By rainmana
Security-focused persistent memory for AI assistants: a SQLite-backed MCP server plus skills that teach Claude how to capture findings, build a knowledge graph of an engagement, and recall it across sessions. For authorized security work — code review, CTFs, threat modeling, and intelligence analysis.
Run a security-focused code review while recording findings in TinyBrain so they form a navigable, deduplicated, standards-mapped knowledge base instead of a one-off report. Use this skill when the TinyBrain MCP tools are available AND you are reviewing code for security issues, doing a secure code audit, triaging a vulnerability in a codebase, or the user asks you to "review this for security", "audit this code", "find vulnerabilities in", or map findings to CWE/CVE/OWASP. Builds on the using-tinybrain skill.
Work a CTF challenge or other authorized security-learning exercise while tracking reconnaissance, hypotheses, payloads, and the path to the flag in TinyBrain — so you never lose a working payload, repeat a dead end, or forget what you already enumerated. Use this skill when the TinyBrain MCP tools are available AND you are solving a CTF, working a practice/retired box (HTB, picoCTF, a crackme, a deliberately-vulnerable app like Juice Shop or DVWA), or the user says "let's do this CTF", "solve this challenge", "capture the flag", or "work this box". Builds on the using-tinybrain skill.
Collect, structure, and correlate threat intelligence in TinyBrain — indicators, threat actors, campaigns, and TTPs — mapped to MITRE ATT&CK so the picture builds across sources and sessions instead of living in scattered notes. Use this skill when the TinyBrain MCP tools are available AND you are doing intelligence analysis, threat modeling, OSINT collection, IOC tracking, actor/campaign profiling, or the user mentions threat intel, MITRE ATT&CK mapping, IOCs, "track this threat actor", or "model the threats against". Builds on the using-tinybrain skill.
Use TinyBrain (the security-focused memory MCP server) to capture findings, build a knowledge graph of an engagement, and recall it across sessions. Invoke this skill whenever the TinyBrain MCP tools are available AND you are doing multi-step security work — code review, vulnerability analysis, CTFs, threat modeling, intelligence analysis, malware/binary analysis, or any task where findings accumulate and you'll want them later. Also use it whenever the user mentions TinyBrain, "store this finding", "remember this for the assessment", "what did we find", or asks you to track an investigation. Reach for it proactively — the whole point of TinyBrain is that you record as you go rather than scrambling to reconstruct context at the end.
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Security-Focused LLM Memory Storage with Intelligence Gathering, Reverse Engineering, and MITRE ATT&CK Integration
TinyBrain is a comprehensive memory storage system designed specifically for security professionals, penetration testers, and AI assistants working on offensive security tasks. It provides intelligent memory management, pattern recognition, and comprehensive intelligence gathering capabilities through the Model Context Protocol (MCP).
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