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BD chaoschain

Verify AI agent identity and reputation via ERC-8004 on-chain registries

ClawHub Agent Skills author: SumeetChougule v1.0.2 10 files · 1 script body ≈ 1 593 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

AnalyzerAI and agentsInfrastructuretype 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
76/100
safety, quality, tests
Safety 60%
83
Quality 40%
66
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

What is at stake

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

Risky intent 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 purpose itself is risky: wallets, browser password stores, offensive security. Even an honest implementation gives the agent access to things that cost money.

For the author

Explain in the description why the access is needed and how it is limited; add tests that show refusals on dangerous requests.

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 · 13

✓ No critical or high findings

Medium and low: 13
  • medium Risky intent intent-wallet-secrets skill-card.md:17
    Handles crypto-wallet secrets (seed / mnemonic / private key) — a classic stealer target
    External users and developers use this skill to check whether an AI agent has an ERC-8004 identity and to review on-chain reputation signals before trusting that agent. Users can also check their own
  • low Secrets in code secret-high-entropy-token README.md:171
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    `IdentityRegistry` `0x80…432`
    quoted
  • low Secrets in code secret-high-entropy-token README.md:172
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    `ReputationRegistry` `0x80…b63`
    quoted
  • low Secrets in code secret-high-entropy-token README.md:187
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    `IdentityRegistry` `0x80…D9e`
    quoted
  • low Secrets in code secret-high-entropy-token README.md:188
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    `ReputationRegistry` `0x80…713`
    quoted
  • low Secrets in code secret-high-entropy-token scripts/chaoschain_skill.py:27
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    MAINNET_IDENTITY_REGISTRY = "0x80…432"
    quoted
  • low Secrets in code secret-high-entropy-token scripts/chaoschain_skill.py:28
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    MAINNET_REPUTATION_REGISTRY = "0x80…b63"
    quoted
  • low Secrets in code secret-high-entropy-token scripts/chaoschain_skill.py:29
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    TESTNET_IDENTITY_REGISTRY = "0x80…D9e"
    quoted
  • low Secrets in code secret-high-entropy-token scripts/chaoschain_skill.py:30
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    TESTNET_REPUTATION_REGISTRY = "0x80…713"
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:237
    High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
    | Mainnet (all supported mainnet chains) | Identity | `0x80…432` |
    table
  • low Secrets in code secret-high-entropy-token SKILL.md:238
    High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
    | Mainnet (all supported mainnet chains) | Reputation | `0x80…b63` |
    table
  • low Secrets in code secret-high-entropy-token SKILL.md:239
    High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
    | Testnet (all supported testnet chains) | Identity | `0x80…D9e` |
    table
  • low Secrets in code secret-high-entropy-token SKILL.md:240
    High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
    | Testnet (all supported testnet chains) | Reputation | `0x80…713` |
    table

Files scanned: 10. 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 (python) that frontmatter does not declare
  • 100Steps. 47 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1593 tokens
  • 100Running it twice. Mutating operations check current state
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

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 72: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -35 of 6 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +4Structure: 18 headings
  • +3Step-by-step instructions: 47 items
  • +4Has examples (10 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 66.

External checks

ClawHub: suspicious
The skill mostly does the advertised ChaosChain lookup work, but it also signs and broadcasts blockchain registration transactions with a configured private key while under-warning users about mainnet risk.
LLM: suspicious (high) · VirusTotal: · 10 Sept 2026