agents: Skill for Claude Code

.agents/skills/sast-jwt/SKILL.md

sast-jwt is a skill for Claude Code, Codex from mtnyilmaz/agents. It costs 123 tokens per session (5,862 once invoked), scanned A, a copy of sast-jwt, MIT.

A focused check for insecure JSON Web Token (JWT) handling. JWTs are signed tokens commonly used to carry login or permission information, and the check maps how they are issued and verified before looking for exploitable weaknesses.

In plain words
What is it for?
Use it to inspect JWT issuance, verification, and signing configuration for problems such as accepting the wrong signing algorithm, skipping signature checks, or using weak secrets.
Why use it?
An application may trust token claims without fully proving that the token is authentic and unchanged. This check examines the complete token lifecycle and verification settings to find those mistakes.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents; installed under .agents/ (shared by several agents).

This is mtnyilmaz/agents's own configuration. It tells Claude Code and Codex how to work on agents itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything agents configures →

Reuse

Borrowing it

Nothing to install: this file belongs to mtnyilmaz/agents. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/mtnyilmaz/agents/main/.agents/skills/sast-jwt/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/mtnyilmaz/agents

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for sast-jwt

README.md
[![agentmods](https://agentmods.dev/badge/skills/mtnyilmaz/agents/sast-jwt.svg)](https://agentmods.dev/skills/mtnyilmaz/agents/sast-jwt)
Your own site
<a href="https://agentmods.dev/skills/mtnyilmaz/agents/sast-jwt"><img src="https://agentmods.dev/badge/skills/mtnyilmaz/agents/sast-jwt.svg" alt="Measured on agentmods" height="20"></a>
Per session 123 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,862 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00123 $0.05862
Opus 5 $0.00062 $0.02931
Sonnet 5 $0.00025 $0.01172
Haiku 4.5 $0.00012 $0.00586

Measured 8d ago against content hash be3c5b270331, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

sast-jwt scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

> [Proof-of-concept using jwt_tool, hashcat, or curl.
Origin

This is a copy

100% identical to sast-jwt — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.agents/skills/sast-jwt/SKILL.md · 488 lines

How it starts

The opening of the file, as written. The whole thing — 488 lines — stays where its author put it; the contents beside it link to each section on GitHub.

JWT Vulnerability Detection

You are performing a focused security assessment to find insecure JSON Web Token (JWT) implementations. This skill uses a two-phase approach with subagents: recon (map the full JWT lifecycle — issuance, verification, and configuration) then analysis (identify every exploitable weakness in those verification sites).

Prerequisites: sast/architecture.md must exist. Run the analysis skill first if it doesn't.


What is an Insecure JWT Implementation

JWTs consist of three Base64URL-encoded parts: header.payload.signature. The header declares the signing algorithm (alg), the payload carries claims (e.g., sub, role, exp), and the signature is a cryptographic proof of integrity. Vulnerabilities arise when the server trusts the token's own claims about how it was signed, fails to verify the signature at all, uses a guessable secret, or trusts attacker-controlled key material embedded in the token itself.

The core pattern: the server does not fully verify the JWT's authenticity and integrity before trusting its claims.

What JWT Vulnerabilities ARE

1. Algorithm confusion — alg: none The server accepts a JWT whose header declares "alg": "none", bypassing signature verification entirely. An attacker crafts an arbitrary payload, sets alg to none, and omits the signature. If the library processes it, the forged token is accepted.

2. Algorithm confusion — RS256 → HS256 A server configured for RS256 (asymmetric: sign with private key, verify with public key) can be tricked into HS256 mode if the library allows the algorithm to be specified by the token. Since the public key is often retrievable, the attacker signs a forged token with HS256 using the server's public key as the HMAC secret. The server verifies the HMAC using the same public key and accepts the token.

3. Missing or disabled signature verification The server decodes the JWT payload without actually verifying the signature. Common patterns:

  • Python (PyJWT): jwt.decode(token, options={"verify_signature": False})
  • Node.js (jsonwebtoken): jwt.decode(token) instead of jwt.verify(token, secret)
  • Manual base64 decode of the payload with no signature check
  • algorithms=["none"] accepted in the decode call

Read the full file on GitHub · 488 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 8d ago First seen · 488 lines · 123 tokens per session scan A be3c5b270331

Subscribe to this mod's changes

sast-jwt is a skill published in the GitHub repository mtnyilmaz/agents (6 stars, last pushed 3mo ago), licensed MIT. It adds 123 tokens to every session and 5,862 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 100% identical to sast-jwt, differing in 0 lines, and is treated as a copy.

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