jentic-public-apis: Directory of OpenAPI specifications for thousands of public APIs

by jentic · Agent Tool · ★ 264

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

Security audit verdict: SAFE · quality 64/100

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. Full audit →

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.

agent-toolsai-agentai-agentsapiapi-catalogapi-directoryapi-discoveryapi-documentationapisarazzo

Quick Facts

Stars264
Forks36
CategoryAgent Tool
LicenseCC0-1.0
Quality Score64/100
Open Issues1804
Last Updated2026-10-22
Created2025-03-31
Est. Tokens~18k

About jentic-public-apis

Jentic Public APIs Join our community! Connect with contributors and users on Discord to discuss ideas, ask questions, and collaborate on the Jentic Public APIs repository. Quick access API Index: 0 · 1 · 2 · 3 · 4 · 5 · 6 · 7 · 8 · 9 · A · B · C · D · E · F · G · H · I · J · K · [L](index/api

Compatible Skills

These tools work well together with jentic-public-apis for enhanced workflows:

  • sourcey — semantic(0.18)+complementary+rare_topics+similar_pop (55%)
  • public-apis-live — semantic(0.35)+complementary+rare_topics+similar_pop (52%)
  • mcp-swagger-server — semantic(0.33)+complementary+rare_topics+similar_pop (51%)
  • openapi-to-cli — semantic(0.31)+complementary+rare_topics+similar_pop (50%)
  • skills — semantic(0.43)+complementary+similar_pop (50%)

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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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