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.
npx agentmods add instructions/bunizao/okta-auth/agents-mdgit clone --depth 1 https://github.com/bunizao/okta-authWrote 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.
[](https://agentmods.dev/instructions/bunizao/okta-auth/agents-md)<a href="https://agentmods.dev/instructions/bunizao/okta-auth/agents-md"><img src="https://agentmods.dev/badge/instructions/bunizao/okta-auth/agents-md.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00611 | $0.00611 |
| Opus 5 | $0.00305 | $0.00305 |
| Sonnet 5 | $0.00122 | $0.00122 |
| Haiku 4.5 | $0.00061 | $0.00061 |
Grade A, and why
okta-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 5d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- okta-auth CLAUDE.md — 94% identical, 4 lines differ
How it starts
The opening of the file, as written. The whole thing — 62 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
This file provides guidance to Codex (Codex.ai/code) when working with code in this repository.
Project Overview
okta-auth is an Okta login toolkit with an interactive CLI and an MCP server for session reuse. It uses Playwright to automate Okta SSO and persists per-domain session state for reuse by AI agents.
Commands
# Setup
uv venv && source .venv/bin/activate
uv pip install -e '.[dev]'
playwright install chromium
# Quality gates (run all three before submitting)
ruff format --check .
ruff check .
pytest
# Run single test
pytest tests/test_session_store.py -v
# Run interactive CLI
okta
# Run MCP server (stdio transport, stdout is JSON-RPC)
okta-auth
Architecture
src/okta_auth/
├── server.py # FastMCP entry point, defines all 5 MCP tools
├── log.py # Stderr-only logging (stdout reserved for JSON-RPC)
├── auth/
│ ├── login.py # auto_login() engine: selector-based form filling, portal detection, MFA/TOTP
│ ├── session_store.py # Per-domain session CRUD at ~/.okta-auth/sessions/
│ └── totp.py # pyotp wrapper for TOTP code generation
└── browser/
├── controller.py # BrowserController async context manager, BrowserConfig dataclass
├── detection.py # Cross-platform browser executable discovery with env var overrides
└── helpers.py # fill_first_match(), click_first_match(), maybe_switch_to_code_factor()
Key Patterns
- Selector redundancy:
login.pydefines 16+ CSS selectors per form field (USERNAME_SELECTORS, PASSWORD_SELECTORS, etc.) tried in priority order for broad Okta form compatibility. - Portal detection:
_is_on_portal()confirms auth completion by checking domain change + login field absence. - Session keying: Sessions are stored as
{domain_hash}.json+{domain_hash}.meta.jsonusing the URL's netloc as the domain key. - Async-first: All I/O uses
async/await; the server runs on asyncio via FastMCP. - Browser fallback:
BrowserControllertries the requested channel first, falls back to default Chromium on launch failure.
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.
- 5d ago First seen · 62 lines · 611 tokens per session scan A 5ce4165746bb
okta-auth AGENTS.md is an instructions file published in the GitHub repository bunizao/okta-auth (4 stars, last pushed 1mo ago), licensed MIT. It adds 611 tokens to every session, about $0.0031 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.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.