How to use
- Copy the installation command and review the source package before installing it in your own agent environment.
- Check the source document for required tools, credentials and supported hosts.
- Describe your input and desired deliverable; review the output against the source material.
npx skills add https://github.com/yogsoth-ai/de-anthropocentric-research-engine --skill map-threat-surfaceBefore you start
- Installation does not include a model subscription, API allowance or permission to access your files.
- Repository stars and installation counts describe activity, not an independent quality or security test.
Original skill document
Rendered from the source repository. Headings, examples, code, tables, links, and referenced images are preserved.
map-threat-surface
Purpose
Enumerate attackable dimensions of an artifact and rate exposure and accessibility.
Input contract
yaml
required: [artifact, threat_model, access_context]
optional: [asset_inventory, severity_scale]
constraints: [surface dimensions, access assumptions, and rating anchors must be explicit]Procedure
- Inventory components, interfaces, assumptions, and exposed data.
- Enumerate attackable dimensions and access paths.
- Rate exposure/accessibility and record untested surfaces.
Output contract
yaml
produces: [threat_surface, access_map, exposure_ratings, untested_surfaces]
delta_fields: [findings, evidence_updates, uncertainties, decisions, open_questions]Quality gates
- Each surface has an artifact location, access assumption, exposure rating, and rationale.
Failure and counterexamples
Do not infer low exposure from absence of an observed attack; mark untested instead.
Provenance map
- resolved: threat-surface-mapping
