agentleFS
annatchijovaannatchijova/SKILLS/assume-breach-modeling/SKILL.md

assume-breach-modeling

Skill9 starsChanged 4 months agoLicence not identifiedView on GitHub

Start from "this step already succeeded" and map what the attacker reaches next — the identity held at that position, everything that identity unlocks, and the choke point whose removal cuts the most paths at once. Use whenever a finding is confirmed and the question turns to impact, whenever a design assumes a component will not be compromised, and whenever containment is being planned or claimed. Trigger on "what's the actual impact", "assume this is compromised", "blast radius", "lateral movement", "if this container/CI job/service account is popped", "worst case", "can they pivot", "defense in depth", "least privilege", "zero trust", "network segmentation", "what does this key unlock", "how would we contain it", or a risk rating that rests on one control holding. Turns red findings into blue architecture. It models reachability from an authorized position and produces containment; it never plans intrusion into systems outside the engagement.

The file

We split this skill into the rules it gives an agent

6 rules. About 0 are common, 4 are distinctive, and 2 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈4

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 2

    Very specific

    Tied to their project's names, files or tools. Probably skip.

The licence could not be identified — read it at the source. We count its rules but don't quote them. Read them on GitHub.

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.