protocol-reverse-engineering▌
wshobson/agents · updated Apr 8, 2026
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Capture, analyze, and document network protocols through packet inspection and binary dissection.
- ›Covers traffic capture with Wireshark, tcpdump, and mitmproxy, including transparent interception and ring-buffer rotation for continuous monitoring
- ›Provides protocol analysis techniques: display filtering, stream following, field extraction, and TLS decryption with pre-master-secret logs
- ›Includes binary protocol parsing patterns (length-prefixed, TLV, fixed-header) with Python struct un
Protocol Reverse Engineering
Comprehensive techniques for capturing, analyzing, and documenting network protocols for security research, interoperability, and debugging.
Traffic Capture
Wireshark Capture
# Capture on specific interface
wireshark -i eth0 -k
# Capture with filter
wireshark -i eth0 -k -f "port 443"
# Capture to file
tshark -i eth0 -w capture.pcap
# Ring buffer capture (rotate files)
tshark -i eth0 -b filesize:100000 -b files:10 -w capture.pcap
tcpdump Capture
# Basic capture
tcpdump -i eth0 -w capture.pcap
# With filter
tcpdump -i eth0 port 8080 -w capture.pcap
# Capture specific bytes
tcpdump -i eth0 -s 0 -w capture.pcap # Full packet
# Real-time display
tcpdump -i eth0 -X port 80
Man-in-the-Middle Capture
# mitmproxy for HTTP/HTTPS
mitmproxy --mode transparent -p 8080
# SSL/TLS interception
mitmproxy --mode transparent --ssl-insecure
# Dump to file
mitmdump -w traffic.mitm
# Burp Suite
# Configure browser proxy to 127.0.0.1:8080
Protocol Analysis
Wireshark Analysis
# Display filters
tcp.port == 8080
http.request.method == "POST"
ip.addr == 192.168.1.1
tcp.flags.syn == 1 && tcp.flags.ack == 0
frame contains "password"
# Following streams
Right-click > Follow > TCP Stream
Right-click > Follow > HTTP Stream
# Export objects
File > Export Objects > HTTP
# Decryption
Edit > Preferences > Protocols > TLS
- (Pre)-Master-Secret log filename
- RSA keys list
tshark Analysis
# Extract specific fields
tshark -r capture.pcap -T fields -e ip.src -e ip.dst -e tcp.port
# Statistics
tshark -r capture.pcap -q -z conv,tcp
tshark -r capture.pcap -q -z endpoints,ip
# Filter and extract
tshark -r capture.pcap -Y "http" -T json > http_traffic.json
# Protocol hierarchy
tshark -r capture.pcap -q -z io,phs
Scapy for Custom Analysis
from scapy.all import *
# Read pcap
packets = rdpcap("capture.pcap")
# Analyze packets
for pkt in packets:
if pkt.haslayer(TCP):
print(f"Src: {pkt[IP].src}:{pkt[TCP].sport}")
print(f"Dst: {pkt[IP].dst}:{pkt[TCP].dport}")
if pkt.haslayer(Raw):
print(f"Data: {pkt[Raw].load[:50]}")
# Filter packets
http_packets = [p for p in packets if p.haslayer(TCP)
and (p[TCP].sport == 80 or p[TCP].dport == 80)]
# Create custom packets
pkt = IP(dst="target")/TCP(dport=80)/Raw(load="GET / HTTP/1.1\r\n")
send(pkt)
Protocol Identification
Common Protocol Signatures
HTTP - "HTTP/1." or "GET " or "POST " at start
TLS/SSL - 0x16 0x03 (record layer)
DNS - UDP port 53, specific header format
SMB - 0xFF 0x53 0x4D 0x42 ("SMB" signature)
SSH - "SSH-2.0" banner
FTP - "220 " response, "USER " command
SMTP - "220 " banner, "EHLO" command
MySQL - 0x00 length prefix, protocol version
PostgreSQL - 0x00 0x00 0x00 startup length
Redis - "*" RESP array prefix
MongoDB - BSON documents with specific header
Protocol Header Patterns
+--------+--------+--------+--------+
| Magic number / Signature |
+--------+--------+--------+--------+
| Version | Flags |
+--------+--------+--------+--------+
| Length | Message Type |
+--------+--------+--------+--------+
| Sequence Number / Session ID |
+--------+--------+--------+--------+
| Payload... |
+--------+--------+--------+--------+
Binary Protocol Analysis
Structure Identification
# Common patterns in binary protocols
# Length-prefixed message
struct Message {
uint32_t length; # Total message length
uint16_t msg_type; # Message type identifier
uint8_t flags; # Flags/options
uint8_t reserved; # Padding/alignment
uint8_t payload[]; # Variable-length payload
};
# Type-Length-Value (TLV)
struct TLV {
uint8_t type; # Field type
uint16_t length; # Field length
uint8_t value[]; # Field data
};
# Fixed header + variable payload
struct Packet {
uint8_t magic[4]; # "ABCD" signature
uint32_t version;
uint32_t payload_len;
uint32_t checksum; # CRC32 or similar
uint8_t payload[];
};
Python Protocol Parser
import struct
from dataclasses import dataclass
@dataclass
class MessageHeader:
magic: bytes
version: int
msg_type: int
length: int
@classmethod
def from_bytes(cls, data: bytes):
magic, version, msg_type, length = struct.unpack(
">4sHHI", data[:12]
)
return cls(magic, version, msg_type, length)
def parse_messages(data: bytes):
offset = 0
messages = []
while offset < len(data):
header = MessageHeader.from_bytes(data[offset:])
payload = data[offset+12:offset+12+header.length]
messages.append((header, payload))
offset += 12 + header.length
return messages
# Parse TLV structure
def parse_tlv(data: bytes):
fields = []
offset = 0
while offset < len(<How to use protocol-reverse-engineering on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add protocol-reverse-engineering
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches protocol-reverse-engineering from GitHub repository wshobson/agents and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate protocol-reverse-engineering. Access the skill through slash commands (e.g., /protocol-reverse-engineering) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
User Story & Requirements Generation
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Competitive Analysis
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Stakeholder Communication
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices▌
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This▌
✓ Use When
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid When
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
Learning Path▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.5★★★★★56 reviews- ★★★★★Ganesh Mohane· Dec 24, 2024
Keeps context tight: protocol-reverse-engineering is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Olivia Abebe· Dec 20, 2024
We added protocol-reverse-engineering from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Li Desai· Dec 16, 2024
protocol-reverse-engineering fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Harper Ghosh· Dec 4, 2024
Solid pick for teams standardizing on skills: protocol-reverse-engineering is focused, and the summary matches what you get after install.
- ★★★★★Harper Rao· Nov 27, 2024
protocol-reverse-engineering is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Sofia Thompson· Nov 23, 2024
We added protocol-reverse-engineering from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Noah Kapoor· Nov 11, 2024
Solid pick for teams standardizing on skills: protocol-reverse-engineering is focused, and the summary matches what you get after install.
- ★★★★★Mei Sanchez· Nov 7, 2024
protocol-reverse-engineering has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Kwame Choi· Nov 3, 2024
Keeps context tight: protocol-reverse-engineering is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Li Thompson· Oct 26, 2024
Solid pick for teams standardizing on skills: protocol-reverse-engineering is focused, and the summary matches what you get after install.
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