SKILL: API Auth and JWT Abuse — Token Trust, Header Tricks, and Rate Limits

SkillSecurity

Your AI can help you find weak spots in how an API checks that callers are who they claim to be. This skill is a step-by-step playbook for testing API authentication and token abuse, so you get a structured pass over the areas attackers tend to probe instead of guessing where to look. It covers bearer tokens, API keys, the claims inside tokens, spoofed headers, rate limits, and authentication boundary weaknesses.

Available today. Use it from your connected AI after setup.

After adding the skill, tell your AI which part of an API's authentication you want to test, such as its tokens, keys, or rate limits. Your AI will follow the playbook to run the checks that apply.

Then ask your AI: use the SKILL: API Auth and JWT Abuse — Token Trust, Header Tricks, and Rate Limits skill

What your AI can do with it

  • Test bearer tokens for weaknesses
  • Check API keys for flaws
  • Spot token claims that get trusted without proper verification
  • Test defenses against spoofed headers
  • Probe rate limits for gaps
  • Find weak points in API authentication boundaries

What this skill tells your AI

The instructions your AI receives, as published by zyrexnn/cybermes in skills/api-auth-and-jwt-abuse/SKILL.md and read by ahel’s review.

AI LOAD INSTRUCTION: Use this skill when APIs rely on JWT, bearer tokens, API keys, or weak request identity signals. Focus on token trust boundaries, claim misuse, header spoofing, and rate-limit bypass.

1. TOKEN TRIAGE

Inspect:

  • alg, kid, jku, x5u
  • role, org, tenant, scope, or privilege claims
  • issuer and audience mismatches
  • reuse of mobile and web tokens across products

2. QUICK ATTACK PICKS

PatternFirst Test
alg:none acceptanceunsigned token with trailing dot
RS256 confusionswitch to HS256 using public key as secret
kid lookup trustpath traversal or injection in kid
remote key fetch trustattacker-controlled jku or x5u
weak secretoffline crack with targeted wordlists

3. HIDDEN FIELDS AND BATCH ABUSE

Mass assignment field picks

role
isAdmin
admin
verified
plan
tier
permissions
org
owner

Rate limit and batch abuse picks

X-Forwarded-For: 1.2.3.4
X-Real-IP: 5.6.7.8
Forwarded: for=9.9.9.9

GraphQL or JSON batch abuse candidates:

  • arrays of login mutations
  • bulk object fetches with varying IDs
  • repeated password reset or verification calls in one request

4. RATE LIMIT BYPASS FAMILIES

X-Forwarded-For
X-Real-IP
Forwarded
User-Agent rotation
Path case / slash variants

5. NEXT ROUTING

Signals

GitHub stars
777
Forks
137
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
api-auth-and-jwt-abuse
Source
github.com/zyrexnn/cybermes