codex-agent-loop
codex-agent-loop is an Other agent platforms skill for AI agents, published by wisdom-in-a-nutshell in the agents repository on GitHub. Skillspace rates codex-agent-loop C (74/100) and it passed the safety scan; the rating is based on static analysis only.
Understand and apply how the Codex agent loop works, including request assembly (`instructions`, `tools`, `input`), thread/turn/item mental models, tool iteration, prompt growth, caching, compaction, and where `model_instructions_file` and `AGENTS.md` enter. Keep the local references for the durable conceptual model, but fetch current official docs via `openaiDeveloperDocs` for exact config, prompt-loading, and other evolving Codex behavior.
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 20
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 100 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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