Mobile Payment Tokenization Patterns
Mobile Payment Tokenization Patterns is an Application security skill for AI agents, published by allsmog in the vuln-scout repository on GitHub. Skillspace rates Mobile Payment Tokenization Patterns F (45/100) and the safety scan rated it risky; the rating is based on static analysis only.
Risky. This skill has patterns associated with unsafe behaviour. Read the source carefully before running it.
Use this skill when reviewing mobile code that handles card data, payment tokenization, or third-party payment SDK integrations (Braintree, Stripe, Adyen, Google Pay, Apple Pay, FirstData-style iframe encryptors). The skill catalogues the high-signal attack patterns vuln-scout detects in mobile payment flows — server-controlled tokenization URLs, JavaScript-injection-into-WebView card-data exfiltration, JS-bridge token construction, and payment scope mismatches — and maps each to the detector that fires.
- Grade
- F
- Quality
- 45 / 100
- Safety
- Risky
- GitHub stars
- 22
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since.
Our review
- Architecture
- 88 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- High-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- exfiltration language
- mentions secrets in text
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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