claude-md-progressive-disclosurer
claude-md-progressive-disclosurer is a System prompts & personas skill for AI agents, published by daymade in the claude-code-skills repository on GitHub. Skillspace rates claude-md-progressive-disclosurer F (51/100) and it passed the safety scan; the rating is based on static analysis only.
Optimize, slim, or restructure CLAUDE.md/AGENTS.md with progressive disclosure and zero information loss. Use when the user explicitly asks to audit, 精简, 瘦身, 重构, split, or diagnose adherence problems in instruction files. Profiles the whole resident startup surface, allocates rules among prose, path rules, Skills, hooks, and references, then moves low-frequency sections verbatim with content-integrity checks. Also use when an active task starts moving or compressing instruction sections. Not for generic task drift unless instruction files are in scope.
- Grade
- F
- Quality
- 51 / 100
- Safety
- Passed
- GitHub stars
- 1,389
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
- 65 / 100
- Maturity
- Structured: ships references or scripts
- 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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