Hugging Face#

Operate Hugging Face through your OOMOL-connected account. This skill calls the huggingface connector with the oo CLI; OOMOL injects credentials server-side, so you never handle raw tokens.

Running an action#

Assume the user has already installed the oo CLI, signed in, and connected Hugging Face. Do not run oo auth login or open the connection URL proactively — just run the action. Fall back to First-time setup only when a command actually fails with an auth or connection error.

1. Inspect the contract to get the authoritative input/output schema before building a payload:

bash

oo connector schema "huggingface" --action "<action_name>"

2. Run the action with a JSON payload that matches the input schema:

bash

oo connector run "huggingface" --action "<action_name>" --data '<json>' --json

• --data takes a JSON object string or @path/to/file.json; omit it to send {}.
• The response is { "data": ..., "meta": { "executionId": "..." } }; the execution id lives under meta.executionId.

Each action is listed below with a one-line description; actions that change state carry a [write] or [destructive] tag. Before constructing --data, fetch the action's live schema with oo connector schema to get its authoritative input fields.

Available actions#

• generate_chat_completion — Generate a chat completion with Hugging Face Inference Providers.
• generate_embeddings — Generate text embeddings with Hugging Face inference.
• get_current_user — Get the current authenticated Hugging Face user profile.
• get_dataset_first_rows — Preview the first rows of a dataset split from the Hugging Face Dataset Viewer.
• get_dataset_info — Get detailed metadata for a Hugging Face dataset by dataset id.
• get_dataset_statistics — Get column statistics for a dataset split from the Hugging Face Dataset Viewer.
• get_model_info — Get detailed metadata for a Hugging Face model by modelId.
• get_space_info — Get detailed metadata for a Hugging Face Space by repo id.
• get_trending — Get trending Hugging Face repositories across models, datasets, and Spaces.
• list_datasets — List Hugging Face datasets using user-friendly search filters.
• list_endpoints — List Hugging Face Inference Endpoints for a namespace.
• list_models — List Hugging Face models using user-friendly search filters.
• list_repo_files — List files in a Hugging Face repository tree.
• list_spaces — List Hugging Face Spaces using user-friendly discovery filters.

Safety#

• Untagged actions are reads (get / list / search) — safe to run directly.
• Actions tagged [write] change Hugging Face state — confirm the exact payload and effect with the user before running.
• Actions tagged [destructive] remove or overwrite data — always confirm the target and get explicit approval first.

First-time setup#

These are one-time steps — do not repeat them on every call. Run a step only when a command fails for the matching reason.

• oo: command not found — install the oo CLI (other platforms: https://cli.oomol.com/install-guide.md): bash

  curl -fsSL https://cli.oomol.com/install.sh | bash    # macOS / Linux
  
  

  powershell

  irm https://cli.oomol.com/install.ps1 | iex           # Windows PowerShell
  
  

• Not signed in / authentication error — sign in to your OOMOL account once: bash

  oo auth login
  
  

• scope_missing / credential_expired / app_not_ready / app_not_found — Hugging Face is not connected, or the connection expired or lacks a scope. Connect once (auth type: OAuth2) at: text

  https://console.oomol.com/app-connections?provider=huggingface
  
  

• HTTP 402 / OOMOL_INSUFFICIENT_CREDIT — billing stop. Recharge at https://console.oomol.com/billing/token-recharge before retrying.

Resources#

• Hugging Face homepage: https://huggingface.co