SKILLEMALL.ai

AC graph-advocate

Route any blockchain data question to the right Graph Protocol service. Returns live data from 15,500+ subgraphs, Token API (EVM/Solana/TON + Polymarket + Hyperliquid), x402 payment analytics, cross-venue prediction-market spreads (Polymarket ↔ Limitless, Polymarket ↔ Kalshi), and protocol-specific MCP packages. Trigger keywords: subgraph, token, balance, holder, swap, pool, TVL, DeFi, NFT, Aave, Uniswap, Polymarket, Limitless, Kalshi, prediction market spread, arbitrage, Hyperliquid, perps, ENS, governance, x402, onchain data, blockchain.

ClawHub Agent Skills author: PaulieB14 v2.11.1 MIT-0 9 files body ≈ 4 065 tokens Open the sourceclawhub.ai analyzed 2 d ago

Route any blockchain data question to the right Graph Protocol service.

As a process C 57/100 · Has gaps — weak spots: when it triggers, inputs and preconditions, running it twice

IntegrationData and analyticsAI and agentsSales and CRMtype and topics are labelled automatically from the skill text
JSON
Technical rating
A
94/100
safety, quality, tests
Safety 60%
96
Quality 40%
90
Run on models
none yet
Process rating
C
57/100
Has gaps
Inputs and preconditions w 11
0
When it triggers w 12
20
Running it twice w 4
30
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 · 4

    ✓ No critical or high findings

    Medium and low: 4
    • low Secrets in code secret-high-entropy-token references/token-api.md:15
      High-entropy token-like string (may be an id, hash or a credential)
      | USDC | 0xA0…B48 | 0x83…913 |
    • low Secrets in code secret-high-entropy-token references/token-api.md:16
      High-entropy token-like string (may be an id, hash or a credential)
      | WETH | 0xC0…Cc2 | 0x42…006 |
    • low Secrets in code secret-high-entropy-token references/token-api.md:17
      High-entropy token-like string (may be an id, hash or a credential)
      | USDT | 0xdA…ec7 | — |
    • low Secrets in code secret-high-entropy-token SKILL.md:226
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      Payments are received by Ampersend smart account `0x0F…C86`.
      quoted

    Files scanned: 9. 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 57/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 11 mutating operations with no state check
    • 55Failures and branches. 1 branches
    • 60Tools and files. Uses tools (web, node) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 70Execution cost. Instruction body is 4065 tokens
    • 100Steps. 35 steps
    • 100Consistency. Name and required fields are in place
    • 100Progress reporting. Reports progress
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
    • low 12 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 545: enough signal without eating the budget
    • +4Structure: 19 headings
    • +3Step-by-step instructions: 35 items
    • +3Output format is stated explicitly
    • +4Has examples (5 code blocks)
    • +4Reference files are cited in the instructions (6 of 6)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 90.

    External checks

    ClawHub: suspicious
    This is mostly a disclosed blockchain-data routing skill, but it includes an optional unpinned npm execution path and broad finance-query routing that users should review before installing.
    LLM: suspicious (medium) · VirusTotal: · 12 Sept 2026