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/server-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/server-skills)<a href="https://agentmods.dev/skills/llama-farm/llamafarm/server-skills"><img src="https://agentmods.dev/badge/skills/llama-farm/llamafarm/server-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/server-skills"><img src="https://agentmods.dev/badge/skills/llama-farm/llamafarm/server-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 78 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 | $0.00030 | $0.01279 |
| Opus 5 | $0.00015 | $0.00639 |
| Sonnet 5 | $0.00006 | $0.00256 |
| Haiku 4.5 | $0.00003 | $0.00128 |
Grade A, and why
server-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 11d 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 — 153 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Server Skills for LlamaFarm
Framework-specific patterns and code review checklists for the LlamaFarm Server component.
Overview
| Property | Value |
|---|---|
| Path | server/ |
| Python | 3.12+ |
| Framework | FastAPI 0.116+ |
| Task Queue | Celery 5.5+ |
| Validation | Pydantic 2.x, pydantic-settings |
| Logging | structlog with FastAPIStructLogger |
Links to Shared Skills
This skill extends the shared Python skills. See:
- Python Patterns - Dataclasses, comprehensions, imports
- Async Patterns - async/await, asyncio, concurrency
- Typing Patterns - Type hints, generics, Pydantic
- Testing Patterns - Pytest, fixtures, mocking
- Error Handling - Exceptions, logging, context managers
- Security Patterns - Path traversal, injection, secrets
Server-Specific Checklists
| Topic | File | Key Points |
|---|---|---|
| FastAPI | fastapi.md | Routes, dependencies, middleware, exception handlers |
| Celery | celery.md | Task patterns, error handling, retries, signatures |
| Pydantic | pydantic.md | Pydantic v2 models, validation, serialization |
| Performance | performance.md | Async patterns, caching, connection pooling |
Architecture Overview
server/
├── main.py # Uvicorn entry point, MCP mount
├── api/
│ ├── main.py # FastAPI app factory, middleware setup
│ ├── errors.py # Custom exceptions + exception handlers
│ ├── middleware/ # ASGI middleware (structlog, errors)
│ └── routers/ # API route modules
│ ├── projects/ # Project CRUD endpoints
│ ├── datasets/ # Dataset management
│ ├── rag/ # RAG query endpoints
│ └── ...
├── core/
│ ├── settings.py # pydantic-settings configuration
│ ├── logging.py # structlog setup, FastAPIStructLogger
│ └── celery/ # Celery app configuration
│ ├── celery.py # Celery app instance
│ └── rag_client.py # RAG task signatures and helpers
├── services/ # Business logic layer
│ ├── project_service.py # Project CRUD operations
│ ├── dataset_service.py # Dataset management
│ └── ...
├── agents/ # AI agent implementations
└── tests/ # Pytest test suite
What ships with it
4 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.
- 11d ago First seen · 153 lines · 30 tokens per session scan A e1cca6f04b48
server-skills is a skill published in the GitHub repository llama-farm/llamafarm (838 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 30 tokens to every session and 1,279 once invoked, about $0.0002 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.
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