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AC walletlens

Advanced multi-chain wallet analyzer with USD pricing, collection names, ENS support, and sophisticated bot detection across 8 EVM networks. Use when you need to: (1) analyze wallet profiles with USD valuations and natural language summaries, (2) inspect smart contract details and token information, (3) track NFT portfolios with resolved collection names, (4) examine transaction history and transfer patterns, (5) detect potential bot accounts through advanced behavioral analysis, (6) perform due diligence on addresses with comprehensive insights, (7) investigate cross-chain activity with ENS domain support. Supports ApeChain (primary), Ethereum, Base, Arbitrum, Polygon, Optimism, Avalanche, and BNB Chain with automatic retry logic and human-readable output.

ClawHub Agent Skills author: Luigi08001 v3.1.0 15 files body ≈ 2 393 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process C 63/100 · Has gaps — weak spots: when it triggers, consistency, progress reporting

AnalyzerInfrastructureFinancetype 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
A
93/100
safety, quality, tests
Safety 60%
93
Quality 40%
94
Run on models
none yet
Process rating
C
63/100
Has gaps
Progress reporting w 2
0
When it triggers w 12
20
Consistency w 8
40
the three weakest of ten parameters · all ten

How to improve

    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 · 7

    ✓ No critical or high findings

    Medium and low: 7
    • low Secrets in code secret-high-entropy-token package.json:16
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      "test:chains": "for chain in apechain ethereum base arbitrum; do echo \"Testing $chain...\"; node scripts/wallet-lookup.js 0xd8…045 --chain $chain; done",
      detector
    • low Secrets in code secret-high-entropy-token scripts/lib/rpc.js:16
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      const ENS_REGISTRY = "0x00…e1e";
      quoted
    • low Secrets in code secret-high-entropy-token SKILL.md:50
      High-entropy token-like string (may be an id, hash or a credential)
      node scripts/wallet-lookup.js 0xd8…045 --chain ethereum --pretty
    • low Secrets in code secret-high-entropy-token TEST-RESULTS-v3.md:141
      High-entropy token-like string (may be an id, hash or a credential) (test fixture / example file; quoted — discussed, not commanded)
      **Address**: `0xd8…045`
      fixturequoted
    • low Secrets in code secret-high-entropy-token TEST-RESULTS-v3.md:275
      High-entropy token-like string (may be an id, hash or a credential) (test fixture / example file)
      node scripts/wallet-lookup.js 0xd8…045 --chain ethereum --pretty
      fixture
    • low Secrets in code secret-high-entropy-token TEST-RESULTS.md:40
      High-entropy token-like string (may be an id, hash or a credential) (test fixture / example file; quoted — discussed, not commanded)
      #### Test Wallet: `0xd8…045` (vitalik.eth)
      fixturequoted
    • low Secrets in code secret-high-entropy-token TEST-RESULTS.md:56
      High-entropy token-like string (may be an id, hash or a credential) (test fixture / example file; quoted — discussed, not commanded)
      Tested vitalik.eth (`0xd8…045`) across chains:
      fixturequoted

    Files scanned: 15. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 63/100

    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 40Consistency. Frontmatter name (walletlens) differs from the folder (apechain-reader)
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (web) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Steps. 53 steps
    • 100Execution cost. Instruction body is 2393 tokens
    • 100Running it twice. No mutating operations
    • low 13 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)
    • +1No license
    • +2Single-language instructions
    • +3Description length 767: enough signal without eating the budget
    • +4Structure: 36 headings
    • +3Step-by-step instructions: 53 items
    • +3Output format is stated explicitly
    • +4Has examples (19 code blocks)
    • +4Reference files are cited in the instructions (2 of 2)
    • +3All 5 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 94.

    External checks

    ClawHub: clean
    This is a read-only blockchain wallet analysis skill with expected third-party lookups and optional Alchemy use, but no evidence of hidden mutation, persistence, or exfiltration.
    LLM: benign (high) · VirusTotal: benign · 28 May 2026