shpbl-counterfactual-exposure-planner
Related Servers
Alternatives to shpbl-counterfactual-exposure-planner
No user-submitted related servers found.
Related Servers
- AlicenseAqualityCmaintenanceEnables agents and security automation to adjudicate proposed defense mutations against a sealed, canonicalized attack scenario, enforcing reproduction, impact-screening, regression, and proven-improvement gates before promoting at most one candidate. Every verdict, rejected candidate, and rejection reason is sealed into a recomputable SHA-256 Merkle evidence root and hash-linked lineage that can be independently verified without trusting the server.6MIT
- AlicenseBqualityCmaintenanceEnables generating capacity-safe, risk-weighted scan schedules, identifying coverage blind spots, and comparing sealed scan plans.3MIT
- AlicenseNot gradedqualityDmaintenanceEnables automated penetration testing workflow planning using Beam Search and Monte Carlo Tree Search algorithms to generate step-by-step attack paths, score vulnerabilities, and recommend tools for reconnaissance, exploitation, and privilege escalation tasks.38MIT
- FlicenseBqualityDmaintenanceEnables cybersecurity training, purple-team collaboration, and executive readiness through tools for scenario generation, attack simulation, telemetry analysis, incident investigation, forensics, and reporting with an immutable audit trail.12-
- AlicenseAqualityAmaintenanceProvides a transparent, deterministic multi-criteria decision analysis engine that ranks options against weighted criteria with exact, explainable results.623 npmMIT
- AlicenseAqualityCmaintenanceEnables security remediation as one auditable transaction: freezing pre-change exposure, computing blast radius, gating on policy and approval, binding execution receipts, verifying post-state, and rolling back on failure, all sealed in a SHA-256 evidence chain.6MIT
TDQS
Scored across 3 tools
Each tool has a clearly distinct role: baseline measurement, single-scenario simulation, and multi-scenario ranking. There is no real overlap or ambiguity between these three operations.
All tools share the exposure_ prefix and snake_case, which makes them predictable. The minor deviation is that exposure_baseline uses a noun while exposure_simulate and exposure_rank use verbs, slightly breaking a pure verb_noun pattern.
Three tools is on the lower end but appropriate for a tightly scoped counterfactual exposure planner. Each tool covers a distinct stage in the workflow and none feels redundant.
The core planning workflow of baseline, simulate, and rank is well covered. The main gap is the lack of tools for defining/persisting scenarios or applying a chosen intervention, but this is not a fatal omission for a planner.