twitter-cli is a terminal program for reading and managing Twitter/X content without API keys. It lets users and coding agents view feeds, bookmarks, profiles, searches, tweets, and replies, as well as post, like, retweet, and delete tweets.
Borrowing it
Nothing to install: this file belongs to public-clis/twitter-cli. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/public-clis/twitter-cli/main/AGENTS.mdgit clone --depth 1 https://github.com/public-clis/twitter-cliWrote 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/public-clis/twitter-cli/agents-md)<a href="https://agentmods.dev/instructions/public-clis/twitter-cli/agents-md"><img src="https://agentmods.dev/badge/instructions/public-clis/twitter-cli/agents-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/public-clis/twitter-cli/agents-md"><img src="https://agentmods.dev/badge/instructions/public-clis/twitter-cli/agents-md.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00541 | $0.00541 |
| Opus 5.5 | $0.00216 | $0.00216 |
| Sonnet 5.5 | $0.00108 | $0.00108 |
| Haiku 4.5 | $0.00054 | $0.00054 |
Grade A, and why
twitter-cli 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 2mo 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.
How it starts
The opening of the file, as written. The whole thing — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md — Agent Developer Guide for twitter-cli
This file provides context for AI agents working in this repository.
Project Overview
- Project: twitter-cli — A CLI for Twitter/X (read timelines, bookmarks, search, post, reply, etc.)
- Language: Python 3.10+
- Package Manager: uv (recommended) / pip
- Repository: https://github.com/jackwener/twitter-cli
Build, Lint, and Test Commands
# Install all dependencies (including dev)
uv sync --extra dev
# Run ruff linter
uv run ruff check .
# Run mypy type checker
uv run mypy twitter_cli
# Run all tests (excludes smoke tests by default)
uv run pytest -q
# Run a single test
uv run pytest tests/test_cli.py::test_feed_command -v
# Run tests matching pattern
uv run pytest -k "test_parse" -v
Code Style
- Line length: 100 characters
- Python version: 3.10+
- Use
from __future__ import annotationsat top of all .py files - Functions/variables:
snake_case, Classes:PascalCase, Constants:UPPER_SNAKE_CASE - Private functions: prefix with
_ - Use
@dataclassfor data models (inmodels.py) - Use Click framework for CLI commands
- Custom exceptions in
exceptions.py, base:TwitterError(RuntimeError)
Project Structure
twitter_cli/
├── cli.py # Click CLI entry point
├── client.py # Twitter API client (HTTP)
├── auth.py # Cookie extraction & auth
├── graphql.py # GraphQL query IDs
├── parser.py # Tweet/User parsing
├── models.py # Dataclass models
├── formatter.py # Rich table formatting
├── serialization.py # YAML/JSON output
├── output.py # Structured output helpers
├── config.py # Config loading
├── filter.py # Tweet ranking/scoring
├── constants.py # Constants
├── exceptions.py # Custom exceptions
├── cache.py # Tweet caching
├── search.py # Search utilities
└── timeutil.py # Time utilities
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.
- 2mo ago First seen · 71 lines · 541 tokens per session scan A 86d3d60e7ba8
twitter-cli AGENTS.md is an instructions file published in the GitHub repository public-clis/twitter-cli (3,017 stars, last pushed 6mo ago), licensed Apache-2.0. It adds 541 tokens to every session, about $0.0022 per session on Opus 5.5. 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.
twitter-cli AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| twitter-cli AGENTS.mdpublic-clis/twitter-cli | Instructions file | 3.0k | 6mo ago | Apache-2.0 | A | 541 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | today | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |