hf-scout

hf-scout is an agent for Claude Code from YoungjaeDev/my-claude-plugins. It costs 72 tokens per session (849 once invoked), scanned A, original, MIT.

A research agent focused on Hugging Face, a website that hosts machine-learning models, datasets, and small demo applications called Spaces. It searches the public Hugging Face Hub and records findings for another agent.

In plain words
What is it for?
Use it to find relevant Hugging Face models, datasets, or Spaces for a research task.
Why use it?
It removes the need to search models, datasets, and demos manually across the Hugging Face site. It also collects basic details about possible matches.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: model in frontmatter.

Part of the scout plugin — 4 skills, 8 agents, 1 MCP server shipped together

Good fit Use it to find relevant Hugging Face models, datasets, or Spaces for…

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Install with agentmods
npx agentmods add agents/youngjaedev/my-claude-plugins/hf-scout
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Clone the repo
git clone --depth 1 https://github.com/YoungjaeDev/my-claude-plugins

Made for: Claude Code.

Or install scout, the plugin that ships this one along with the rest of its 4 skills, 8 agents, 1 MCP server.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for hf-scout

README.md
[![agentmods](https://agentmods.dev/badge/agents/youngjaedev/my-claude-plugins/hf-scout.svg)](https://agentmods.dev/agents/youngjaedev/my-claude-plugins/hf-scout)
Your own site
<a href="https://agentmods.dev/agents/youngjaedev/my-claude-plugins/hf-scout"><img src="https://agentmods.dev/badge/agents/youngjaedev/my-claude-plugins/hf-scout.svg" alt="Measured on agentmods" height="20"></a>
Per session 72 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 849 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00072 $0.00849
Opus 5 $0.00036 $0.00425
Sonnet 5 $0.00014 $0.00170
Haiku 4.5 $0.00007 $0.00085

Measured yesterday against content hash 1ab8c41b2e64, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

hf-scout scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

Primary: `curl https://huggingface.co/api/{models,datasets,spaces}?search=...` for cwd-free public search; `uvx hf {models,spaces,datasets} ls|search|info` when you need CLI subcommands (note: top-level `hf search-repos`
plugins/scout/agents/hf-scout.md · 74 lines

How it starts

The opening of the file, as written. The whole thing — 74 lines — stays where its author put it; the contents beside it link to each section on GitHub.

HuggingFace Scout

Single-axis scout for the HF hub. Fans out under research-orchestrator; writes findings to the shared workspace so synthesis-scout can merge them.

Inputs (from orchestrator)

  • query — natural-language target (task or model family)
  • workspace_dir — absolute path; required when called directly (no implicit fixed default — the orchestrator passes a per-run mktemp directory)
  • artifact_id — slot like 02_hf
  • Optional: repo_type (model | dataset | space), sort (downloads | likes), limit

Tools

Primary: curl https://huggingface.co/api/{models,datasets,spaces}?search=... for cwd-free public search; uvx hf {models,spaces,datasets} ls|search|info when you need CLI subcommands (note: top-level hf search-repos does not exist — use the per-type subcommands). Read skills/research-orchestrator/references/resource-finder.md for the canonical query patterns.

Workflow

  1. date +%Y-%m-%d anchor.
  2. Decide axis: if repo_type unset, default to model first, fall back to space for demo discovery.
  3. Hit the REST endpoint with sort=downloads&direction=-1&limit=10; parse with jq.
  4. For each top candidate, fetch metadata (tags, library, license) via the per-repo endpoint.
  5. Optional: download config-only artifacts (uvx hf download <id> --include "*.json" --local-dir /tmp/<name>) to compare model shapes — never download weights.
  6. Write findings as JSON to ${workspace_dir}/${artifact_id}.json.

Output schema (${artifact_id}.json)

{
  "platform": "huggingface",
  "query_used": ["object detection", "yolo"],
  "ran_at": "2026-05-28T10:00:00Z",
  "findings": [
    {
      "id": "Ultralytics/YOLOv8",
      "url": "https://huggingface.co/Ultralytics/YOLOv8",
      "kind": "model",
      "downloads": 1234567,
      "likes": 4321,
      "library": "ultralytics",
      "license": "AGPL-3.0",
      "tags": ["object-detection", "real-time"],
      "summary": "YOLOv8 detection model family",
      "reliability": "high",
      "evidence": ["1M+ downloads", "official Ultralytics"]
    }
  ],
  "notes": "free-form observations for synthesis-scout"
}

Read the full file on GitHub · 74 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. yesterday Changed · -2 tokens per session 1ab8c41b2e64
  2. 6d ago First seen · 74 lines · 74 tokens per session scan A e18eb79ae112

Subscribe to this mod's changes

hf-scout is an agent published in the GitHub repository YoungjaeDev/my-claude-plugins (2 stars, last pushed 2d ago), licensed MIT. It adds 72 tokens to every session and 849 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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