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/tele-ai/telefuser/claude-mdgit clone --depth 1 https://github.com/Tele-AI/TeleFuserWrote 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/tele-ai/telefuser/claude-md)<a href="https://agentmods.dev/instructions/tele-ai/telefuser/claude-md"><img src="https://agentmods.dev/badge/instructions/tele-ai/telefuser/claude-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 | $0.02169 | $0.02169 |
| Opus 5 | $0.01085 | $0.01085 |
| Sonnet 5 | $0.00434 | $0.00434 |
| Haiku 4.5 | $0.00217 | $0.00217 |
Grade A, and why
TeleFuser 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 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.
How it starts
The opening of the file, as written. The whole thing — 180 lines — stays where its author put it; the contents beside it link to each section on GitHub.
TeleFuser - Agent Guidelines
Scope And Sources Of Truth
TeleFuser is a high-performance multimodal inference framework built with Python, PyTorch, CUDA, FastAPI, and Ray.
- Treat the current repository, tests, and documentation as the API source of truth.
- Use README.md for project structure, supported models, and documentation discovery.
- Use CONTRIBUTING.md for development setup, contribution workflow, and coding standards.
- Read the relevant guides under
docs/en/ordocs/zh/before changing a subsystem. - Prefer the closest maintained implementation and its tests over adding a new pattern.
Repository Map
telefuser/
core/ Base abstractions, configuration, and module management
pipelines/ Model-specific pipeline and stage implementations
models/ DiT, VAE, text encoder, and other model architectures
ops/ Public compile-aware operation dispatch
kernel/triton/ Internal Triton kernel implementations
schedulers/ Diffusion schedulers
distributed/ FSDP, tensor/pipeline/sequence parallelism, and communication
feature_cache/ Feature caching implementations
cache/ General cache management
offload/ CPU and device offload strategies
metrics/ Runtime measurement and raw metrics
orchestrator/ Request and actor-based streaming orchestration
worker/ Distributed worker management
service/ FastAPI and LiveKit-backed services
client/ Python client SDK
entrypoints/ CLI entry points
platforms/ CUDA, NPU, and CPU abstractions
examples/ Runnable examples and model-specific usage guides
tests/ Unit, integration, and regression tests
docs/ English and Chinese documentation
tf-kernel/ Independently packaged optional CUDA kernels
Common Commands
pip install -e ".[dev]"
pre-commit run --all-files
pytest tests/
bash scripts/run_ci_tests.sh
telefuser serve /path/to/pipeline.py --port 8000
telefuser stream-serve /path/to/pipeline.py --port 8088
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 · 180 lines · 2,169 tokens per session scan A 3001dfb38743
TeleFuser CLAUDE.md is an instructions file published in the GitHub repository Tele-AI/TeleFuser (24 stars, last pushed yesterday), licensed Apache-2.0. It adds 2,169 tokens to every session, about $0.0108 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.
Other instructions, from other repositories
diffusers CLAUDE.md
Claude Code instructions for huggingface/diffusers, a project described as: 🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
apm python.instructions.md
Python development guidelines.
technocore-chat AGENTS.md
AGENTS.md instructions for flop-labs/technocore-chat: CI runs exactly these — run them before pushing.
foundry-local python-cffi-pointer-types.instructions.md
Use when working on the Python SDK's native bindings (cffi), especially when defining new Item subclasses, working with flItemQueue, or extending Request/Session methods that pass native handles.
pydantic-ai-gepa AGENTS.md
AGENTS.md instructions for indexedlabs/pydantic-ai-gepa, covering repository guidelines, mighty workflow, project structure & module organization, build, test, and development commands and coding style & naming conventions.
diffusers AGENTS.md
AGENTS.md instructions for huggingface/diffusers, a project described as: 🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.