openevidence-rate-limits
openevidence-rate-limits is an API design & implementation skill for AI agents, published by htlin222 in the openevidence-mcp repository on GitHub. Skillspace rates openevidence-rate-limits B (81/100) and it passed the safety scan; the rating is based on static analysis only.
Implement OpenEvidence rate limiting, backoff, and request optimization. Use when handling rate limit errors, implementing retry logic, or optimizing API request throughput for clinical queries. Trigger with phrases like "openevidence rate limit", "openevidence throttling", "openevidence 429", "openevidence retry", "openevidence backoff".
- Grade
- B
- Quality
- 81 / 100
- Safety
- Passed
- GitHub stars
- 57
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
- Packaged: licensed, with a version or references
- Security scan
- No issues found
- License
- Apache-2.0
- 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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