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rate-limiting-abuse-protection

Use when working on rate limiting, abuse prevention, anti-scraping, quota, and API protection design. Focus on fairness, tenant isolation, bypass resistance, and operational controls.

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Repositório
Mr-Q526/TeamCC-Platform
Última atividade na origem
15 de abril de 2026 às 03:16
Idioma detectado do SKILL.md
inglês
Estrelas
8
Forks
1

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SKILL.md
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schemaVersion
2026-04-11T00:00:00.000Z
skillId
security/rate-limiting-abuse-protection
name
rate-limiting-abuse-protection
displayName
Rate Limiting Abuse Protection
description
Use when working on rate limiting, abuse prevention, anti-scraping, quota, and API protection design. Focus on fairness, tenant isolation, bypass resistance, and operational controls.
aliases
["rate-limiting-abuse-protection","Rate Limiting Abuse Protection","ratelimitingabuseprotection","限流","速率限制","rate limit","rate limiting","配额","rate","limiting","abuse","protection","限流防滥用","访问频率限制","abuse protection","配额保护"]
version
0.1.0
sourceHash
sha256:c0011ce5d4bfbc698d61e4eaeee5ff06c14d6aba636aa55d31e7746a55c84629
domain
security
departmentTags
["security-platform"]
sceneTags
["architecture","security-audit"]
# Rate Limiting Abuse Protection Use this skill when the task involves rate limiting, abuse prevention, anti-scraping, quota, and API protection design. Goal: produce reliable engineering guidance and implementation steps focused on fairness, tenant isolation, bypass resistance, and operational controls. ## Working model 1. Identify the affected system, data, users, and failure modes. 2. Define invariants, inputs, outputs, ownership, and rollback needs. 3. Prefer small, auditable changes with explicit validation. 4. Call out security, performance, concurrency, and data-loss risks when relevant. 5. Finish with concrete verification steps and residual risks. ## Rules - Ground recommendations in the current codebase or runtime evidence. - Prefer explicit contracts, typed boundaries, and defensive validation. - Do not hide operational concerns behind generic best practices. - Include negative cases, edge cases, and failure behavior. - For review tasks, list findings first with file and line references when possible. - For test or performance tasks, define the workload, success criteria, and measurement method. ## Checklist - Are assumptions and ownership boundaries explicit? - Are risky changes reversible or safely deployable? - Are observability and diagnostics sufficient for production issues? - Are tests or validation steps targeted to the actual risk? - Are security and data-integrity concerns addressed?
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