SKILLEMALL.ai

BD market-open-analysis

每日开盘分析 Skill - 每个交易日自动推送 WTI 原油和黄金的开盘预测报告 **功能特性:** - 5:00 自动收集实时价格数据 - 5:30 分析信息面并推送到飞书 - 表格格式展示:品种、收盘价、开盘预测、置信度 - 基于隔夜新闻的利好/利空分析 **数据源:** - 价格数据:CommodityPriceAPI(黄金、WTI 原油)- **需自行配置 API Key** - 新闻资讯:东方财富妙想 API - **需自行配置 API Key** **推送格式:** | 品种 | 收盘价 | 开盘预测 | 置信度 | |------|--------|----------|--------| | ⛽ 美油 | `94.92` | 🔴 高开 | 🟡 中 | | 🥇 黄金 | `5002.59` | ⚪ 平开 | ⚪ 低 |

ClawHub Agent Skills author: linshengyyy v1.0.0 MIT-0 11 files body ≈ 1 099 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

AnalyzerInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
83/100
safety, quality, tests
Safety 60%
91
Quality 40%
71
Run on models
none yet
Process rating
D
46/100
Unfinished process
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 · 9

✓ No critical or high findings

Medium and low: 9
  • low Dangerous commands cmd-cron-mention install_cron.py:86
    Mentions editing / listing crontab (string literal in code, not executed)
    print("\n查看任务:crontab -l")
    code literal
  • low Dangerous commands cmd-cron-mention INSTALL.md:75
    Mentions editing / listing crontab
    crontab -l
  • low Dangerous commands cmd-cron-mention INSTALL.md:169
    Mentions editing / listing crontab
    crontab -e
  • low Dangerous commands cmd-cron-mention INSTALL.md:178
    Mentions editing / listing crontab
    crontab -e
  • low Dangerous commands cmd-cron-mention QUICKSTART.md:81
    Mentions editing / listing crontab
    crontab -l
  • low Dangerous commands cmd-cron-mention SKILL.md:120
    Mentions editing / listing crontab
    crontab -e
  • low Dangerous commands cmd-cron-mention SKILL.md:212
    Mentions editing / listing crontab
    crontab -l
  • low Dangerous commands cmd-cron-mention SKILL.md:215
    Mentions editing / listing crontab
    crontab -e
  • low Dangerous commands cmd-cron-mention SKILL.md:309
    Mentions editing / listing crontab
    crontab -l

Files scanned: 11. 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")
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 46/100

  • 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
  • 60Tools and files. Uses tools (python) that frontmatter does not declare
  • 100Steps. 27 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1099 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
  • +1No license
  • +2Single-language instructions
  • +3Description length 378: enough signal without eating the budget
  • +4Structure: 29 headings
  • +3Step-by-step instructions: 27 items
  • +4Has examples (19 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 71.

External checks

ClawHub: suspicious
The skill appears to do the advertised market-report automation, but it needs review because it creates persistent scheduled jobs and stores API credentials in plaintext source/config files.
LLM: suspicious (high) · VirusTotal: · 29 May 2026