论分析下」「分析下股票」「缠论分析」「帮我分析下」。优先级最高。必须获取日K+30分钟+5分钟+1分钟四级数据进行分析。采用akshare优先、futu备用的数据获取策略。多级别联动判断是核心要求。支持A股、港股、美股及黄金XAUUSD等走势分析。支持可视化绘图。

ClawHub Agent Skills author: zhouyuzhy v1.0.4 MIT-0 10 files · 6 scripts body ≈ 1 623 tokens Open the sourceclawhub.ai↗ analyzed 6 d ago

基于BARF框架的缠论多级别联立股票/指数/黄金行情分析。触发词：「使用缠论分析下」「分析下股票」「缠论分析」「帮我分析下」。优先级最高。必须获取日K+30分钟+5分钟+1分钟四级数据进行分析。采用akshare优先、futu备用的数据获取策略。多级别联动判断是核心要求。支持A股、港股、美股及黄金XAUUSD等走势分…

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

AnalyzerObsidianSoftware developmentData and analyticstype 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
C
87/100
safety, quality, tests
Safety 60%
99
Quality 40%
69
Run on models
none yet
Process rating
C
53/100
Has gaps
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 · 1

✓ No critical or high findings

Medium and low: 1
  • low Obfuscation uni-zero-width REPORT_SAMPLE.md:11
    Zero-width / invisible characters (possible hidden text) (6 occurrences) (test fixture / example file; a stray character, not a sequence)
    - **背驰分析**：价格在1.129创出新高，但下方MACD指标并未同步创出新高，DIFF值有走平回落迹象，红柱面积显著萎缩。这构成了 **“日线级别上涨动能衰竭信号”**␀ ，预示着本段上涨趋势已进入尾声，存在构筑大级别顶部的极大可能。当前属于上涨趋势背驰后的第一次回拉过程，正在寻找一个次级别（30分钟）的卖点。
    fixturestray character

Files scanned: 10. 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")

Process rating: all ten parameters 53/100

  • 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
  • 100Tools and files. No external tools needed
  • 100Steps. 105 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1623 tokens
  • 100Running it twice. No mutating operations
  • low 11 top-level sections: this looks like several domains in one skill

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
  • -33 of 6 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 169: enough signal without eating the budget
  • +4Structure: 42 headings
  • +3Step-by-step instructions: 105 items
  • +4Has examples (13 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 69.

External checks

ClawHub: suspicious
This stock-analysis skill is disclosed as a market tool, but it automatically saves and uploads outputs to Baidu Cloud when configured, so users should review it before installing.
LLM: suspicious (high) · VirusTotal: · 29 May 2026