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BF glmv-stock-analyst

股票分析与涨跌预测分析。 在用户表达分析、判断或预测意图时触发，如“分析一下腾讯”、“0700最近走势如何”、“XX能不能买”、“预测一下后续走势”、“生成一份分析报告”等； 支持港股、A股、美股，整合多源数据（包括新闻、基本面、技术面、资金流及宏观信息）进行多维综合分析，输出图文结合、包含可视化图表的结构化分析报告。 对于简单查询类需求（如“腾讯当前价格是多少”、“茅台代码是什么”）不触发本skill, 直接通过web_search 能力搜索并总结。 ⚠️ 需要多模态主模型支持（如 glm-5v-turbo），主模型需能读取图片。

ClawHub Agent Skills author: Z.ai v1.0.4 MIT-0 12 files · 1 script body ≈ 2 579 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 40/100 · Will not run — References files that are not bundled: kline_em.png

AnalyzerInfrastructuretype 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
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
69
Run on models
none yet
Process rating
F
40/100
Will not run
References files that are not bundled: kline_em.png
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: 12. 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: kline_em.png
  • note frontmatter-key unknown frontmatter key "openclaw"

Process rating: all ten parameters 40/100

Will not run. References files that are not bundled: kline_em.png
  • 0Tools and files. 1 referenced file(s) missing: kline_em.png
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 50Failures and branches. 0 branches, has a failure section
  • 100Steps. 54 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2579 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
  • -229 emoji in the instructions: noise for the model
  • -31 of 6 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 7 example trigger phrases
  • +3Description length 269: enough signal without eating the budget
  • +4Structure: 25 headings
  • +3Step-by-step instructions: 54 items
  • +4Has examples (13 code blocks)
  • +4Reference files are cited in the instructions (3 of 3)

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

External checks

ClawHub: clean
This is a disclosed stock analysis and report-generation skill with normal dependency and financial-advice risks, but no evidence of hidden, destructive, or exfiltrating behavior.
LLM: benign (high) · VirusTotal: · 29 May 2026