Borrowing it
Nothing to install: this file belongs to llama-farm/llamafarm. 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/llama-farm/llamafarm/main/.claude/skills/python-skills/SKILL.mdgit clone --depth 1 https://github.com/llama-farm/llamafarmWrote 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/skills/llama-farm/llamafarm/python-skills)<a href="https://agentmods.dev/skills/llama-farm/llamafarm/python-skills"><img src="https://agentmods.dev/badge/skills/llama-farm/llamafarm/python-skills/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/skills/llama-farm/llamafarm/python-skills"><img src="https://agentmods.dev/badge/skills/llama-farm/llamafarm/python-skills.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Privilege Escalation · line 57 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
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 | $0.00028 | $0.01248 |
| Opus 5.5 | $0.00011 | $0.00499 |
| Sonnet 5.5 | $0.00006 | $0.00250 |
| Haiku 4.5 | $0.00003 | $0.00125 |
Grade A, and why
python-skills 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 1mo 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 — 171 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Python Skills for LlamaFarm
Shared Python best practices and code review checklists for all Python components in the LlamaFarm monorepo.
Applicable Components
| Component | Path | Python | Key Dependencies |
|---|---|---|---|
| Server | server/ |
3.12+ | FastAPI, Celery, Pydantic, structlog |
| RAG | rag/ |
3.11+ | LlamaIndex, ChromaDB, Celery |
| Universal Runtime | runtimes/universal/ |
3.11+ | PyTorch, transformers, FastAPI |
| Config | config/ |
3.11+ | Pydantic, JSONSchema |
| Common | common/ |
3.10+ | HuggingFace Hub |
Quick Reference
| Topic | File | Key Points |
|---|---|---|
| Patterns | patterns.md | Dataclasses, Pydantic, comprehensions, imports |
| Async | async.md | async/await, asyncio, concurrent execution |
| Typing | typing.md | Type hints, generics, protocols, Pydantic |
| Testing | testing.md | Pytest fixtures, mocking, async tests |
| Errors | error-handling.md | Custom exceptions, logging, context managers |
| Security | security.md | Path traversal, injection, secrets, deserialization |
Code Style
LlamaFarm uses ruff with shared configuration in ruff.toml:
line-length = 88
target-version = "py311"
select = ["E", "F", "I", "B", "UP", "SIM"]
Key rules:
- E, F: Core pyflakes and pycodestyle
- I: Import sorting (isort)
- B: Bugbear (common pitfalls)
- UP: Upgrade syntax to modern Python
- SIM: Simplify code patterns
Architecture Patterns
Settings with pydantic-settings
from pydantic_settings import BaseSettings
class Settings(BaseSettings, env_file=".env"):
LOG_LEVEL: str = "INFO"
HOST: str = "0.0.0.0"
PORT: int = 14345
settings = Settings() # Singleton at module level
Structured Logging with structlog
from core.logging import FastAPIStructLogger # Server
from core.logging import RAGStructLogger # RAG
from core.logging import UniversalRuntimeLogger # Runtime
logger = FastAPIStructLogger(__name__)
logger.info("Operation completed", extra={"count": 10, "duration_ms": 150})
What ships with it
6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 1mo ago First seen · 171 lines · 28 tokens per session scan A 558d91974e73
python-skills is a skill published in the GitHub repository llama-farm/llamafarm (836 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 28 tokens to every session and 1,248 once invoked, about $0.0001 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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