What is evo-pcap-analysis?

A tool for reading PCAP files, which are recorded network packets, and filling a CSV template with calculated network statistics. It discovers which measurements the template requests rather than using a fixed list.

Use it to analyse a packet capture, calculate the metrics requested by a statistics template, write them into the CSV, and validate that all values were filled.

It removes the need to inspect packet captures manually and calculate protocol, timing, size, flow, graph, and entropy measurements one by one.

evo-pcap-analysis — Skill for Claude Code and Codex by Zhang-Henry

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent

npx skills add Zhang-Henry/CoEvoSkills --skill evo-pcap-analysis

Clone the repo

git clone --depth 1 https://github.com/Zhang-Henry/CoEvoSkills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/zhang-henry/coevoskills/evo-pcap-analysis/github.svg)](https://agentmods.dev/skills/zhang-henry/coevoskills/evo-pcap-analysis)

Your own site

<a href="https://agentmods.dev/skills/zhang-henry/coevoskills/evo-pcap-analysis"><img src="https://agentmods.dev/badge/skills/zhang-henry/coevoskills/evo-pcap-analysis/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/zhang-henry/coevoskills/evo-pcap-analysis"><img src="https://agentmods.dev/badge/skills/zhang-henry/coevoskills/evo-pcap-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 49 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 438 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits

NVIDIA SkillSpector pass 7 Sept 2026

How audits are shown

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00049	$0.00438
Opus 5	$0.00024	$0.00219
Sonnet 5	$0.00010	$0.00088
Haiku 4.5	$0.00005	$0.00044

Measured 12d ago against content hash 26e239dfe84e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

evo-pcap-analysis scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/pcap_stats.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

artifacts/skills/dapt-intrusion-detection/evo-pcap-analysis/SKILL.md · 46 lines

What it actually says

PCAP Network Statistics Analysis

This skill analyzes PCAP files and fills a CSV template with computed network statistics. Metric names are discovered from the template at runtime - no hardcoded metric names.

Quick Start

import sys
sys.path.insert(0, '/app/environment/skills/evo-pcap-analysis/scripts')
from pcap_stats import run_end_to_end

pcap_path = '/root/packets.pcap'
template_path = '/root/network_stats.csv'
output_path = '/root/network_stats.csv'

results, ok = run_end_to_end(pcap_path, template_path, output_path)
if not ok:
    print("Validation failed!")
else:
    print("Done - all metrics filled")

Architecture

load_packets(path) - Load PCAP with Scapy (handles VLAN, tunnels)
count_protocols(packets) - Independent layer checks per protocol
compute_rate_buckets(timestamps, bucket_size) - Relative time bucketing
compute_size_stats(packets) - Full frame length stats
shannon_entropy(values) - Shannon entropy in bits
compute_graph(packets) - Directed IP graph topology
compute_iat(timestamps) - Inter-arrival time with population variance
compute_pcr(packets) - Producer/Consumer ratio per IP
compute_flows(packets) - 5-tuple flow analysis
detect_port_scan(packets) - Converging evidence detection
detect_dos(buckets) - Rate spike detection
detect_beaconing(iat_stats) - Low CV detection
resolve_metric(name, computed) - Dynamic name-to-value resolution
analyze_and_resolve(pcap, template) - Full pipeline with template discovery
validate_csv(path) - Check all template lines have values

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

scripts/pcap_stats.py 13 KB runs code

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

12d ago First seen · 46 lines · 49 tokens per session scan A 26e239dfe84e

Subscribe to this mod's changes

evo-pcap-analysis is a skill published in the GitHub repository Zhang-Henry/CoEvoSkills (66 stars, last pushed 22d ago), licensed Apache-2.0. It adds 49 tokens to every session and 438 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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