find-awesome-tools

find-awesome-tools is a skill for Claude Code, Codex from bh-rat/context-awesome. It costs 195 tokens per session (1,415 once invoked), scanned A, original, MIT.

A discovery tool for finding libraries, frameworks, tools, and other resources in community-curated lists called awesome-lists.

In plain words
What is it for?
Use it to explore options in a technology category, search for a specific concept, compare candidates, or retrieve items from a known curated list.
Why use it?
It reduces the time spent searching across scattered recommendations when choosing technology for a project.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to explore options in a technology category, search for a specific concept, compare candidates, or retrieve items from a known curated list.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/bh-rat/context-awesome/find-awesome-tools
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 bh-rat/context-awesome --skill find-awesome-tools
Clone the repo
git clone --depth 1 https://github.com/bh-rat/context-awesome

Made for: Claude Code, Codex.

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 find-awesome-tools

README.md
[![agentmods](https://agentmods.dev/badge/skills/bh-rat/context-awesome/find-awesome-tools/github.svg)](https://agentmods.dev/skills/bh-rat/context-awesome/find-awesome-tools)
Your own site
<a href="https://agentmods.dev/skills/bh-rat/context-awesome/find-awesome-tools"><img src="https://agentmods.dev/badge/skills/bh-rat/context-awesome/find-awesome-tools/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 find-awesome-tools

Your own site · 80×15
<a href="https://agentmods.dev/skills/bh-rat/context-awesome/find-awesome-tools"><img src="https://agentmods.dev/badge/skills/bh-rat/context-awesome/find-awesome-tools.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 195 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,415 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 $0.00195 $0.01415
Opus 5 $0.00097 $0.00707
Sonnet 5 $0.00039 $0.00283
Haiku 4.5 $0.00019 $0.00142

Measured 10d ago against content hash 3362e2e0165e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

find-awesome-tools 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 10d 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.

skills/find-awesome-tools/SKILL.md · 146 lines

How it starts

The opening of the file, as written. The whole thing — 146 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Find Awesome Tools

Curated discovery of tools, libraries, frameworks, and resources across thousands of community-maintained awesome-lists. Reach for this skill when the user is deciding what to use in a technology space — not when they already have a specific library in hand and need its API or configuration.

When to Use This Skill

Activate this skill when the user:

  • Asks "what are good X for Y" or "recommend X"
  • Wants a comparison of options in a category
  • Explores an unfamiliar space and needs to see what exists
  • Mentions "awesome list", "curated list", or names a broad category

Do not use this skill when the user already knows the library and needs docs, configuration help, or debugging for it — that belongs to a documentation skill.

Workflow

Three tools mirror one concept: find sections, search items, fetch items from a list. Pick the path based on the user's intent.

User intent Path
"What exists in category X?" find_awesome_sectionget_awesome_items
"Find me a keyword or concept" search_awesome_items (one-shot)
"Give me everything from list Y" get_awesome_items directly (when repo/listId is known)

MCP callers invoke the tools directly. CLI callers use the matching subcommand: sections, search, items. Both transports hit the same backend.

Tools

find_awesome_section / context-awesome sections

Discovers sections (categories) matching a query across every indexed awesome-list. Call this before get_awesome_items unless you already know the githubRepo or listId.

Inputs:

  • query (required) — search terms
  • confidence (optional, default 0.3) — minimum match confidence, 0–1
  • limit (optional, default 10) — maximum sections returned

MCP:

{ "query": "graph databases", "limit": 5 }

Read the full file on GitHub · 146 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. 10d ago First seen · 146 lines · 195 tokens per session scan A 3362e2e0165e

Subscribe to this mod's changes

find-awesome-tools is a skill published in the GitHub repository bh-rat/context-awesome (59 stars, last pushed 3mo ago), licensed MIT. It adds 195 tokens to every session and 1,415 once invoked, about $0.0010 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 2026-08-30.

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