Recon AI Enrichment
Wiring an LLM into a recon tool's decisions ("let AI pick {feature} for {tool}"): the...
Install
npx skills add samugit83/redamon --skill recon-ai-enrichment -g -a claude-code -y- Repository
- samugit83/redamon3.3k
- Category
- Design
- Updated
- 3d ago
- License
- MIT
- Context cost
- Mediumabout 1,983 tokens
- Runs scripts
- No, instructions only
What it does
Wiring an LLM into a recon tool's decisions ("let AI pick {feature} for {tool}"): the never-raise contract, the per-target cache, the full+partial coverage, and the two UI toggles bound to one field. A raising AI helper or an empty fallback silently breaks or disables a live scan. Trigger: adding or editing a recon AI hook; a new recon/helpers/ai_planner/{tool}_{feature}.py; a /llm/{tool}-{feature} endpoint in agentic/api.py; a data.{tool}Ai{feature} toggle; editing apply_ai_pipeline_overrides in recon/project_settings.py; an LLM | Jev engine switch (a {tool}AiUseJev field, a /jev/* endpoint, agent_jev_gate); a Jev-only hook ({tool}Jev{Feature}, jev_shadow.py, shadow mode).
When to Use
- Adding AI decision-making to an existing recon tool (tag selection, extension guessing, WAF classification, etc.).
For adding a whole new recon tool, use recon-tool-integration. For the setting
that toggles it, use project-settings-cascade.
