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BD wework-financial-daily

每日定时生成金融分析教学课件并推送至企业微信。使用场景：(1) 每天自动生成当日最新金融数据（BTC、AAPL 等）的教学课件，(2) 推送课件到指定企业微信账号，(3) 保存 HTML 课件到本地桌面，(4) 包含价格走势图表和趋势分析。支持通过环境变量配置企业微信 token 和接收人。

Not recommendedcritical or high security findings
ClawHub Agent Skills author: leozhang1431 v1.0.0 MIT-0 5 files body ≈ 570 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

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

ReferenceInfrastructuretype 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
76/100
safety, quality, tests
Safety 60%
76
Quality 40%
75
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

What is at stake

The skill contains fragments that, in the wrong hands, cost money or data. Below: what the installer risks and what the author should do.

Dangerous commands
If you install

The skill contains commands that delete files, rewrite disks or execute code fetched from the network. The agent may run them without asking if it believes the instructions require it.

For the author

Replace destructive commands with safe equivalents that ask for confirmation, scope them to one folder, and stop piping curl into a shell: pin a version and a checksum.

How to improve

  1. Address the high-severity findings: each costs 18 safety points. If one is a false positive, add the rule id to guard.allow in spec.yaml.
  2. 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 · 3

  • high Dangerous commands cmd-persistence references/cron-setup.md:35
    Persistence mechanism (cron / launchd / scheduled task / autorun registry)
    schtasks /Create /TN "每日金融课件推送" /TR "python.exe C:\Users\wwwir\.openclaw\workspace\skills\wework-financial-daily\scripts\generate_and_send.py" /SC DAILY /ST 09:00 /RL HIGHEST /F
Medium and low: 2
  • medium Dangerous commands cmd-eval-dynamic scripts/generate_and_send.py:522
    Dynamic code execution from decoded/untrusted input
    os.system(f"pip install {pkg} -i https://pypi.tuna.tsinghua.edu.cn/simple")
  • low Secrets in code secret-high-entropy-token scripts/generate_and_send.py:32
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    MINIO_SECRET_KEY = "wi2Z…K1g"
    quoted

Files scanned: 5. 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 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. 25 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 570 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

  • +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
  • -4Absolute local paths (C:\Users, /home/…): not portable
  • +1No license
  • +2Single-language instructions
  • +3Description length 146: enough signal without eating the budget
  • +4Structure: 14 headings
  • +3Step-by-step instructions: 25 items
  • +4Has examples (3 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.

External checks

ClawHub: suspicious
This skill does generate and send a daily financial teaching report, but it also hardcodes credentials, publishes reports to a public external storage service, and recommends elevated scheduled execution.
LLM: suspicious (high) · VirusTotal: · 29 May 2026