research-survey-loop
research-survey-loop is a Literature review & citations skill for AI agents, published by Immortalqx in the my_codex_skills repository on GitHub. Skillspace rates research-survey-loop B (81/100) and it passed the safety scan; the rating is based on static analysis only.
Long-running survey workflow for robotics, embodied AI, computer vision, world models, navigation, manipulation, 3D scene understanding, and adjacent research. Use when Codex needs to create or continue a multi-round literature review task, maintain stable task documents (`task.md`, `round_log.md`, `current_task.md`, `survey.md`), search Nature/Science plus top CV and robotics venues before arXiv, migrate relevant local PDFs from `papers/` into task-local `sources/`, read PDFs in chunks of at most 10 pages, and incrementally write a Chinese Markdown survey with relative local citations or web links.
- Grade
- B
- Quality
- 81 / 100
- Safety
- Passed
- GitHub stars
- 45
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
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
- MIT
- 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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