neonwatty

Agent Acceptance Grounding Prompts

Use this as a portable starting point for project-specific AGENTS.md, CLAUDE.md, PR templates, manager prompts, worker orchestration flows, and local AI coding skills.

The core idea: assume the implementation is still wrong until evidence proves otherwise. Do not let an agent declare work complete because tests passed, a worker said "done," a generated summary sounds confident, or the UI looked okay once. Make the agent find the failure mode that would embarrass the PR after merge, then either fix it or document the evidence that rules it out.

Core Instruction

## Burden Of Proof

neonwatty

import sys
import os
import datasets
from huggingface_hub import HfApi, upload_file


def update_dataset_card(dataset_id: str, update: str, cache_dir="./dataset"):
    # Authenticate
    api = HfApi()