القائمة
Code execution and submission tools for DataNode (Black/Red) agents. Manages DataLoader code, runs assembled scripts, validates and grades submissions.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Dataset discovery and download toolkit covering HuggingFace, GitHub, Google, and academic paper search. Use when you need to find, inspect, or download ML datasets.
Tree-structured memory management for node-based exploration. Manages global memory, data link records, and per-node manifest (TL;DR + recordings). Use when agents need to persist, share, or retrieve exploration knowledge.
Data loading, cleaning, external-data merge, and validation-diagnosis guidance for black-node style ML agents. Use when a coding agent must improve data quality or integrate external datasets without changing the core model logic, especially for image tasks but also for tabular and text tasks.
Retrieval-Augmented Generation (RAG) skill for generic semantic search and knowledge retrieval. Use when you need to build or call vector-based search over your own documents using vector indexes (optional FAISS) and embedding models (local transformers or OpenAI embeddings), or when integrating LLMs with external knowledge bases in a project-agnostic way.
| name | operate-tools |
| description | Code execution and submission tools for DataNode (Black/Red) agents. Manages DataLoader code, runs assembled scripts, validates and grades submissions. |
| license | Complete terms in LICENSE.txt |
Code management, execution, validation, and grading for Black/Red nodes. Nodes can only modify code_{node_id}_dataloader.py; template is inherited and read-only.
base_dataloader.py + "\n\n" + code_{node_id}_dataloader.py + code_{node_id}_template.py
All commands require -w WORKSPACE -n NODE_ID.
| Tool | CLI |
|---|---|
read_code | python scripts/operate_cli.py -w WORKSPACE -n NODE_ID read-code |
write_code | python scripts/operate_cli.py -w WORKSPACE -n NODE_ID write-code --code "..." |
write_code (file) | python scripts/operate_cli.py -w WORKSPACE -n NODE_ID write-code --code-file /path/to/file.py |
write_code (override) | python scripts/operate_cli.py -w WORKSPACE -n NODE_ID write-code --code "..." --override |
fix_code | python scripts/operate_cli.py -w WORKSPACE -n NODE_ID fix-code --old "..." --new "..." |
fix_code (all) | python scripts/operate_cli.py -w WORKSPACE -n NODE_ID fix-code --old "..." --new "..." --replace-all |
| Tool | CLI |
|---|---|
run_code | python scripts/operate_cli.py -w WORKSPACE -n NODE_ID run-code [--timeout 3600] |
| Tool | CLI |
|---|---|
validate_submission | python scripts/operate_cli.py -w WORKSPACE -n NODE_ID validate |
grade_code | python scripts/operate_cli.py -w WORKSPACE -n NODE_ID grade [--timeout 300] |
{workspace}/
├── input/ # Input data (train.csv, test.csv, val.csv, ...)
├── submission/
│ └── submission_{node_id}.csv # Generated submission file
├── code_{node_id}_dataloader.py # YOUR code (modifiable)
├── code_{node_id}_template.py # Parent's template (read-only)
└── code_{node_id}.py # Assembled code (auto-generated on run)
code_{node_id}_dataloader.py must define a MyDataLoader(BaseDataLoader) class:
# No import statements needed - auto-assembled with base_dataloader.py
class MyDataLoader(BaseDataLoader):
def __init__(self, **kwargs):
super().__init__(**kwargs)
def setup(self):
# Load data, feature engineering, augmentation
# Must set self.train_data and self.test_data
self.train_data = ...
self.test_data = ...
def describe(self) -> str:
return "Description of data processing approach"
Constraints:
MyDataLoader, inheriting BaseDataLoaderBaseDataLoader (auto-assembled)input/val.csv if it exists; do not use train_test_split randomly1. read-code → View base + dataloader + template
2. write-code → Write MyDataLoader class
3. run-code → Execute (auto-assembles all components)
4. fix-code → Fix issues in dataloader
5. validate → Validate submission file
6. grade → Get final score
scripts/
├── operate_cli.py # CLI wrapper
├── for_datanode.py # Tool functions (from operate_submission/)
├── _submission_utils.py # Shared utilities (from operate_submission/)
├── base_dataloader.py # BaseDataLoader ABC
└── grading_server_runner.py # Standalone grading server