hypercode-forge
🚀 HyperCode Forge - Competitive compression engine for MCP workflows
🚀 HyperCode Forge - Competitive compression engine for MCP workflows
Kill chain analysis and attack path decision-making — findings analysis, attack vector selection, target prioritization, phase transitions.
Red team engagement lifecycle management — initiation, phase transitions, go/no-go gates, deconfliction, emergency procedures, completion.
Mandatory first-turn startup procedure — checks for existing engagements, resume/new selection, workspace initialization.
Rules of Engagement document creation — scope definition, prohibited/permitted actions, testing windows, escalation contacts, incident procedures.
Endpoint defense bypass — AMSI/ETW patching, ScareCrow framework, custom loaders, direct/indirect syscalls, LOLBAS execution, process injection.
Cloud infrastructure enumeration — AWS S3 buckets, Azure blob storage, GCP buckets, cloud metadata endpoints, IAM misconfigurations, CDN origin detection.
Finding documentation protocol — Markdown template, YAML frontmatter schema, CVSS v4.0 severity guide, confidence levels, naming conventions, post-creation checklist.
Credential extraction and capture — LSASS dumping, SAM/SECURITY hive extraction, DPAPI decryption, NTLM relay, Responder poisoning, password spraying, hash cracking.
Host privilege escalation — Windows token impersonation, UAC bypass, service abuse, DLL hijacking, Linux SUID/sudo/kernel exploits, automated enumeration.
A classic stone dungeon with interconnected rooms, corridors, treasure chests, pillars, torches, a gate, and stairs
A modular orbital space station with corridors, control room, airlock, observation deck, and cargo bay
Commit relevant changes, push to remote, and deploy the site. Use when finished with changes and ready to ship.
Loads internal CausalPy example datasets. Use when the user needs example data or asks about available demos.
Performs placebo-in-time sensitivity analysis to validate causal claims. Use when checking model robustness, verifying lack of pre-intervention effects, or ensuring observed effects are not spurious.
Check Documentation for Outdated Code References