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FD Stock Master Pro

A 股智能盯盘与选股系统，基于 QVeris AI 数据源。提供持仓监控（10 分钟自动检查）、实时预警、午盘/尾盘复盘、趋势选股等功能。支持创业板和主板（不含科创板）。 使用方式： - 对话触发：用户说"午盘复盘"、"我的持仓"、"帮我选股"等 - Web 界面：访问 file:///home/yaoha/.openclaw/workspace/skills/stock-master-pro/web/index.html

Blockedguard blocked the skill: signs of malicious behaviour
ClawHub Agent Skills author: seedew v0.0.1 MIT-0 27 files · 2 scripts body ≈ 1 513 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureInfrastructuretype 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
F
24/100
safety, quality, tests
Safety 60%
0
Quality 40%
59
Run on models
none yet
Process rating
D
49/100
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
Guard blocked this skill: critical findings below. Do not install it until the author fixes them.

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.

Secrets in code
If you install

The files contain someone else's key or token. If it is live, your agent will call third-party services under a stranger's identity; if it was revoked, the skill's scripts simply fail. Such a key often arrives with the author's whole workspace, personal data included.

For the author

The key is visible to everyone who downloaded the skill and has likely been copied by catalog-scanning bots already. Revoke it now, check bills and access logs, then reissue.

Dangerous commands medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

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. Remove the critical guard findings (secrets, dangerous commands, hidden instructions): while they stand the skill is blocked and cannot grade above F.
  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 · 8

  • critical Secrets in code secret-openai-key INSTALL_SUMMARY.md:50
    OpenAI-style API key (quoted — discussed, not commanded)
    export QVERIS_API_KEY="sk-G…OZI"
    quoted
  • critical Secrets in code secret-openai-key INSTALL_SUMMARY.md:53
    OpenAI-style API key (quoted — discussed, not commanded)
    echo 'export QVERIS_API_KEY="sk-G…OZI"' >> ~/.bashrc
    quoted
Medium and low: 6
  • medium Dangerous commands cmd-shell-rc INSTALL_SUMMARY.md:53
    Writes to a shell startup file
    echo 'export QVERIS_API_KEY="sk-G…OZI"' >> ~/.bashrc
  • low Secrets in code secret-high-entropy-token INSTALL_SUMMARY.md:50
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    export QVERIS_API_KEY="sk-G…OZI"
    quoted
  • low Secrets in code secret-high-entropy-token INSTALL_SUMMARY.md:53
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    echo 'export QVERIS_API_KEY="sk-G…OZI"' >> ~/.bashrc
    quoted
  • low Dangerous commands cmd-cron-mention INSTALL_SUMMARY.md:190
    Mentions editing / listing crontab
    crontab -e
  • low Dangerous commands cmd-cron-mention SETUP.md:160
    Mentions editing / listing crontab
    crontab -e
  • low Dangerous commands cmd-cron-mention USAGE_GUIDE.md:88
    Mentions editing / listing crontab
    crontab -e

Files scanned: 27. 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 "read_when"

Process rating: all ten parameters 49/100

  • 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
  • 40Consistency. Frontmatter name (Stock Master Pro) differs from the folder (stock-master-pro)
  • 100Tools and files. Tools declared in frontmatter
  • 100Steps. 85 steps
  • 100Execution cost. Instruction body is 1513 tokens
  • 100Running it twice. No mutating operations
  • low 10 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
  • -2localhost URLs: will not work for another user
  • -242 emoji in the instructions: noise for the model
  • -33 of 9 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 213: enough signal without eating the budget
  • +4Structure: 41 headings
  • +3Step-by-step instructions: 85 items
  • +4Has examples (19 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 59.

External checks

ClawHub: suspicious
This stock-monitoring skill is mostly purpose-aligned, but it needs Review because it includes unsafe credential handling and under-scoped persistence around sensitive portfolio data.
LLM: suspicious (high) · VirusTotal: · 29 May 2026