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.
npx skills add automateyournetwork/netclaw --skill packet-analysisgit clone --depth 1 https://github.com/automateyournetwork/netclawWrote 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.
[](https://agentmods.dev/skills/automateyournetwork/netclaw/packet-analysis)<a href="https://agentmods.dev/skills/automateyournetwork/netclaw/packet-analysis"><img src="https://agentmods.dev/badge/skills/automateyournetwork/netclaw/packet-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.
<a href="https://agentmods.dev/skills/automateyournetwork/netclaw/packet-analysis"><img src="https://agentmods.dev/badge/skills/automateyournetwork/netclaw/packet-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00046 | $0.00882 |
| Opus 5 | $0.00023 | $0.00441 |
| Sonnet 5 | $0.00009 | $0.00176 |
| Haiku 4.5 | $0.00005 | $0.00088 |
Grade A, and why
packet-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 9d ago.
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.
How it starts
The opening of the file, as written. The whole thing — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Packet Analysis Skill
MCP Server
- Script:
$PACKET_BUDDY_MCP_SCRIPT - Invocation:
python3 $MCP_CALL "python3 -u $PACKET_BUDDY_MCP_SCRIPT" <tool_name> '<json_args>'
Available Tools
Discovery
- list_pcaps — List all pcap files available for analysis
- pcap_summary — High-level stats: packet count, duration, capture size
Traffic Analysis
- pcap_protocol_hierarchy — Protocol breakdown (what % is TCP, UDP, DNS, etc.)
- pcap_conversations — Who talked to whom (IP, TCP, UDP, or Ethernet layer)
- pcap_endpoints — Top talkers by traffic volume
Filtering & Inspection
- pcap_filter — Apply Wireshark display filters (e.g.
tcp.port==80,icmp,bgp) - pcap_packet_detail — Full decode of a specific packet by number
- pcap_to_json — Export packets as JSON for detailed analysis
- pcap_expert_info — Warnings, errors, retransmissions, anomalies
Protocol-Specific
- pcap_dns_queries — Extract all DNS queries and responses
- pcap_http_requests — Extract HTTP methods, URIs, and hosts
File Management
- save_pcap_from_base64 — Save a base64-encoded pcap (e.g. from Slack file upload)
Workflow: Slack pcap Upload
When a user uploads a .pcap or .pcapng file in Slack:
- The file arrives as a Slack file attachment
- Download the file content and save it using save_pcap_from_base64
- Run pcap_summary to give an overview
- Ask the user what they want to investigate
- Use appropriate tools to drill down
Workflow: Troubleshooting
When investigating a network issue with a pcap:
- Start with pcap_summary for the big picture
- Check pcap_protocol_hierarchy — any unexpected protocols?
- Look at pcap_conversations — who's talking to whom?
- Use pcap_expert_info for retransmissions, resets, errors
- Apply pcap_filter to focus on specific traffic
- Use pcap_packet_detail for deep inspection of suspect packets
Common Display Filters
| Filter | Purpose |
|---|---|
tcp.analysis.retransmission |
TCP retransmissions |
tcp.flags.reset==1 |
TCP RST packets |
dns |
All DNS traffic |
icmp |
Ping and ICMP errors |
bgp |
BGP routing protocol |
ospf |
OSPF routing protocol |
tcp.port==22 |
SSH traffic |
http |
HTTP requests/responses |
tls.handshake |
TLS handshakes |
arp |
ARP requests/replies |
stp |
Spanning Tree Protocol |
ip.addr==10.0.0.1 |
Traffic to/from specific host |
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.
- 9d ago First seen · 84 lines · 46 tokens per session scan A 21b0015272a8
packet-analysis is a skill published in the GitHub repository automateyournetwork/netclaw (657 stars, last pushed 6d ago), licensed Apache-2.0. It adds 46 tokens to every session and 882 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 2026-09-03.
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