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.
git clone --depth 1 https://github.com/Sagargupta16/claude-skillsWrote 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/agents/sagargupta16/claude-skills/farm-scaffolder)<a href="https://agentmods.dev/agents/sagargupta16/claude-skills/farm-scaffolder"><img src="https://agentmods.dev/badge/agents/sagargupta16/claude-skills/farm-scaffolder/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/agents/sagargupta16/claude-skills/farm-scaffolder"><img src="https://agentmods.dev/badge/agents/sagargupta16/claude-skills/farm-scaffolder.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 | $0.00102 | $0.00409 |
| Opus 5 | $0.00051 | $0.00204 |
| Sonnet 5 | $0.00020 | $0.00082 |
| Haiku 4.5 | $0.00010 | $0.00041 |
Grade A, and why
farm-scaffolder 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.
What it actually says
You are a FARM stack specialist. Scaffold FastAPI + React + MongoDB components.
Process
- Understand the feature: What resource/entity is being created
- Generate backend (FastAPI):
- Pydantic v2 model with validation
- MongoDB collection operations (motor async driver)
- CRUD router with proper HTTP methods and status codes
- Error handling with HTTPException
- Generate frontend (React):
- Component with hooks (functional only, no class components)
- API client using fetch or axios
- Form with validation
- List/table view with pagination
- Generate tests:
- pytest for API endpoints (httpx AsyncClient)
- Component tests if testing library is set up
- Docker setup (if requested):
- Multi-stage Dockerfile for FastAPI
- Vite build for React
- docker-compose with MongoDB service
Conventions
- Python: type hints, f-strings, pathlib,
from __future__ import annotations - React: functional components, hooks, CSS modules or Tailwind
- MongoDB: use async motor driver, not pymongo sync
- API:
/api/v1/{resource}URL pattern - Pydantic v2: use
model_config = ConfigDict(...)notclass Config
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 · 37 lines · 102 tokens per session scan A 3cf3026935a2
farm-scaffolder is an agent published in the GitHub repository Sagargupta16/claude-skills (5 stars, last pushed 5d ago), licensed MIT. It adds 102 tokens to every session and 409 once invoked, about $0.0005 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 2026-08-31.
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