# NeuroSploit v3.3.0

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NeuroSploit v3.3.0 · MD-Agent Engine
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# Run engagement

Autonomous, validated, false-positive-filtered.
Targets (one URL per line — multi-target)
Backend (runtime)
Provider
Model
OOB collaborator (optional)
Verbosity
Reinforcement learning Playwright MCP + screenshots

# Agent library

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# Add a new .md agent

Dropped into `agents_md/vulns/` and orchestrated by the main agent on the next run.
Name (slug)
Title
Tests for
Severity
CWE
Methodology (markdown bullets)
System prompt (anti-false-positive rule)

# Insights

Agent outputs & reinforcement-learning weights.

# Findings by severity (last run)

Run an engagement to populate.

# RL agent weights

Higher = historically more productive. Updated after every run.
No RL history yet.

# Reports

PDF + HTML, generated via Typst.
No reports yet — run an engagement.

# Settings · API

Execution mode, provider keys, orchestrator.
Execution mode
Main orchestrator agent
Default verbosity

# Provider API keys

Stored in memory for this session (only key presence is persisted to disk). Enables “via API” model use.