skills: inference.sh Agent skills for using our API to give your agents access to hundreds of apps and other agents

by inference-sh · Agent Tool · ★ 769

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

How to install skills

/plugin marketplace add inference-sh/skills
/plugin install inference-sh@inference-sh-skills

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 66/100

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.

Quick Facts

Stars769
Forks105
LanguageShell
CategoryAgent Tool
Quality Score66/100
Open Issues3
Last Updated2026-10-15
Created2026-01-31
Platformscli
Est. Tokens~11k

About skills

inference.sh skills AI agent skills for models via inference.sh CLI. Generate images, videos, call LLMs, search the web, and more. Contents Install as Claude Code Plugin Install as Skills CLI Setup Available Skills Documentation Claude Code Plugin Install all skills as a Claude Code plugin: Or add from GitHub: After install, skills are available as , , etc.

Compatible Skills

These tools work well together with skills for enhanced workflows:

  • agent-skills — semantic(0.20)+complementary+same_lang+similar_pop+shared_platform (57%)
  • forward-implementation-first — semantic(0.16)+complementary+same_lang+similar_pop+shared_platform (55%)
  • teamcity-cli — semantic(0.24)+complementary+similar_pop+shared_platform (48%)

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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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