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BF quant-trader-daily

[中文] 量化交易员日常任务管理系统 - 专为股票交易员设计的每日工作流程管理工具。 包含：开盘/收盘/日终汇报模板、实时持仓监控、风控提醒、交易日志记录。 使用场景：(1) 管理每日交易任务时间表 (2) 生成汇报给上级的简报 (3) 监控持仓风险 (4) 记录交易日志 (5) 复盘分析 [English] Quantitative Trader Daily Task Management System - A comprehensive daily workflow management tool designed for stock traders. Features: Opening/Closing/End-of-day report templates, real-time portfolio monitoring, risk control alerts, trading log recording. Use cases: (1) Manage daily trading schedules (2) Generate briefings for supervisors (3) Monitor portfolio risks (4) Record trading logs (5) Performance review

LeoYeAI/openclaw-master-skills Agent Skills author: LeoYeAI MIT 8 files body ≈ 1 358 tokens Open the sourcegithub.com↗ analyzed 2 d ago

[中文] 量化交易员日常任务管理系统 - 专为股票交易员设计的每日工作流程管理工具。 包含：开盘/收盘/日终汇报模板、实时持仓监控、风控提醒、交易日志记录。 使用场景：(1) 管理每日交易任务时间表 (2) 生成汇报给上级的简报 (3) 监控持仓风险 (4) 记录交易日志 (5) 复盘分析 [English]…

As a process F 24/100 · Will not run — References files that are not bundled: references/daily-schedule.md, references/report-templates.md, references/risk-management.md

ProcedureAI and agentstype 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%
70
Run on models
none yet
Process rating
F
24/100
Will not run
References files that are not bundled: references/daily-schedule.md, references/report-templates.md, references/risk-management.md
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. 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: 8. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: references/daily-schedule.md
  • warning missing-ref reference to a missing file: references/report-templates.md
  • warning missing-ref reference to a missing file: references/risk-management.md

Process rating: all ten parameters 24/100

Will not run. References files that are not bundled: references/daily-schedule.md, references/report-templates.md, references/risk-management.md
  • 0Tools and files. 3 referenced file(s) missing: references/daily-schedule.md, references/report-templates.md, references/risk-management.md
  • 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
  • 30Running it twice. 1 mutating operations with no state check
  • 40Consistency. Frontmatter name (quant-trader-daily) differs from the folder (trader-daily)
  • 75Steps. 3 steps
  • 100Execution cost. Instruction body is 1358 tokens

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
  • -214 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +3Description length 573: enough signal without eating the budget
  • +4Structure: 19 headings
  • +3Step-by-step instructions: 3 items
  • +4Has examples (8 code blocks)

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