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FC hk-stock-monitor

港股+A股实时盯盘系统，支持技术分析、涨跌幅告警、飞书推送。使用场景：(1) 查询港股/A股实时行情，(2) 监控股票涨跌幅告警，(3) 生成技术分析报告，(4) 定时推送盯盘报告。触发关键词：盯盘、股票监控、港股行情、A股行情、涨跌告警、技术分析。

Blockedguard blocked the skill: signs of malicious behaviour
ClawHub Agent Skills author: merlini0116 v1.0.0 MIT-0 6 files body ≈ 359 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

As a process C 53/100 · Has gaps — 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
36/100
safety, quality, tests
Safety 60%
8
Quality 40%
79
Run on models
none yet
Process rating
C
53/100
Has gaps
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 If it is live, your agent will call third-party services under a stranger's identity; if it was revoked, the skill's scripts simply fail.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.

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 · 4

  • critical Secrets in code secret-openai-key scripts/data-sources.js:15
    OpenAI-style API key (quoted — discussed, not commanded)
    qverisApiKey: process.env.QVERIS_API_KEY || 'sk-p…5Gs',
    quoted
  • critical Secrets in code secret-openai-key scripts/monitor.js:66
    OpenAI-style API key (quoted — discussed, not commanded)
    qverisApiKey: process.env.QVERIS_API_KEY || 'sk-p…5Gs',
    quoted
Medium and low: 2
  • low Secrets in code secret-high-entropy-token scripts/data-sources.js:15
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    qverisApiKey: process.env.QVERIS_API_KEY || 'sk-p…5Gs',
    quoted
  • low Secrets in code secret-high-entropy-token scripts/monitor.js:66
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    qverisApiKey: process.env.QVERIS_API_KEY || 'sk-p…5Gs',
    quoted

Files scanned: 6. 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 53/100

  • 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
  • 100Tools and files. No external tools needed
  • 100Steps. 7 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 359 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
  • +1No license
  • +2Single-language instructions
  • +3Description length 125: enough signal without eating the budget
  • +4Structure: 12 headings
  • +3Step-by-step instructions: 7 items
  • +4Has examples (5 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)
  • +3All 3 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.

External checks

ClawHub: suspicious
This stock-monitoring skill broadly matches its purpose, but it ships with embedded external-service credentials and a preset Feishu destination that could send alert data somewhere the installer did not choose.
LLM: suspicious (high) · VirusTotal: · 29 May 2026