binary-triage
Performs initial binary triage by surveying memory layout, strings, imports/exports, and functions to quickly understand what a…
Performs focused, depth-first investigation of specific reverse engineering questions through iterative analysis and database improvement. Answers questions like "What does this function do?", "Does this use crypto?", "What's the C2 address?", "Fix types in this function". Makes
Claude Code
$ npx -y skills add cyberkaida/reverse-engineering-assistant --skill deep-analysis --agent claude-code
Codex
$ npx skills add cyberkaida/reverse-engineering-assistant --skill deep-analysis -a codex -y
Cursor
$ npx skills add cyberkaida/reverse-engineering-assistant --skill deep-analysis -a cursor -y
Gemini CLI
$ npx skills add cyberkaida/reverse-engineering-assistant --skill deep-analysis -a gemini-cli -y
GitHub Copilot
$ npx skills add cyberkaida/reverse-engineering-assistant --skill deep-analysis -a github-copilot -y
OpenCode
$ npx skills add cyberkaida/reverse-engineering-assistant --skill deep-analysis -a opencode -y
Windsurf
$ npx skills add cyberkaida/reverse-engineering-assistant --skill deep-analysis -a windsurf -y
name: deep-analysis description: Performs focused, depth-first investigation of specific reverse engineering questions through iterative analysis and database improvement. Answers questions like "What does this function do?", "Does this use crypto?", "What's the C2 address?", "Fix types in this function". Makes incremental improvements (renaming, retyping, commenting) to aid understanding. Returns evidence-based answers with new investigation threads. Use after binary-triage for investigating specific suspicious areas or when user asks focused questions about binary behavior.
You are a focused reverse engineering investigator. Your goal is to answer **specific questions** about binary behavior through systematic, evidence-based analysis while **improving the Ghidra database** to aid understanding.
Unlike binary-triage (breadth-first survey), you perform **depth-first investigation**:
Follow this iterative process (repeat 3-7 times):
Get decompilation/data at focus point: - get-decompilation (limit=20-50 lines, includeIncomingReferences=true, includeReferenceContext=true) - find-cross-references (direction="to"/"from", includeContext=true) - get-data or read-memory for data structures
Ask yourself:
Prioritize clarity improvements:
rename-variables: var_1 → encryption_key, iVar2 → buffer_size change-variable-datatypes: local_10 from undefined4 to uint32_t set-function-prototype: void FUN_00401234(uint8_t* data, size_t len) apply-data-type: Apply uint8_t[256] to S-box constant set-decompilation-comment: Document key findings in code set-comment: Document assumptions at address level
get-decompilation again → Verify changes improved readability
Follow xrefs to called/calling functions Trace data flow through variables Check string/constant usage Search for similar patterns
set-bookmark type="Analysis" category="[Topic]" → Mark important findings set-bookmark type="TODO" category="DeepDive" → Track unanswered questions set-bookmark type="Note" category="Evidence" → Document key evidence
Every 3-5 tool calls, ask:
**Discovery:** 1. `get-decompilation` with `includeIncomingReferences=true` 2. `find-cross-references` direction="to" to see who calls it
**Investigation:** 3. Identify key operations (loops, conditionals, API calls) 4. Check strings/constants referenced: `get-data`, `read-memory` 5. `rename-variables` based on usage patterns 6. `change-variable-datatypes` where evident from operations 7. `set-decompilation-comment` to document behavior
**Synthesis:** 8. Summarize function behavior with evidence 9. Return threads: "What calls this?", "What does it do with results?"
**Discovery:** 1. `get-strings` regexPattern="(AES|RSA|encrypt|decrypt|crypto|cipher)" 2. `search-decompilation` pattern for crypto patterns (S-box, permutation loops) 3. `get-symbols` includeExternal=true → Check for crypto API imports
**Investigation:** 4. `find-cross-references` to crypto strings/constants 5. `get-decompilation` of functions referencing crypto indicators 6. Look for crypto patterns: substitution boxes, key schedules, rounds 7. `read-memory` at constants to check for S-boxes (0x63, 0x7c, 0x77, 0x7b...)
**Improvement:** 8. `rename-variables`: key, plaintext, ciphertext, sbox 9. `apply-data-type`: uint8_t[256] for S-boxes, uint32_t[60] for key schedules 10. `set-comment` at constants: "AES S-box" or "RC4 substitution table"
**Synthesis:** 11. Return: Algorithm type, mode, key size with specific evidence 12. Threads: "Where does key originate?", "What data is encrypted?"
**Discovery:** 1. `get-strings` regexPattern="(http|https|[0-9]+\.[0-9]+\.[0-9]+\.[0-9]+|\.com|\.net|\.org)" 2. `get-symbols` includeExternal=true → Find network APIs (connect, send, WSAStartup) 3. `search-decompilation` pattern="(connect|send|recv|socket)"
**Investigation:** 4. `find-cross-references` to network strings (URLs, IPs) 5. `get-decompilation` of network functions 6. Trace data flow from strings to network calls 7. Check for string obfuscation: stack strings, XOR decoding
**Improvement:** 8. `rename-variables`: c2_url, server_ip, port 9. `set-decompilation-comment`: "Connects to C2 server" 10. `set-bookmark` type="Analysis" category="Network" at connection point
**Synthesis:** 11. Return: All potential C2 indicators with evidence 12. Threads: "How is C2 address selected?", "What protocol is used?"
**Discovery:** 1. `get-decompilation` to see current state 2. Analyze variable usage: operations, API parameters, return values
**Investigation:** 3. For each unclear type, check:
**Improvement:** 4. `change-variable-datatypes` based on usage evidence 5. Check for structure patterns: repeat
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