payram-agent-onboarding

payram-agent-onboarding is a Payments & billing integration skill for AI agents, published by PayRam in the payram-mcp repository on GitHub. Skillspace rates payram-agent-onboarding D (66/100) and the safety scan flagged it for review; the rating is based on static analysis only.

Deploy and automate PayRam for AI agents and CLI-only environments. No web UI required — pure API-driven payment infrastructure. Install via setup_payram_agents.sh, configure through environment variables, and run non-interactive payment flows. Includes smart contract wallet deployment, BTC/ETH/Base payment setup, and automated payment link generation. Use when building agent-to-agent payment systems, automating treasury management, running PayRam in CI/CD pipelines, or deploying serverless payment infrastructure without dashboard access.

Grade
D
Quality
66 / 100
Safety
Needs review
GitHub stars
154

Unproven: rated by static analysis only, not yet compared head-to-head.

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

Our review

Architecture
96 / 100
Maturity
Basic: a single SKILL.md
Security scan
Medium-risk patterns
License
Not declared. Check the repository before reusing it.
Adoption
Adopted by 0 other repositories, in 0 collections

What the scanner flagged

  • suspicious outbound endpoint
  • 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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