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 agentmods add skills/asaiuta/reverse-workbench-skill/competition-pcap-protocolnpx skills add Asaiuta/reverse-workbench-skill --skill competition-pcap-protocolgit clone --depth 1 https://github.com/Asaiuta/reverse-workbench-skillWrote 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/asaiuta/reverse-workbench-skill/competition-pcap-protocol)<a href="https://agentmods.dev/skills/asaiuta/reverse-workbench-skill/competition-pcap-protocol"><img src="https://agentmods.dev/badge/skills/asaiuta/reverse-workbench-skill/competition-pcap-protocol.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00117 | $0.00689 |
| Opus 5 | $0.00059 | $0.00345 |
| Sonnet 5 | $0.00023 | $0.00138 |
| Haiku 4.5 | $0.00012 | $0.00069 |
Grade A, and why
competition-pcap-protocol 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 5d 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.
This is a copy
100% identical to competition-pcap-protocol — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 53 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Competition PCAP Protocol
Use this skill only as a downstream specialization after $ctf-sandbox-orchestrator is already active and has established sandbox assumptions, node ownership, and evidence priorities. If that has not happened yet, return to $ctf-sandbox-orchestrator first.
Use this skill when the decisive evidence sits inside packet order, protocol framing, or stream reconstruction rather than a single IOC or host log.
Reply in Simplified Chinese unless the user explicitly requests English.
Quick Start
- Establish the capture boundaries first: hosts, time span, interfaces, missing packets, retransmits, and stream count.
- Group traffic into sessions before decoding payload semantics.
- Record protocol framing, sequence, timing, and transferred artifacts together instead of as isolated packets.
- Correlate packet evidence with host, malware, or app behavior only after the session is reconstructed.
- Reproduce the smallest decoded stream or transferred artifact that proves the challenge path.
Workflow
1. Build The Session Map
- Identify endpoints, protocols, ports, TLS handshakes, DNS lookups, websocket upgrades, and long-lived streams.
- Note missing capture coverage, asymmetric routing, packet loss, or reassembly issues before drawing conclusions.
- Separate control channels, bulk transfers, keepalives, and noise.
2. Decode The Protocol Boundary
- Reassemble TCP streams or UDP conversations before interpreting fields.
- Recover framing, message order, custom headers, binary fields, compression, encryption boundaries, and object transfers.
- Keep payload direction, timing, and session state aligned with each decoded message.
3. Tie Packets To Behavior
- Show which packet sequence maps to which host event, malware branch, login flow, upload, exfiltration step, or command channel.
- Distinguish protocol recognition from artifact recovery: naming HTTP, DNS, or a custom C2 is not enough without decoded content or proven downstream effect.
- If the task becomes mostly a host timeline problem after decode, switch to the tighter forensic timeline skill.
What ships with it
2 files 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.
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.
- 5d ago First seen · 53 lines · 117 tokens per session scan A 18285bb445a8
competition-pcap-protocol is a skill published in the GitHub repository Asaiuta/reverse-workbench-skill (2 stars, last pushed 21d ago), licensed MIT. It adds 117 tokens to every session and 689 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to competition-pcap-protocol, differing in 0 lines, and is treated as a copy.
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