agent-auth AGENTS.md

Project instructions for agent-auth, a service that stores login details securely and supplies them to browsers or web requests without showing them to the AI agent. It describes the code structure, testing approach, and security rules.

In plain words
What is it for?
Use it when changing, testing, or reviewing the agent-auth codebase, including its command-line interface, browser automation, credential vault, request handling, and security checks.
Why use it?
It helps an agent work in the project without bypassing protections around passwords, one-time login codes, allowed domains, approvals, or audit records.

Instructions file for CodexOpenCode

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 instructions/ex-nihilo-labs/agent-auth/agents-md
Clone the repo
git clone --depth 1 https://github.com/ex-nihilo-labs/agent-auth

Made for: Codex, OpenCode.

Per session 784 This file is loaded in full into every session.
When invoked 784 The same file — it is already loaded in full.
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 $0.00784 $0.00784
Opus 5 $0.00392 $0.00392
Sonnet 5 $0.00157 $0.00157
Haiku 4.5 $0.00078 $0.00078

Measured 2d ago against content hash f4e546c86a77, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

agent-auth AGENTS.md 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.

AGENTS.md · 65 lines

How it starts

The opening of the file, as written. The whole thing — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.

agent-auth

Zero-knowledge credential service for AI agents. MCP server that injects credentials into browsers and HTTP requests without the agent ever seeing them.

Architecture

agent-auth/
├── src/
│   ├── index.ts              # Entry point — CLI dispatcher + MCP serve
│   ├── mcp/                  # MCP stdio server, 3 tools
│   ├── browser/              # CDP injection via Playwright (fill/type/click/wait/select)
│   ├── placeholder/          # {{email}}, {{username}}, {{password}}, {{totp}} resolution
│   ├── vault/                # AES-256-GCM encrypted SQLite vault + Argon2id KDF
│   ├── totp/                 # TOTP code generation via otpauth
│   ├── proxy/                # HTTP credential injection (6 methods)
│   ├── approval/             # Human approval gate + Pushover notifications
│   ├── security/             # Rate limiter, input validator, domain allowlist
│   ├── audit/                # Append-only JSONL audit log
│   └── cli/                  # Human-only credential management
├── tests/                    # 65 tests across 6 suites
└── ~/.agent-auth/            # Vault data (gitignored, local only)
    ├── vault.db              # Encrypted SQLite
    ├── keyring.json          # Master key (file fallback when keychain unavailable)
    └── audit.log             # JSONL audit trail

Stack

Bun, TypeScript (strict), @modelcontextprotocol/sdk, playwright-core, bun:sqlite, otpauth, @noble/hashes (Argon2id)

How to Test

AGENT_AUTH_NO_KEYCHAIN=1 bun test    # 65 tests, all suites
bun run typecheck                     # TypeScript strict mode

AGENT_AUTH_NO_KEYCHAIN=1 avoids macOS Keychain permission dialogs in tests and CI.

Security Rules

These are non-negotiable. PRs that violate them will be rejected.

  1. Credentials are NEVER converted to JS strings. They flow as Buffer/Uint8Array and are zeroed with buf.fill(0) after injection. JS strings are immutable and GC'd — cannot be zeroed.
  2. TOTP codes are NEVER returned to the agent. They are only injected via browser CDP or HTTP proxy.
  3. Domain allowlist is deny-by-default. Credentials can only be injected into explicitly listed domains.
  4. Domain is verified AFTER each navigation step to catch redirects to unauthorized domains.
  5. Rate limiting persists across restarts (SQLite-backed, not in-memory).
  6. First use of any credential+domain pair requires human approval (Pushover notification with 4-digit code, 50s window).
  7. No cloud features. The vault is local-only. No sync, no upload, no phoning home.
  8. No new runtime dependencies without justification. We have 5. That's enough.

Read the full file on GitHub · 65 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 · 65 lines · 784 tokens per session scan A f4e546c86a77

Subscribe to this mod's changes

agent-auth AGENTS.md is an instructions file published in the GitHub repository ex-nihilo-labs/agent-auth (1 stars, last pushed 4mo ago), licensed MIT. It adds 784 tokens to every session, about $0.0039 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 2026-08-31.

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