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BF portfolio-diagnosis (Public)

持仓诊断技能(Tushare驱动版)——专为A股投资者设计。当用户说"帮我诊断持仓"、"看看我的股票组合"、"仓位合理吗"、"持仓风险大吗"、"我的组合夏普比率多少"时触发。使用Tushare SDK获取实时行情和历史数据，进行包含波动率、Beta、夏普比率、最大回撤在内的量化风险诊断，并生成专业诊断报告,包含：英雄区 + 综合评分环形图;持仓概览关键指标卡片;个股明细表格（含仓位进度条）;四大量化指标卡片（波动率/Beta/夏普/回撤）;四张交互式 Chart.js 图表（雷达图/饼图/柱状图/盈亏对比）;六维诊断卡片、风险提示、优化建议;得分明细条形图。

ClawHub Agent Skills author: Super-max21 v5.0.0 MIT-0 7 files body ≈ 45 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

As a process F 34/100 · Will not run — weak spots: steps, result and completion, when it triggers

IntegrationInfrastructuretype 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
78/100
safety, quality, tests
Safety 60%
100
Quality 40%
46
Run on models
none yet
Process rating
F
34/100
Will not run
Steps w 15
0
Result and completion w 14
0
Inputs and preconditions w 11
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: portfolio-diagnosis (Public) (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 · 0

✓ No critical or high findings

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")
  • note frontmatter-key unknown frontmatter key "skill_key"
  • note frontmatter-key unknown frontmatter key "original_skill_key"
  • note frontmatter-key unknown frontmatter key "input_format"
  • note frontmatter-key unknown frontmatter key "trigger"

Process rating: all ten parameters 34/100

  • 0Steps. Prose only: no discrete steps
  • 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 (portfolio-diagnosis (Public)) differs from the folder (portfolio-diagnosis-public)
  • 100Tools and files. No external tools needed
  • 100Execution cost. Instruction body is 45 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)
  • +4Structure: 0 headings, hard to scan
  • +3No numbered steps or checklist
  • +3Output format is not stated: the model decides each time
  • +4No input/output examples
  • -15SKILL.md body under 300 characters: nearly empty
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 4 example trigger phrases
  • +3Description length 282: enough signal without eating the budget
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 46.

External checks

ClawHub: clean
This is a disclosed Prana remote-wrapper skill for portfolio analysis, but users should know their portfolio prompts are sent to a Prana service.
LLM: benign (high) · 28 May 2026