mirror of
https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git
synced 2026-08-03 09:20:18 +03:00
Rewrite 548 skill descriptions to the activation rubric
Each rewritten description now states both what the skill does (concrete capability, named tools/artifacts) and an explicit when-to-use trigger, improving agent discovery/activation. Grounded in each skill's own body; changes confined to the `description` field only (bodies and all other frontmatter untouched). Produced by a gated audit->rewrite->recheck loop (548 -> 0 flagged) with a sampled anti-invention check (0 ungrounded). Schema: 817/817 pass. Framework-ID gate: 0 defects.
This commit is contained in:
@@ -1,10 +1,6 @@
|
||||
---
|
||||
name: analyzing-cloud-storage-access-patterns
|
||||
description: Detect abnormal access patterns in AWS S3, GCS, and Azure Blob Storage
|
||||
by analyzing CloudTrail Data Events, GCS audit logs, and Azure Storage Analytics.
|
||||
Identifies after-hours bulk downloads, access from new IP addresses, unusual API
|
||||
calls (GetObject spikes), and potential data exfiltration using statistical baselines
|
||||
and time-series anomaly detection.
|
||||
description: Detect abnormal access in AWS S3, GCS, and Azure Blob Storage by analyzing CloudTrail Data Events, GCS audit logs, and Azure Storage Analytics for after-hours bulk downloads, new-IP access, and API-call spikes (e.g. GetObject) via statistical baselines and time-series anomaly detection. Use when investigating suspected cloud data exfiltration or building related detection rules.
|
||||
domain: cybersecurity
|
||||
subdomain: cloud-security
|
||||
tags:
|
||||
|
||||
Reference in New Issue
Block a user