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CD whale-alert-monitor

追踪加密货币巨鲸动向、大额转账预警、交易所资金流向分析。 当你想追踪聪明钱的每一步，监测大户交易行为时使用此技能。 已接入 SkillPay，每次调用 0.01 USDT。

ClawHub Agent Skills author: shenmeng v1.99.99 MIT-0 13 files body ≈ 110 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
C
69/100
safety, quality, tests
Safety 60%
77
Quality 40%
57
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
This is a copy of a skill from another catalog; the rating counts the canonical one: whale-alert-monitor (ClawHub)

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Exfiltration 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 instructions or scripts send data out: environment variables, keys, file contents, chat history. You may never notice, because the agent performs the upload as "part of the task".

For the author

If the upload is not needed for the task, remove it: catalogs flag such skills and delist them. If it is needed, name the destination explicitly, say what leaves the machine, and give the user a switch.

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 · 19

✓ No critical or high findings

Medium and low: 19
  • medium Exfiltration exfil-webhook-url scripts/alert_manager.py:149
    Webhook / callback URL commonly used for exfiltration (verify the destination) (quoted — discussed, not commanded)
    url = f"https://api.telegram.org/bot{bot_token}/sendMessage"
    quoted
  • low Secrets in code secret-high-entropy-token README.md:48
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    - address: "0x74…8D3"
    quoted
  • low Secrets in code secret-high-entropy-token references/wallet-labels.md:7
    High-entropy token-like string (may be an id, hash or a credential)
    0x3f…0bE  # 热钱包1
  • low Secrets in code secret-high-entropy-token references/wallet-labels.md:8
    High-entropy token-like string (may be an id, hash or a credential)
    0xdB…BB6  # 热钱包2
  • low Secrets in code secret-high-entropy-token references/wallet-labels.md:9
    High-entropy token-like string (may be an id, hash or a credential)
    0x5a…fcb  # 冷钱包
  • low Secrets in code secret-high-entropy-token references/wallet-labels.md:14
    High-entropy token-like string (may be an id, hash or a credential)
    0x71…5d3
  • low Secrets in code secret-high-entropy-token references/wallet-labels.md:15
    High-entropy token-like string (may be an id, hash or a credential)
    0x50…3Da
  • low Secrets in code secret-high-entropy-token scripts/exchange_flow.py:50
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    '0x3f…0bE',
    quoted
  • low Secrets in code secret-high-entropy-token scripts/exchange_flow.py:51
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    '0xdB…BB6',
    quoted
  • low Secrets in code secret-high-entropy-token scripts/exchange_flow.py:52
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    '0x5a…fcb'
    quoted
  • low Secrets in code secret-high-entropy-token scripts/exchange_flow.py:58
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    '0x71…5d3',
    quoted
  • low Secrets in code secret-high-entropy-token scripts/exchange_flow.py:59
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    '0x50…3Da'
    quoted
  • low Secrets in code secret-high-entropy-token scripts/holding_analyzer.py:264
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    address = "0x74…8D3"
    quoted
  • low Secrets in code secret-high-entropy-token scripts/monitor_daemon.py:185
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    'address': '0x74…8D3',
    quoted
  • low Secrets in code secret-high-entropy-token scripts/whale_tracker.py:53
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    '0x3f…0bE': 'Binance Hot Wallet 1',
    quoted
  • low Secrets in code secret-high-entropy-token scripts/whale_tracker.py:54
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    '0xdB…BB6': 'Binance Hot Wallet 2',
    quoted
  • low Secrets in code secret-high-entropy-token scripts/whale_tracker.py:55
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    '0x71…5d3': 'Coinbase',
    quoted
  • low Secrets in code secret-high-entropy-token scripts/whale_tracker.py:56
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    '0x2B…BB9': 'KuCoin',
    quoted
  • low Secrets in code secret-high-entropy-token scripts/whale_tracker.py:263
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    tracker.add_wallet("0x74…8D3", "Smart Whale A")
    quoted

Files scanned: 13. 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 "changelog"

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 (whale-alert-monitor) differs from the folder (shenmeng-whale-alert-monitor-v2)
  • 100Tools and files. No external tools needed
  • 100Steps. 14 steps
  • 100Execution cost. Instruction body is 110 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)
  • +3Description length 86: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +4No input/output examples
  • -42 reference files, but SKILL.md never points to them: the model will not open them
  • -36 of 6 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +4Structure: 6 headings
  • +3Step-by-step instructions: 14 items

Quality base 70; lint remarks subtract, signals add up to 100. Result: 57.

External checks

ClawHub: suspicious
This paid crypto-monitoring skill is marketed as live whale tracking, but its core reports and alerts are generated from random simulated data.
LLM: suspicious (high) · VirusTotal: · 29 May 2026