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BD crypto-whale-monitor

Monitors large cryptocurrency wallet balances (whales) on-chain using Web3 RPC to detect potential market-moving activity. Can read from `references/wallets.md` or accept custom addresses.

ClawHub Agent Skills author: waleolapo v1.0.3 6 files body ≈ 174 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

AnalyzerInfrastructuretype 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
87/100
safety, quality, tests
Safety 60%
95
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

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 · 5

✓ No critical or high findings

Medium and low: 5
  • low Secrets in code secret-high-entropy-token references/wallets.md:6
    High-entropy token-like string (may be an id, hash or a credential)
    - 0x47…50: Whale 1 - Known large institutional holder (>$100M)
  • low Secrets in code secret-high-entropy-token references/wallets.md:7
    High-entropy token-like string (may be an id, hash or a credential)
    - 0x9f…2A: Whale 2 - Large exchange/custodian deposit wallet (potential market impact)
  • low Secrets in code secret-high-entropy-token references/wallets.md:8
    High-entropy token-like string (may be an id, hash or a credential)
    - 0x6e…d6: Whale 3 - Early Bitcoin/Ethereum investor
  • low Secrets in code secret-high-entropy-token scripts/monitor.js:50
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    '0xBE…3E8', // Binance 7
    quoted
  • low Secrets in code secret-high-entropy-token scripts/monitor.js:51
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    '0xAb…C9B'  // Vitalik Buterin
    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 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 (bash) that frontmatter does not declare
  • 100Steps. 6 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 174 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
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +3Description length 188: enough signal without eating the budget
  • +4Structure: 4 headings
  • +3Step-by-step instructions: 6 items
  • +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: clean
This skill does what it says: it checks listed Ethereum wallet balances through a public RPC endpoint and prints alerts, with no hidden install hooks or destructive behavior found.
LLM: benign (high) · VirusTotal: suspicious · 10 Sept 2026