usage-limit-reducer
usage-limit-reducer is a Context window & token budget skill for AI agents, published by Dubibubii in the usage-limit-reducer repository on GitHub. Skillspace rates usage-limit-reducer C (77/100) and it passed the safety scan; the rating is based on static analysis only.
Use when the user is hitting Claude usage limits, burning through tokens fast, running a long conversation, or asks how to use Claude Code more efficiently. Triggers on phrases like "hit my limit", "running out of tokens", "usage limit", "save tokens", "reduce usage", "am I wasting tokens", "this chat is getting long", "which model should I use". Diagnoses the current session, runs a real token-usage report from local JSONL logs, and applies Dubi's 11 rules for reducing Claude usage.
- Grade
- C
- Quality
- 77 / 100
- Safety
- Passed
- GitHub stars
- 185
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
- Low-risk patterns
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 2 other repositories, in 0 collections
- Scope
- Vendor-specific: built around one product. Specific to reducing Claude Code usage and model choice
What the scanner flagged
- mentions secrets in text
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.