edge-recon
From the author
Audit existing CDN and edge configuration — find cache misses, missing headers, and performance gaps. Use when asked to "audit our CDN", "why is our cache hit rate low", or "find edge config gaps".
Install
npx skills add tonone-ai/tonone --skill edge-recon -a claude-code
Installs to .claude/skills/edge-recon/ · Each command fetches the skill straight from GitHub with the open skills CLI.
Byte-identical to the scanned commit, with the repository’s licence and a SOURCE.txt.
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Why 83
aiqbench computes the trust score from public signals. It is not a security audit, so read a skill before you install it.
Similar skills
Closest to this one by what they do and when they are used.
- cache-recontonone-ai/tononeAudit existing caching implementation — find cache misses, stampedes, and key design issues. Use when asked to "audit our caching", "why is our hit rate low", or "find cache stampedes".Design★ 76
- CDN & Cache TestingPramodDutta/qaskillsTesting CDN configurations, cache hit ratios, cache invalidation, TTL policies, and edge caching behavior for optimal content delivery.Testing★ 240
- patch-recontonone-ai/tononeAudit existing vulnerability management — find SLA gaps, missing tiers, and process failures. Use when asked to "audit our vulnerability management", "find patch SLA gaps", or "are we patching fast enough".Security★ 76
- gate-recontonone-ai/tononeAudit existing API quality controls — find missing lint rules, gaps in CI gates, and quality debt. Use when asked to "audit our API quality controls", "find missing lint rules", or "assess our API governance".Engineering★ 76
- bench-recontonone-ai/tononeAudit existing performance testing — find missing benchmarks, stale baselines, and CI gaps. Use when asked "do we have benchmarks", "audit our performance testing", or "are our baselines stale".Testing★ 76
- clean-recontonone-ai/tononeAudit existing data cleaning code — find missing validation, silent data loss, and quality gaps. Use when asked to "audit our data cleaning", "are we losing data silently", or "find data quality gaps".Engineering★ 76
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