Install
$ agentstack add skill-zhaoxuya520-reverse-skill-competition-pcap-protocol ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ● Network access Used
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
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.
Read This Reference
- Load
references/pcap-protocol.mdfor the session checklist, decode checklist, and evidence packaging. - If the hard part is a WebSocket or SSE handshake, subscription flow, realtime frames, or frame-driven state, prefer
$competition-websocket-runtime. - If the hard part is a custom handshake, framing, checksum, sequence dependency, or deterministic replay harness, prefer
$competition-custom-protocol-replay.
What To Preserve
- Stream IDs, endpoint pairs, packet ranges, timestamps, protocol framing, and object boundaries
- Decoded requests, responses, commands, transferred files, and the session that carried them
- The exact packet sequence or reconstructed stream that proves the challenge behavior
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: zhaoxuya520
- Source: zhaoxuya520/reverse-skill
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.