starknet-agentic: Smart contracts, tools, and skills for AI agents that transact on Starknet

by keep-starknet-strange · Codex Skill · ★ 80

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install starknet-agentic

npx skills add keep-starknet-strange/starknet-agentic/skills/cairo-auditor
/plugin marketplace add keep-starknet-strange/starknet-agentic

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 74/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

agentic-frameworkchatgptclaudeclaude-codecodexmoltbookopenclawstarknet

Quick Facts

Stars80
Forks27
LanguageTypeScript
CategoryCodex Skill
LicenseMIT
Quality Score74/100
Open Issues29
Last Updated2026-10-05
Created2026-01-31
Platformsclaude-code, codex, node
Est. Tokens~17k

About starknet-agentic

Starknet Agentic Production-grade Starknet agent infrastructure: secure Cairo contracts, MCP/A2A runtimes, x402 payment helpers, end-to-end examples, and installable agent skills. This repository is for developers building agents that need Starknet-native wallets, policy-enforced execution, on-chain identity, and composable tool access.

Compatible Skills

These tools work well together with starknet-agentic for enhanced workflows:

  • ClawRecipes — semantic(0.22)+complementary+rare_topics+same_lang+similar_pop+shared_platform (57%)
  • codex-mcp-server — semantic(0.19)+complementary+same_lang+similar_pop+shared_platform (57%)
  • agent-swarm — semantic(0.16)+complementary+same_lang+similar_pop+shared_platform (56%)
  • codexia — semantic(0.28)+complementary+same_lang+similar_pop+shared_platform (55%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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