SKILLEMALL.ai

BB Stripe API Integration

Builds and debugs Stripe integrations: payments, subscriptions, Checkout, invoices, webhooks, Connect, disputes, tax. Use when a charge, refund, payout or subscription behaves wrong, when a webhook never arrives or its signature fails, when a card is declined or stuck on 3D Secure, when a customer was billed twice or the amount came out 100x off, when proration, trials, dunning or a plan change has to be exactly right, when splitting money across a marketplace with Connect, when disputes, chargebacks or fraud rules need work, when the payout does not match the bank, or when moving from test mode to live. Covers Payment Intents, Checkout Sessions, Payment Links, the Billing Portal, metered and tiered pricing, Stripe Tax, Radar, test clocks, idempotency, API versioning, and reconciliation. Not for choosing which payment provider to use (`payments`), PayPal integrations (`paypal`), App Store and Play Store purchases (`in-app-purchases`), or tracking the subscriptions you pay for as a consumer (`subscriptions`).

ClawHub Agent Skills author: Iván v1.0.4 MIT-0 23 files body ≈ 7 123 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process B 75/100 · Nearly there — weak spots: inputs and preconditions, consistency

IntegrationStripeCommerceFinancetype and topics are labelled automatically from the skill text
JSON
Technical rating
B
86/100
safety, quality, tests
Safety 60%
100
Quality 40%
66
Run on models
none yet
Process rating
B
75/100
Nearly there
Inputs and preconditions w 11
0
Consistency w 8
40
Tools and files w 18
60
the three weakest of ten parameters · all ten

How to improve

  1. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
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: 23. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
  • warning body-long SKILL.md body ≈ 7123 tokens (recommended < 5000); move details to references/
  • note frontmatter-key unknown frontmatter key "slug"
  • note frontmatter-key unknown frontmatter key "homepage"
  • note frontmatter-key unknown frontmatter key "changelog"

Process rating: all ten parameters 75/100

  • 0Inputs and preconditions. Does not say what the process needs to start
  • 40Consistency. Frontmatter name (Stripe API Integration) differs from the folder (stripe-api-integration)
  • 60Tools and files. Uses tools (bash, web, python, node) that frontmatter does not declare
  • 70Execution cost. Instruction body is 7123 tokens
  • 100Steps. 43 steps
  • 100Result and completion. Output format and completion criterion are stated
  • 100When it triggers. States when to use and when not to
  • 100Failures and branches. 4 branches, has a failure section
  • 100Running it twice. Mutating operations check current state
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 13 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
  • +3Description length 1023: 120–800 characters recommended
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +4Description says when NOT to use the skill
  • +4Structure: 13 headings
  • +3Step-by-step instructions: 43 items
  • +3Output format is stated explicitly

Quality base 70; lint remarks subtract, signals add up to 100. Result: 66.

External checks

ClawHub: clean
This is a disclosed Stripe operations skill with high-impact payment examples, but its local storage and Stripe access are coherent with its purpose and guarded by explicit confirmation rules.
LLM: benign (high) · VirusTotal: · 27 Jul 2026