huggingface-tool-builder

Use this skill when the user wants to build tool/scripts or achieve a task where using data from the Hugging Face API would help. This is especially useful…

INSTALLATION
npx skills add https://github.com/huggingface/skills --skill huggingface-tool-builder
Run in your project or agent environment. Adjust flags if your CLI version differs.

SKILL.md

$27

Reference examples:

  • references/hf_model_papers_auth.sh — uses HF_TOKEN automatically and chains trending → model metadata → model card parsing with fallbacks; it demonstrates multi-step API usage plus auth hygiene for gated/private content.
  • references/find_models_by_paper.sh — optional HF_TOKEN usage via --token, consistent authenticated search, and a retry path when arXiv-prefixed searches are too narrow; it shows resilient query strategy and clear user-facing help.
  • references/hf_model_card_frontmatter.sh — uses the hf CLI to download model cards, extracts YAML frontmatter, and emits NDJSON summaries (license, pipeline tag, tags, gated prompt flag) for easy filtering.

Baseline examples (ultra-simple, minimal logic, raw JSON output with HF_TOKEN header):

  • references/baseline_hf_api.sh — bash
  • references/baseline_hf_api.py — python
  • references/baseline_hf_api.tsx — typescript executable

Composable utility (stdin → NDJSON):

  • references/hf_enrich_models.sh — reads model IDs from stdin, fetches metadata per ID, emits one JSON object per line for streaming pipelines.

Composability through piping (shell-friendly JSON output):

  • references/baseline_hf_api.sh 25 | jq -r '.[].id' | references/hf_enrich_models.sh | jq -s 'sort_by(.downloads) | reverse | .[:10]'
  • references/baseline_hf_api.sh 50 | jq '[.[] | {id, downloads}] | sort_by(.downloads) | reverse | .[:10]'
  • printf '%s\n' openai/gpt-oss-120b meta-llama/Meta-Llama-3.1-8B | references/hf_model_card_frontmatter.sh | jq -s 'map({id, license, has_extra_gated_prompt})'

High Level Endpoints

The following are the main API endpoints available at https://huggingface.co

/api/datasets

/api/models

/api/spaces

/api/collections

/api/daily_papers

/api/notifications

/api/settings

/api/whoami-v2

/api/trending

/oauth/userinfo

Accessing the API

The API is documented with the OpenAPI standard at https://huggingface.co/.well-known/openapi.json.

IMPORTANT: DO NOT ATTEMPT to read https://huggingface.co/.well-known/openapi.json directly as it is too large to process.

IMPORTANT Use jq to query and extract relevant parts. For example,

Command to Get All 160 Endpoints

curl -s "https://huggingface.co/.well-known/openapi.json" | jq '.paths | keys | sort'

Model Search Endpoint Details

curl -s "https://huggingface.co/.well-known/openapi.json" | jq '.paths["/api/models"]'

You can also query endpoints to see the shape of the data. When doing so constrain results to low numbers to make them easy to process, yet representative.

Using the HF command line tool

The hf command line tool gives you further access to Hugging Face repository content and infrastructure.

❯ hf --help

Usage: hf [OPTIONS] COMMAND [ARGS]...

  Hugging Face Hub CLI

Options:

  --help                Show this message and exit.

Commands:

  auth                 Manage authentication (login, logout, etc.).

  buckets              Commands to interact with buckets.

  cache                Manage local cache directory.

  collections          Interact with collections on the Hub.

  datasets             Interact with datasets on the Hub.

  discussions          Manage discussions and pull requests on the Hub.

  download             Download files from the Hub.

  endpoints            Manage Hugging Face Inference Endpoints.

  env                  Print information about the environment.

  extensions           Manage hf CLI extensions.

  jobs                 Run and manage Jobs on the Hub.

  models               Interact with models on the Hub.

  papers               Interact with papers on the Hub.

  repos                Manage repos on the Hub.

  skills               Manage skills for AI assistants.

  spaces               Interact with spaces on the Hub.

  sync                 Sync files between local directory and a bucket.

  upload               Upload a file or a folder to the Hub.

  upload-large-folder  Upload a large folder to the Hub.

  version              Print information about the hf version.

  webhooks             Manage webhooks on the Hub.

The hf CLI command has replaced the now deprecated huggingface-cli command.

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