dapt-intrusion-detection-pcap-analysisGuidance for analyzing network packet captures (PCAP files) and computing network statistics using Python, with tested utility functions.
Install via ClawdBot CLI:
clawdbot install wu-uk/dapt-intrusion-detection-pcap-analysisGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated May 13, 2026
Analyze PCAPs to detect malicious activities like port scans, DoS attacks, and beaconing using built-in detection functions. Security analysts can quickly identify threats without manual threshold tuning.
Compute packet counts, byte volumes, protocol distribution, and inter-arrival time statistics to assess network load and latency. Useful for IT teams optimizing network infrastructure.
Utilize graph metrics like indegree and outdegree to map communication patterns and identify central nodes. Helps in understanding network structure and potential bottlenecks.
Examine historical PCAPs to reconstruct events, identify data exfiltration via entropy anomalies, and trace attacker movements. Essential for incident response teams.
Offer PCAP analysis as a managed service for enterprises that lack in-house expertise, including real-time threat detection and reporting. Revenue via monthly subscription fees based on data volume.
Embed the skill into a SaaS platform that provides automated network performance and security insights. Generate revenue through tiered pricing with advanced analytics add-ons.
Leverage the skill to offer one-time forensic analysis and custom integrations for clients, such as tailoring detection thresholds or building dashboards. Billed on project basis.
💬 Integration Tip
Use the provided pcap_utils module directly to avoid reimplementing complex detection logic, and ensure that all paths in your code handle edge cases like empty captures or missing protocols.
Scored May 13, 2026
Humanize AI-generated text to bypass detection. This humanizer rewrites ChatGPT, Claude, and GPT content to sound natural and pass AI detectors like GPTZero,...
AI brainstorming and strategy thinking partner powered by CellCog. Reasoning, problem-solving, ideation, strategic planning — then execution across every modality: research, documents, visuals, data, prototypes. Think, build, review, repeat.
Generate ideas fast. Adapt depth and structure to what the user actually needs.
Evaluate any AI skill's quality through step-by-step diagnosis — measuring trigger accuracy, per-step execution (completion/correctness/quality), efficiency,...
通过调用 Prana 平台上的远程 agent 完成以下处理:基于100个热门TradingView Pine Script指标转换的Python技术分析工具集,提供专业的技术指标计算、分析和可视化功能 IMPORTANT: This skill has a mandatory step-by-step proc...
Provides a structured screening for stress perception using the PSS-10 scale as an independent skill in ClawHub.