defending-applications

defending-applications is an Application security skill for AI agents, published by telagod in the code-abyss repository on GitHub. Skillspace rates defending-applications D (68/100) and it passed the safety scan; the rating is based on static analysis only.

Application security defense knowledge for builders, not pentesters. Covers Web/API/GraphQL hardening (XSS/SQLi/SSRF/IDOR/BOLA/Mass Assignment/deserialization/upload/path traversal), authentication/authorization (OAuth 2.0/OIDC/JWT/Session/Cookie/SAML/SSO), and LLM application security (prompt injection, jailbreak, RAG poisoning, agent privilege escalation, output filtering). Use when designing or reviewing application-layer defenses, fixing CVE-class bugs in your own code, hardening auth flows, or threat-modeling LLM-powered features. Do NOT use for offensive testing (see securing-systems/pentest), incident response (see securing-systems/blue-team), or infra-layer hardening (see provisioning-infrastructure).

Grade
D
Quality
68 / 100
Safety
Passed
GitHub stars
231

Unproven: rated by static analysis only, not yet compared head-to-head.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

View source on GitHubtelagod/code-abyss

Our review

Architecture
96 / 100
Maturity
Structured: ships references or scripts
Security scan
Low-risk patterns
License
MIT
Adoption
Adopted by 0 other repositories, in 0 collections

What the scanner flagged

  • mentions secrets in text

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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