AC usdg-x402-payments
Pay for AI-agent API calls in USDG (Global Dollar) on Robinhood Chain via the x402 protocol. Every paid endpoint on the Spraay x402 gateway — batch payments, AI inference, web search, oracles, escrow, payroll, and 150+ more — accepts USDG on Robinhood Chain (eip155:4663) at the same USD price as USDC. Use when the user wants to pay x402 endpoints with USDG, use a Robinhood Chain wallet for agent payments, or spend USDG programmatically. Independent integration with the public Robinhood Chain network; not affiliated with or endorsed by Robinhood.
Pay for AI-agent API calls in USDG (Global Dollar) on Robinhood Chain via the x402 protocol.
As a process C 56/100 · Has gaps — weak spots: result and completion, inputs and preconditions, running it twice
How to improve
- 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-tokenSKILL.md:69High-entropy token-like string (may be an id, hash or a credential) (documentation table row)| Asset (USDG) | `0x5f…168` |
table -
low Secrets in code
secret-high-entropy-tokenSKILL.md:137High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)const USDG = "0x5f…168";
quoted
Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- note
frontmatter-keyunknown frontmatter key "homepage"
Process rating: all ten parameters 56/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 30Running it twice. 4 mutating operations with no state check
- 50Failures and branches. 0 branches, has a failure section
- 60Tools and files. Uses tools (web) that frontmatter does not declare
- 70When it triggers. States when to use, but not when not to
- 100Steps. 34 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2484 tokens
- 100Progress reporting. Reports progress
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
- low 10 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)
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +3Description length 551: enough signal without eating the budget
- +4Structure: 11 headings
- +3Step-by-step instructions: 34 items
- +4Has examples (2 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 83.