authentication-failures

A security review guide for authentication code, covering password storage, login credentials, sessions, signed tokens, and multi-factor authentication (MFA), which adds another identity check beyond a password.

In plain words
What is it for?
Use it when building or reviewing login flows, session handling, password hashing, JWT validation, logout, MFA, rate limits, or credential checks.
Why use it?
It helps find weaknesses that could let attackers impersonate users, keep access after logout, or guess credentials repeatedly.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/thejefflarson/soundcheck/authentication-failures
Any agent
npx skills add thejefflarson/soundcheck --skill authentication-failures
Clone the repo
git clone --depth 1 https://github.com/thejefflarson/soundcheck

Made for: Claude Code, Codex.

Per session 69 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 860 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found 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 $0.00069 $0.00860
Opus 5 $0.00034 $0.00430
Sonnet 5 $0.00014 $0.00172
Haiku 4.5 $0.00007 $0.00086

Measured 2d ago against content hash e2db75ca384f, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

authentication-failures scanned grade A with 0 findings 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 2d 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.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.claude/skills/authentication-failures/SKILL.md · 67 lines

How it starts

The opening of the file, as written. The whole thing — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Authentication Failures Security Check (A07:2025)

What this checks

Protects identity and session integrity. Weak password storage, flawed JWT handling, and sessions that survive logout let attackers impersonate users, escalate privileges, and persist after credential rotation.

Vulnerable patterns

  • JWT verification call with a weak, short, or hardcoded signing secret
  • JWT decode that disables signature verification or accepts the none algorithm
  • Logout handler that does not invalidate the session or token server-side
  • Login flow with no rate limiting or account lockout, allowing credential stuffing
  • Password or API-key comparison using a non-constant-time equality operator

For password hashing issues (MD5/SHA), see cryptographic-failures. For hardcoded API keys/passwords in source, see hardcoded-secrets.

Fix immediately

Flag the vulnerable code and explain the risk. Then suggest a fix that establishes these properties:

  1. Signing keys come from outside the source tree — environment variable, secret manager, or KMS. Enforce a minimum length or entropy check at load time so a misconfigured deploy fails loudly rather than silently using a tiny secret.
  2. JWT verification pins the accepted algorithm(s) to an explicit allowlist that rejects none and rejects algorithm switching between symmetric and asymmetric families (the classic HS256-vs-RS256 public-key-as-HMAC attack). The check must be algorithm-specific, however the library expresses it.
  3. Logout invalidates credentials server-side. Either delete a server session record, add the token to a revocation list, or rotate a per-user signing key. Short token expiry alone does not satisfy this — a stolen token works until it expires. The code must demonstrate an active revocation mechanism.
  4. Password and API-key comparisons are constant-time — use the language's documented constant-time comparison primitive, never a plain equality operator.
  5. Login has a rate limit or lockout. Credential stuffing is cheap; unbounded guess rates make every leaked password list a working brute-force dictionary.

Read the full file on GitHub · 67 lines

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. 2d ago First seen · 67 lines · 69 tokens per session scan A e2db75ca384f

Subscribe to this mod's changes

authentication-failures is a skill published in the GitHub repository thejefflarson/soundcheck (20 stars, last pushed 1mo ago), licensed MIT. It adds 69 tokens to every session and 860 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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