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AD sato-hub

Query Sato Hub, the scored, daily-rebuilt index of onchain-agent tooling (frameworks, MCP servers, wallets, x402 and stablecoin payment rails, ERC-8004 identity, trading venues, agent skills) plus measured agent-economy numbers and Agent Passports. Use for questions about what to build a crypto agent from, which tools support a chain or standard, whether a crypto-agent project is real, maintained and open source, or for a citable on-chain adoption figure. Read-only, keyless, via the hosted MCP server at https://satohub.ai/api/mcp or a bundled curl script.

ClawHub Agent Skills author: Sato Hub v0.1.0 MIT-0 6 files · 1 script body ≈ 2 451 tokens Open the sourceclawhub.ai↗ analyzed 55 min ago

Query Sato Hub, the scored, daily-rebuilt index of onchain-agent tooling (frameworks, MCP servers, wallets, x402 and stablecoin payment rails, ERC-8004…

As a process D 43/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureAI and agentstype 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
95/100
safety, quality, tests
Safety 60%
98
Quality 40%
91
Run on models
none yet
Process rating
D
43/100
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 · 2

    ✓ No critical or high findings

    Medium and low: 2
    • low Secrets in code secret-high-entropy-token references/examples.md:206
      High-entropy token-like string (may be an id, hash or a credential) (test fixture / example file; quoted — discussed, not commanded)
      scripts/query.sh preflight '{"token":"0x1b…Bcb","chain":"Base","response_format":"json"}'
      fixturequoted
    • low Secrets in code secret-high-entropy-token references/examples.md:228
      High-entropy token-like string (may be an id, hash or a credential) (test fixture / example file; quoted — discussed, not commanded)
      scripts/query.sh route_swap '{"chain":"Solana","token_in":"EPjF…t1v","token_out":"So11…112","amount":"1000000","response_format":
      fixturequoted

    Files scanned: 6. 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 43/100

    • 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
    • 30Running it twice. 11 mutating operations with no state check
    • 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
    • 100Steps. 39 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2451 tokens
    • 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)
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +3Description length 561: enough signal without eating the budget
    • +4Structure: 8 headings
    • +3Step-by-step instructions: 39 items
    • +4Has examples (1 code blocks)
    • +4Reference files are cited in the instructions (3 of 3)
    • +3All 1 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 91.

    External checks

    ClawHub: suspicious
    The skill is mostly a disclosed Sato Hub query integration, but its read-only framing is contradicted by write-capable remote tools and finance-adjacent routing outputs that users should review carefully.
    LLM: suspicious (high) · 17 Sept 2026