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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.
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name: implementing-network-traffic-baselining
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description: Build network traffic baselines from NetFlow/IPFIX data using Python
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pandas for statistical analysis, z-score anomaly detection, and hourly/daily traffic
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pattern profiling
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description: Builds network traffic baselines from NetFlow/IPFIX CSV or JSON exports using Python
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pandas, computing hourly/daily volume distributions, per-host and protocol/port
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statistics, and top-talker profiles, then flags outliers via z-score and IQR anomaly
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detection. Use when a SOC analyst needs to establish normal traffic patterns and
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surface deviations such as data exfiltration spikes, beaconing, or unusual port
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usage from historical flow data.
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domain: cybersecurity
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subdomain: network-security
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tags:
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