iterative-retrieval
iterative-retrieval is a Session review & learning skill for AI agents, published by xu-xiang in the everything-claude-code-zh repository on GitHub. Skillspace rates iterative-retrieval D (61/100) and it passed the safety scan; the rating is based on static analysis only.
逐步优化上下文检索以解决子智能体（subagent）上下文问题的模式。
- Grade
- D
- Quality
- 61 / 100
- Safety
- Passed
- GitHub stars
- 1,943
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
- 94 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- Low-risk patterns
- License
- Not declared. Check the repository before reusing it.
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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