fabric-resource-discovery

fabric-resource-discovery is a skill for Claude Code from fabric-testbed/claude-plugin-marketplace. It costs 22 tokens per session (1,786 once invoked), scanned A, original, Apache-2.0.

A guide for querying FABRIC, a research testbed with computing sites and hardware, to see available locations, machines, images, and components.

In plain words
What is it for?
Use it to list sites and hosts, inspect capacity and images, find component types, or choose a suitable random site.
Why use it?
It helps determine which resources are available before creating an experiment.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Part of the fablib plugin — 18 skills, 1 command shipped together

Good fit Use it to list sites and hosts, inspect capacity and images, find component types, or choose a suitable random site.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/fabric-testbed/claude-plugin-marketplace/fabric-resource-discovery
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.

Any agent
npx skills add fabric-testbed/claude-plugin-marketplace --skill fabric-resource-discovery
Clone the repo
git clone --depth 1 https://github.com/fabric-testbed/claude-plugin-marketplace

Made for: Claude Code.

Or install fablib, the plugin that ships this one along with the rest of its 18 skills, 1 command.

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 fabric-resource-discovery

README.md
[![agentmods](https://agentmods.dev/badge/skills/fabric-testbed/claude-plugin-marketplace/fabric-resource-discovery/github.svg)](https://agentmods.dev/skills/fabric-testbed/claude-plugin-marketplace/fabric-resource-discovery)
Your own site
<a href="https://agentmods.dev/skills/fabric-testbed/claude-plugin-marketplace/fabric-resource-discovery"><img src="https://agentmods.dev/badge/skills/fabric-testbed/claude-plugin-marketplace/fabric-resource-discovery/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for fabric-resource-discovery

Your own site · 80×15
<a href="https://agentmods.dev/skills/fabric-testbed/claude-plugin-marketplace/fabric-resource-discovery"><img src="https://agentmods.dev/badge/skills/fabric-testbed/claude-plugin-marketplace/fabric-resource-discovery.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 22 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,786 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. 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 $0.00022 $0.01786
Opus 5 $0.00011 $0.00893
Sonnet 5 $0.00004 $0.00357
Haiku 4.5 $0.00002 $0.00179

Measured 12d ago against content hash c7d7d86dd6f2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

fabric-resource-discovery scanned grade A with 0 findings 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 12d ago.

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.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugins/fablib/skills/fabric-resource-discovery/SKILL.md · 259 lines

How it starts

The opening of the file, as written. The whole thing — 259 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Instructions

When the user asks about FABRIC sites, resources, available hardware, images, or capacity, generate code to discover and query testbed resources. This skill is also auto-invoked when context suggests the user needs resource information.

Always assume FABlib is already initialized as fablib. If unsure, prepend initialization code.

API Reference

Site Discovery

# List all sites with details
fablib.list_sites(
    output=None,       # "text", "pandas", "json", "list" (default: pandas in notebook)
    fields=None,       # List of field names to display
    quiet=False,       # Suppress printed output
    filter_function=None,  # Lambda to filter sites
    pretty_names=True,     # Use human-readable field names
    start=None,        # datetime: future availability window start
    end=None,          # datetime: future availability window end
)

# List hosts at sites
fablib.list_hosts(
    output=None,
    fields=None,
    quiet=False,
    filter_function=None,
)

# Get a random site (useful for testing)
fablib.get_random_site(
    avoid=None,           # List of site names to avoid
    filter_function=None, # Lambda to filter eligible sites
    update=True,          # Refresh resource data
) -> str

# Get multiple random sites
fablib.get_random_sites(
    count=1,
    avoid=None,
    filter_function=None,
    update=True,
) -> list[str]

Image Discovery

# Get available OS images
fablib.get_image_names() -> dict[str, dict]
# Returns: {"image_name": {"default_user": "...", "description": "..."}, ...}

Common Images

  • default_ubuntu_24 — Ubuntu 24.04 (default if not specified)
  • default_ubuntu_22 — Ubuntu 22.04
  • default_ubuntu_20 — Ubuntu 20.04
  • default_centos_9_stream — CentOS 9 Stream
  • default_centos_8 — CentOS 8
  • default_rocky_9 — Rocky Linux 9
  • default_rocky_8 — Rocky Linux 8
  • default_debian_12 — Debian 12
  • default_fedora_41 — Fedora 41

Component Model Constants

Use these string values with node.add_component(model=...):

Read the full file on GitHub · 259 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. 12d ago First seen · 259 lines · 22 tokens per session scan A c7d7d86dd6f2

Subscribe to this mod's changes

fabric-resource-discovery is a skill published in the GitHub repository fabric-testbed/claude-plugin-marketplace (2 stars, last pushed 6mo ago), licensed Apache-2.0. It adds 22 tokens to every session and 1,786 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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