Individual skill
application-attack-surface-modeling
Build a working model of the application as a system - roles, resources, workflows, state transitions, trust and tenant boundaries - from black-box behavior, and turn that model into prioritized hypotheses. The foundation skill that converts a recon endpoint list into application-level reasoning.
internal/tools/skills/data/application-security/application-attack-surface-modeling/SKILL.md
Source commit d42f381ad34843e71a42658e5c57290c713e85af
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Instructions only
- Last checked
- Nov 9, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 1,313
- Repository last updated
- Nov 8, 2026
- License
- Apache-2.0
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- cybersecurity Repository topic
- security Repository topic
- bug-bounty Repository topic
- automation Repository topic
- autonomous-pentesting Repository topic
- ai-agent Repository topic
- ai-security Repository topic
- ethical-hacking Repository topic
- golang Repository topic
- penetration-testing Repository topic
- application-security Declared skill tag
- attack-surface Declared skill tag
- threat-modeling Declared skill tag
- hypothesis-generation Declared skill tag
- blackbox Declared skill tag
- security Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Read excerpt
# Application Attack-Surface Modeling
## Purpose
Reconnaissance produces a list of routes and endpoints. That list is not yet an application. This skill turns observed runtime behavior into a structured model - who exists, what exists, what flows exist, what states exist, and where the boundaries are - and converts the model into testable hypotheses for the ledger. Load this skill when the endpoint inventory feels like "many URLs, little meaning", or before starting systematic application-level testing.
## Entry Conditions
- Reconnaissance has produced a concrete endpoint/page inventory (including client-side routes from discover_client_routes)
- Login flows, forms, and API surfaces are mapped at a surface level
- You need to decide WHICH application-level attacks to run and in what order
## Application Model: What to Capture
