failproofai

About failproofai

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agent-failure agent-reliability ai ai-agent claude claude-code claude-hooks codex coding-agent cursor

Quick Facts

Stars	130
Forks	22
Language	TypeScript
Category	Codex Skill
Quality Score	64.0027628923063/100
Open Issues	18
Last Updated	2026-07-07
Created	2026-04-06
Platforms	claude-code, cli, codex, gemini, node
Est. Tokens	~15k

Compatible Skills

These tools work well together with failproofai for enhanced workflows:

failproofai — semantic(1.00)+rare_topics+same_lang+similar_pop+shared_platform (70%)
octogent — semantic(0.19)+complementary+rare_topics+same_lang+similar_pop+shared_platform (61%)
pi-mcp-adapter — semantic(0.24)+complementary+same_lang+similar_pop+shared_platform (59%)
claw-orchestrator — semantic(0.21)+complementary+same_lang+similar_pop+shared_platform (57%)
code-container — semantic(0.20)+complementary+same_lang+similar_pop+shared_platform (57%)

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Frequently Asked Questions

What is failproofai?

failproofai is Runtime failure resolution for coding agents. Hooks into Claude Code, Codex & your favourite harnesses. Catches loops, dangerous actions, and secret leaks before they become incidents. Zero latency. R. It is categorized as a Codex Skill with 130 GitHub stars.

What programming language is failproofai written in?

failproofai is primarily written in TypeScript. It covers topics such as agent-failure, agent-reliability, ai.

How do I install or use failproofai?

You can find installation instructions and usage details in the failproofai GitHub repository at github.com/FailproofAI/failproofai. The project has 130 stars and 22 forks, indicating an active community.

View on GitHub → Browse Codex Skill tools