SKILLEMALL.ai

AC payql

Get live on-chain data from The Graph, paid per query in USDC over x402 — gasless, keyless, bring-your-own-wallet. Each query spends real USDC (~$0.01) from a wallet you control — use a dedicated, low-balance Base wallet. Discover the right live subgraph, see the price before paying, then pull the data in one loop. Trigger keywords: subgraph, The Graph, GraphQL, on-chain data, DeFi, DEX, pool, TVL, swap, NFT, ENS, token holders, governance, x402, pay per query, USDC, Base, gateway.

ClawHub Agent Skills author: PaulieB14 v0.1.5 MIT-0 4 files body ≈ 833 tokens Open the sourceclawhub.ai analyzed 3 d ago

Get live on-chain data from The Graph, paid per query in USDC over x402 — gasless, keyless, bring-your-own-wallet.

As a process C 51/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
93/100
safety, quality, tests
Safety 60%
97
Quality 40%
87
Run on models
none yet
Process rating
C
51/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
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 references/gateway.md:13
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      - **Payment:** the first request returns `402` with the challenge in a base64 **`payment-required` response header** (`accepts[]` → `scheme: exact`, `network: eip155:8453`, `asset:` USDC `0x83…CD6
      quoted
    • low Secrets in code secret-high-entropy-token references/gateway.md:18
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      Query The Graph **network subgraph** (`DZz4…qmp`) with its fulltext index, ranked by curation signal:
      quoted
    • low Secrets in code secret-high-entropy-token references/gateway.md:47
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      Example result (Uniswap V3, `5zvR…NFV`):
      quoted

    Files scanned: 4. 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 51/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 2 mutating operations with no state check
    • 40Consistency. Frontmatter name (payql) differs from the folder (payqlskill)
    • 50Failures and branches. 0 branches, has a failure section
    • 100Tools and files. No external tools needed
    • 100Steps. 9 steps
    • 100Execution cost. Instruction body is 833 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
    • +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 486: enough signal without eating the budget
    • +4Structure: 6 headings
    • +3Step-by-step instructions: 9 items
    • +4Has examples (1 code blocks)
    • +4Reference files are cited in the instructions (1 of 1)

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

    External checks

    ClawHub: clean
    PayQL is a clearly disclosed paid data-query skill that can spend small amounts of USDC from a configured wallet, with warnings and per-query controls aligned to its purpose.
    LLM: benign (high) · VirusTotal: · 6 Aug 2026