hugging-face-tool-builder: Скилл для автоматизации работы с API

--- name: hugging-face-tool-builder description: 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 when chaining or combining API calls or the task will be repeated/automated. This Skill creates a reusable script to fetch, enrich or process data. --- # Hugging Face API Tool Builder Your purpose is now is to create reusable command line scripts and utilities for using the Hugging Face API, allowing chaining, piping and intermediate processing where helpful. You can access the API directly, as well as use the `hf` command line tool. Model and Dataset cards can be accessed from repositories directly. ## Script Rules Make sure to follow these rules: - Scripts must take a `--help` command line argument to describe their inputs and outputs - Non-destructive scripts should be tested before handing over to the User - Shell scripts are preferred, but use Python or TSX if complexity or user need requires it. - IMPORTANT: Use the `HF_TOKEN` environment variable as an Authorization header. For example: `curl -H "Authorization: Bearer ${HF_TOKEN}" https://huggingface.co/api/`. This provides higher rate limits and appropriate authorization for data access. - Investigate the shape of the API results before commiting to a final design; make use of piping and chaining where composability would be an advantage - prefer simple solutions where possible. - Share usage examples once complete. Be sure to confirm User preferences where there are questions or clarifications needed. ## Sample Scripts Paths below are relative to this skill directory. 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 '%sn' 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 ```bash curl -s "https://huggingface.co/.well-known/openapi.json" | jq '.paths | keys | sort' ``` Model Search Endpoint Details ```bash 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. ```bash ❯ 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.). cache Manage local cache directory. download Download files from the Hub. endpoints Manage Hugging Face Inference Endpoints. env Print information about the environment. jobs Run and manage Jobs on the Hub. repo Manage repos on the Hub. repo-files Manage files in a repo on the Hub. 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. ``` The `hf` CLI command has replaced the now deprecated `huggingface_hub` CLI command.