nanocodex: Building blocks for frontier OpenAI agents in Rust

by gakonst · Codex Skill · ★ 564

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

Security audit verdict: SAFE · quality 68/100

Flagged: install step in a code block runs a script from an untrusted host. 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.

aiai-agentai-agentsanthropicchatgptclaudeclaude-codecodexhermeshermes-agent

Quick Facts

Stars564
Forks82
LanguageRust
CategoryCodex Skill
LicenseApache-2.0
Quality Score68/100
Open Issues30
Last Updated2026-10-12
Created2026-07-15
Platformsclaude-code, codex, rust
Est. Tokens~24k

About nanocodex

Nanocodex Building blocks for frontier OpenAI agents. [][ci] [][crates] [][docs] [][license] Install · Agent API · Thesis · Components · VM-backed tools · Documentation [ci]: https://github.com/gakonst/nanocodex/actions/workflows/ci.yml [crates]: https://crates.io/crates/nanocodex [docs]: https://docs.rs/nanocodex [license]: LICENSE-MIT Install Install the Nanocodex CLI on macOS or Linux: Or add...

Compatible Skills

These tools work well together with nanocodex for enhanced workflows:

  • codexia — semantic(0.27)+complementary+shared_fw(openai)+similar_pop+shared_platform (57%)
  • codex-hygiene — semantic(0.26)+complementary+shared_fw(openai)+similar_pop+shared_platform (57%)
  • rust-mcp-sdk — semantic(0.17)+complementary+same_lang+similar_pop+shared_platform (56%)

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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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