agentmods.dev

Patter AGENTS.md

Instructions for agents contributing to Patter, open-source telephony infrastructure that connects AI agents to phone calls. The project provides matching Python and TypeScript software libraries and requires specific practices for features, compatibility, and release notes.

In plain words
What is it for?
Use it when adding features, fixing bugs, changing APIs, updating both SDKs, writing changelog entries, or preparing a pull request for Patter.
Why use it?
It prevents one language library from gaining behavior that the other lacks. It also helps keep new settings compatible with existing users and records user-visible changes.

Instructions file for CodexOpenCode

1.0k +3 8d ago A scan 855 tokens original MIT
View the source file PatterAI/Patter
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/patterai/patter/agents-md
Clone the repo
git clone --depth 1 https://github.com/PatterAI/Patter

Made for: Codex, OpenCode.

Per session 855 This file is loaded in full into every session.
When invoked 855 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 $0.00855 $0.00855
Opus 5 $0.00428 $0.00428
Sonnet 5 $0.00171 $0.00171
Haiku 4.5 $0.00085 $0.00085

Measured 2d ago against content hash eda2ef9a8c85, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

Patter 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 · 68 lines

How it starts

The opening of the file, as written. The whole thing — 68 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md

Guidance for AI coding agents (Claude Code, Cursor, Codex, OpenClaw, …) working in this repository. Humans: see CONTRIBUTING.md — this file is the same contract in agent-readable form. Read this before opening a PR.

Patter is open-source telephony infrastructure that connects AI agents to phone calls. It ships two SDKs with full parity: Python (pip install getpatter, libraries/python/) and TypeScript (npm install getpatter, libraries/typescript/).

Non-negotiables (CI and reviewers block on these)

  1. Feature parity. Every user-visible feature lands in BOTH SDKs in the same PR, with the same API shape and defaults. Names map snake_case (Python) ↔ camelCase (TypeScript); everything else (field order, default values, error classes) matches. No Python-only or TS-only public surface.
  2. CHANGELOG.md in the same PR. Append an entry under ## Unreleased (### Added / ### Changed / ### Fixed / ### Deprecated / ### Removed / ### Security) for any user-visible change. Exempt: pure refactors, test-only, docs-only — note that in the PR description.
  3. Opt-in, backward-compatible. New config fields are optional with safe defaults. Never change an existing default or require a new credential.
  4. Authentic tests. Tests exercise real code paths. Mock ONLY the paid/external boundary (provider/carrier WebSocket, carrier HTTP) — tag Python mocks @pytest.mark.mocked, name TS mocks *.mocked.test.ts.
  5. No secrets / PII. No real API keys, phone numbers, emails, or customer SIDs in code, tests, docs, or notebooks. Use env vars + placeholders.
  6. No external license headers or "ported from " provenance comments in source files. Naming a provider/carrier you integrate (Twilio, Telnyx, Plivo, OpenAI, ElevenLabs, Deepgram, …) is expected and fine; copying a competitor SDK's lineage/headers is not.
  7. Async everywhere. All I/O is async (Python asyncio, TS Promises). Logger: Python logging.getLogger("getpatter"), TS getLogger() — never print() / bare console.* in library code.

Read the full file on GitHub · 68 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 · 68 lines · 855 tokens per session scan A eda2ef9a8c85

Subscribe to this mod's changes

Patter AGENTS.md is an instructions file published in the GitHub repository PatterAI/Patter (1,042 stars, last pushed 8d ago), licensed MIT. It adds 855 tokens to every session, about $0.0043 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.

Code reviewDebuggingGit and workflowopen-sourceopenaipythonsdkspeech-to-texttelnyx
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