SKILLEMALL.ai

AB infini-api

Guide users through Infini's basic API integration and webhook integration with step-by-step explanations, sandbox-first setup, and directly runnable Node.js or Python examples. Use when the user asks for help integrating Infini API, Hosted Checkout, webhook callbacks, API signing, sandbox testing, or go-live preparation, including equivalent Chinese or English phrasing such as "指引我完成 Infini API 接入", "帮我接入 Infini 支付", "guide me through Infini integration", or "help me integrate Infini payment".

ClawHub Agent Skills author: Beiyue v1.0.0 MIT-0 6 files body ≈ 2 015 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process B 69/100 · Nearly there — weak spots: result and completion, inputs and preconditions

IntegrationSoftware developmentCommerceInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
97/100
safety, quality, tests
Safety 60%
100
Quality 40%
93
Run on models
none yet
Process rating
B
69/100
Nearly there
Result and completion w 14
0
Inputs and preconditions w 11
0
When it triggers w 12
70
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 · 0

    ✓ No critical or high findings

    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 69/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 70When it triggers. States when to use, but not when not to
    • 85Steps. 69 steps, 1 vague phrases
    • 100Tools and files. No external tools needed
    • 100Failures and branches. 7 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2015 tokens
    • 100Running it twice. Mutating operations check current state
    • 100Progress reporting. Reports progress
    • low 11 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

    • +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
    • +5Description quotes 4 example trigger phrases
    • +3Description length 499: enough signal without eating the budget
    • +4Structure: 12 headings
    • +3Step-by-step instructions: 69 items
    • +4Has examples (2 code blocks)
    • +4Reference files are cited in the instructions (3 of 3)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 93.

    External checks

    ClawHub: clean
    The skill appears purpose-aligned, with the main caution that its webhook testing steps may send sandbox callback data to a third-party receiver.
    LLM: benign (medium) · VirusTotal: · 29 May 2026