atlan-python AGENTS.md

Project-specific instructions for Atlan's Python SDK, which lets Python programs use the Atlan data-governance service through its REST API.

In plain words
What is it for?
Use them when changing the pyatlan SDK or building integrations that manage Atlan users, metadata, permissions, tables, files, or API calls.
Why use it?
They help coding agents work safely with credentials, network requests, retries, caching, and sensitive data without exposing API keys.

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/atlanhq/atlan-python/agents-md
Clone the repo
git clone --depth 1 https://github.com/atlanhq/atlan-python

Made for: Codex, OpenCode.

Per session 876 This file is loaded in full into every session.
When invoked 876 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 $0.00876 $0.00876
Opus 5 $0.00438 $0.00438
Sonnet 5 $0.00175 $0.00175
Haiku 4.5 $0.00088 $0.00088

Measured yesterday against content hash 5e659e1e6e03, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

atlan-python 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 yesterday.

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 · 51 lines

How it starts

The opening of the file, as written. The whole thing — 51 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Security

Follow these security guidelines for every change to the pyatlan SDK.

Contact

  • Security Team: #bu-security-and-it on Slack

Quickstart for Agents

atlan-python (pyatlan) is Atlan's Python SDK, providing typed wrappers around the Atlan REST API. Key modules:

  • pyatlan/client/atlan.pyAtlanClient (Pydantic BaseSettings); initialised with base_url and api_key; uses httpx with PyatlanSyncTransport / async variant; supports impersonation via ImpersonationClient.
  • pyatlan/client/transport.pyPyatlanSyncTransport and async variant wrap httpx.HTTPTransport with retry logic; trust_env=True by default to respect HTTPS_PROXY env.
  • pyatlan/client/credential.py — manages credential objects (Vault-stored secrets).
  • pyatlan/client/token.py — manages API tokens (long-lived service account keys).
  • pyatlan/cache/ — caches for tags, groups, roles, custom metadata.

Review every change for:

  • API key loggingAtlanClient holds api_key (set as Authorization: Bearer <key> on every request); it must never appear in log output, error messages, or exception tracebacks; wrap all httpx error handling to strip Authorization from logged request details; the api_key field must be excluded from any Pydantic model dict() / model_dump() used for logging.
  • Impersonation token safetyImpersonationClient generates short-lived impersonation JWTs; these tokens must not be logged; the target user's identity (email/username) may be logged but not the token value.
  • TLS verificationPyatlanSyncTransport must never pass verify=False to httpx.HTTPTransport; if users need to use custom CA bundles, accept a path to the bundle, not a False flag.
  • base_url validationbase_url is validated as HttpUrl via Pydantic; ensure validation rejects non-HTTPS URLs in production builds (the HttpUrl type allows HTTP by default — add a validator if HTTPS is required).
  • Proxy credential exposuretrust_env=True means HTTPS_PROXY is honoured; proxy credentials embedded in the URL (e.g., http://user:pass@proxy) must not be echoed in log output; strip credentials from proxy URLs before logging.
  • Credential object sensitivityCredentialClient returns objects with username and potentially password fields; these must not be logged; use repr/str exclusion for credential model classes.

Read the full file on GitHub · 51 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. yesterday First seen · 51 lines · 876 tokens per session scan A 5e659e1e6e03

Subscribe to this mod's changes

atlan-python AGENTS.md is an instructions file published in the GitHub repository atlanhq/atlan-python (22 stars, last pushed 4d ago), licensed Apache-2.0. It adds 876 tokens to every session, about $0.0044 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.