SkillCheatSheet
implementing-api-abuse-detection-with-rate-limiting
An AI agent skill from mukul975/Anthropic-Cybersecurity-Skills, scored 53 out of 100 by code.
Code score by group
It loses the most points in Done criteria (15), the group that checks whether there is a checklist and a step that verifies the work.
What the author says it does
Implements API abuse detection using token bucket, sliding window, and fixed window rate-limiting algorithms backed by Redis, including adaptive limits that tighten during detected attacks and relax during normal traffic. Use when defending APIs against DDoS, brute force login attempts, credential stuffing, or scraping abuse and you need to design or tune rate-limiting logic.
This is the description in the skill's own SKILL.md, written by its author, not by SkillCheatSheet.
- Repository
- mukul975/Anthropic-Cybersecurity-Skills
- Folder
- skills/implementing-api-abuse-detection-with-rate-limiting
- License
- Apache-2.0
- GitHub stars
- 35,958
- SKILL.md lines
- 400
- Other files
- 3
Add implementing-api-abuse-detection-with-rate-limiting to your agent
npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill implementing-api-abuse-detection-with-rate-limitingThe command uses the open skills CLI. A skill is instructions and scripts your agent will follow, so read it first: open the folder on GitHub at the commit that was scored.
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All skills in mukul975/Anthropic-Cybersecurity-Skills
Scores come from a snapshot of 300 public GitHub repositories taken on 12 November 2026. Every score is the result of fixed checks run by code; no AI is involved. How scoring works.