abstract-structure
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
@yogsoth-aiInstall SkillAutomation
Skill
/map-threat-surface
Enumerate attackable dimensions of an artifact and rate exposure/accessibility.
Claude Code
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill map-threat-surface --agent claude-code
Codex
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill map-threat-surface -a codex -y
Cursor
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill map-threat-surface -a cursor -y
Gemini CLI
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill map-threat-surface -a gemini-cli -y
GitHub Copilot
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill map-threat-surface -a github-copilot -y
OpenCode
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill map-threat-surface -a opencode -y
Windsurf
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill map-threat-surface -a windsurf -y
SKILL.md
map-threat-surface.SKILL.mdname: map-threat-surface description: "Enumerate attackable dimensions of an artifact and rate exposure/accessibility."
map-threat-surface
Purpose
Enumerate attackable dimensions of an artifact and rate exposure and accessibility.
Input contract
required: [artifact, threat_model, access_context] optional: [asset_inventory, severity_scale] constraints: [surface dimensions, access assumptions, and rating anchors must be explicit]
Procedure
1. Inventory components, interfaces, assumptions, and exposed data. 2. Enumerate attackable dimensions and access paths. 3. Rate exposure/accessibility and record untested surfaces.
Output contract
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
Ships withde-anthropocentric-research-engine
A research skill graph for AI-native science. 271 markdown files. No runtime, no dependencies, no build step.
512200 skills
Stars on GitHub
Momentum
- stars in total
- 512
Other skills on de-anthropocentric-research-engine.
@yogsoth-aiInstall Skilladjudicate-exchange
Evaluate competing arguments against stated criteria and produce a reasoned verdict with uncertainty.
@yogsoth-aiInstall Skilladjust-abstraction-sco…
Move a scientific object up/down in abstraction or narrow/broaden selected scope dimensions (population, mechanism, context,…
@yogsoth-aiInstall Skilladversarial-deliberati…
Run structured attack/defense/adjudication over a claim, candidate, criterion set, or current winner. Perspective, target,…
@yogsoth-aiInstall Skillaggregate-ranking
Aggregate criterion or comparison results into an ordered recommendation under an explicit rule.
@yogsoth-aiInstall Skillanalogical-discovery
Abstract relational structure from source domains, map it to the target, validate depth, and instantiate transferable mechanisms.
@yogsoth-aiInstall SkillMore skills from other plugins.
browser-use
Direct browser control via CDP for web interaction: automation, scraping, testing, screenshots, and site/app work. Also covers…
@browser-useInstall Skillagent-browser
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling…
@vercel-labs-2Install Skill
Questions about map-threat-surface.
- Which coding agents can use map-threat-surface?
- map-threat-surface installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.