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Soulprint decentralized identity verification for AI agents. v0.6.4 — blockchain-first architecture (no libp2p): state lives on Base Sepolia, 4 validator nodes on Railway, ZK proofs (Circom, local verification). Use when: proving a real human is behind a bot, issuing privacy-preserving identity proofs, running a validator node, adding identity verification middleware to an API or MCP server, checking bot reputation scores, or enforcing protocol-level configurable trust thresholds.

ClawHub Agent Skills author: Manuel Felipe Arias v1.0.25 2 files body ≈ 1 243 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process D 47/100 · Unfinished process — weak spots: result and completion, inputs and preconditions, failures and branches

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
A
93/100
safety, quality, tests
Safety 60%
97
Quality 40%
87
Run on models
none yet
Process rating
D
47/100
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

    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 · 3

    ✓ No critical or high findings

    Medium and low: 3
    • low Secrets in code secret-high-entropy-token SKILL.md:47
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      - `PeerRegistry`: `0x45…15b`
      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) (quoted — discussed, not commanded)
      - `ProtocolThresholds`: `0xD8…ab1`
      quoted
    • low Secrets in code secret-high-entropy-token SKILL.md:51
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      - `MCPRegistry`: `0x59…C2a`
      quoted

    Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "homepage"

    Process rating: all ten parameters 47/100

    • 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
    • 30Running it twice. 2 mutating operations with no state check
    • 50When it triggers. No condition that starts the skill
    • 60Tools and files. Uses tools (node) that frontmatter does not declare
    • 100Steps. 17 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1243 tokens

    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
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +3Description length 485: enough signal without eating the budget
    • +4Structure: 15 headings
    • +3Step-by-step instructions: 17 items
    • +4Has examples (7 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.

    External checks

    ClawHub: suspicious
    This identity-verification skill is purpose-aligned, but it needs review because it handles government ID, face/biometric data, blockchain identity state, and validator credentials without clear enough privacy and control boundaries.
    LLM: suspicious (high) · VirusTotal: suspicious · 28 May 2026