agentleFS
ErrorNotFound808ErrorNotFound808/claude-skills/skills/cyber-security/SKILL.md

cyber-security

Skill0 starsChanged 2 months agoNo licenceView on GitHub

Application-layer security playbook combining two reference bodies: (A) the 7 vulnerabilities of "vibe-coded" / LLM-generated apps (SSTI, ReDoS, Long-Password DoS, client-side AWS secret leakage, NoSQL injection, clipboard pastejacking, login replay) plus the Single-Thread Guardrail, and (B) password storage fundamentals — hashing, brute force, rainbow tables, salting, peppering, and the algorithm choice (Argon2id / bcrypt / scrypt / PBKDF2). Use whenever the user asks to review, audit, harden, or write auth/login flows, password storage, input validation, regex, template rendering, frontend env-var handling, NoSQL queries, copy-to-clipboard UI, session/cookie transport, or any code generated by an AI assistant that touches a security boundary. Use proactively on PR review of any auth, input-validation, secrets, or session code.

  • Reads credentials

1 other project uses a version of this.

Adopted by

Most recently taken up by

The file

Show its rules and text

We split this skill into the rules it gives an agent

15 rules. About 0 are common, 11 are distinctive, and 4 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈11

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 4

    Very specific

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

No licence file, so all rights are reserved — 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.