Codex-opus-4-6-prompting
Codex-opus-4-6-prompting is a Prompt design & optimisation skill for AI agents, published by Kastalien-Research in the thoughtbox repository on GitHub. Skillspace rates Codex-opus-4-6-prompting F (48/100) and it passed the safety scan; the rating is based on static analysis only.
Comprehensive prompt engineering reference for Codex Opus 4.6. Use this skill whenever you are writing, reviewing, or optimizing prompts for Codex Opus 4.6 (or Sonnet 4.6 / Haiku 4.5). Covers foundational clarity principles, output formatting control, tool use, adaptive thinking, agentic system design, multi-context-window workflows, and migration guidance from earlier models. Trigger this skill for any task involving system prompt authorship, agent harness design, multi-step pipeline construction, or prompt debugging on the Codex 4.6 model family.
- Grade
- F
- Quality
- 48 / 100
- Safety
- Passed
- GitHub stars
- 64
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
- 70 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- Low-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- mentions secrets in text
Not checked yet
- Category is a classifier prediction; no model has read this skill 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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