Vision Agents is a toolkit for building real-time multimodal AI agents that watch, listen to, and understand video. Developers use it to combine video providers and models such as YOLO, Gemini, OpenAI, and Claude in applications with voice and vision interactions.
Borrowing it
Nothing to install: this file belongs to GetStream/Vision-Agents. 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/GetStream/Vision-Agents/main/CLAUDE.mdgit clone --depth 1 https://github.com/GetStream/Vision-AgentsWrote 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/getstream/vision-agents/claude-md)<a href="https://agentmods.dev/instructions/getstream/vision-agents/claude-md"><img src="https://agentmods.dev/badge/instructions/getstream/vision-agents/claude-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/getstream/vision-agents/claude-md"><img src="https://agentmods.dev/badge/instructions/getstream/vision-agents/claude-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 | $0.01252 | $0.01252 |
| Opus 5.5 | $0.00501 | $0.00501 |
| Sonnet 5.5 | $0.00250 | $0.00250 |
| Haiku 4.5 | $0.00125 | $0.00125 |
Grade A, and why
Vision-Agents CLAUDE.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 — 120 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
Project overview
Python monorepo managed with uv workspaces.
The core framework lives in agents-core/ and plugins live in plugins/ (37+ packages).
Python >= 3.10, 3.12 recommended.
Commands
All commands use uv. Never use python -m. If you run into dependency issues, stop and ask.
# Full check (ruff + mypy + unit tests)
uv run --no-sync dev.py check
# Unit tests only (--no-sync avoids uv panic in sandboxed environments)
uv run --no-sync pytest -m "not integration"
# Integration tests (needs .env secrets)
uv run --no-sync pytest -m "integration"
# Lint & format
uv run --no-sync ruff check .
uv run --no-sync ruff format .
# Type check
uv run --no-sync mypy
Testing
- Framework: pytest. Never mock.
@pytest.mark.asynciois not needed (asyncio_mode = auto).- Integration tests use
@pytest.mark.integration. - NEVER adjust
sys.path. - Keep unit-tests for the class under the same test class. Do not spread them around different test classes. For example, tests for
Agentmust be insideTestAgent, etc. - ALWAYS test behavior, not calling a path.
- Use pytest.fixture for test setup, not helper methods
- NEVER observe method calls in tests; assert on outputs and state.
Python rules
- Never use
from __future__ import annotations. - Prefer specific exceptions if they are known. If the exception type is not clear, it is ok to use
except Exception as e. - Avoid
getattr,hasattr,delattr,setattr; prefer normal attribute access. - Docstrings: Google style, keep them short.
- Do not use section comments like
# -- some section -- - Prefer
logger.exception()when logging an error with a traceback instead oflogger.error("Error: {exc}") - Do not use local imports, import at the top of the module
- Avoid
# type: ignorecomments. - Avoid using
Anytype. - When adding code to an existing file, follow the patterns already established in that file (e.g. error handling style, import guards, naming).
Code style
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 · 120 lines · 1,252 tokens per session scan A 7d27c6d9ce46
Vision-Agents CLAUDE.md is an instructions file published in the GitHub repository GetStream/Vision-Agents (8,193 stars, last pushed today), licensed Apache-2.0. It adds 1,252 tokens to every session, about $0.0050 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.
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