CodexSaver: Make Codex cheaper without making it dumber with DeepSeek

by fendouai · Codex Skill · ★ 604

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

How to install CodexSaver

git clone https://github.com/fendouai/CodexSaver

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

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.

codexdeepseek

Quick Facts

Stars604
Forks49
LanguagePython
CategoryCodex Skill
Quality Score64/100
Open Issues1
Last Updated2026-05-31
Created2026-05-06
Platformscodex, python
Est. Tokens~132k

About CodexSaver

CodexSaver Make Codex cheaper without making it dumber. 中文文档 CodexSaver is an MCP tool that turns Codex into a cost-aware router. It pushes low-risk development work to a cheaper worker LLM, keeps high-risk judgment in Codex, and returns enough interaction detail that you can feel when the tool is active.

Compatible Skills

These tools work well together with CodexSaver for enhanced workflows:

  • mineru-tianshu — semantic(0.17)+complementary+same_lang+similar_pop+shared_platform (56%)
  • skills — semantic(0.17)+complementary+same_lang+similar_pop+shared_platform (51%)
  • harvester — semantic(0.15)+complementary+same_lang+similar_pop+shared_platform (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:

View on GitHub → Browse Codex Skill tools