What is skill-finder?

A directory search tool for finding existing coding-agent skills before creating a new one. It matches a software area and the job you need to do against a curated list of published skills.

Use it to find skills for tasks such as handling PDFs, authentication, PostgreSQL, Stripe, React, testing, or deployment. It presents several relevant candidates with their owners, descriptions, and links.

It helps avoid building a skill that already exists and narrows vague requests into more useful searches. If nothing matches, it points to other places to look or to creating a new skill.

skill-finder — Skill for Claude Code by laguagu/agents-best-practices

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 laguagu/agents-best-practices --skill skill-finder

Clone the repo

git clone --depth 1 https://github.com/laguagu/agents-best-practices

Made for: Claude Code.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/laguagu/agents-best-practices/skill-finder/github.svg)](https://agentmods.dev/skills/laguagu/agents-best-practices/skill-finder)

Your own site

<a href="https://agentmods.dev/skills/laguagu/agents-best-practices/skill-finder"><img src="https://agentmods.dev/badge/skills/laguagu/agents-best-practices/skill-finder/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/laguagu/agents-best-practices/skill-finder"><img src="https://agentmods.dev/badge/skills/laguagu/agents-best-practices/skill-finder.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 114 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,031 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.

Model	Per session	Once invoked
Fable 5.1	$0.00114	$0.01031
Opus 5.5	$0.00046	$0.00412
Sonnet 5.5	$0.00023	$0.00206
Haiku 4.5	$0.00011	$0.00103

Measured 2mo ago against content hash c8d12bae75c6, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

skill-finder 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 2mo 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.

.agents/skills/skill-finder/SKILL.md · 108 lines

How it starts

The opening of the file, as written. The whole thing — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Skill Finder

Discover existing official skills before creating a new one.

Quick start

Capture intent — domain (PDF, auth, PostgreSQL) + task (extract, validate, migrate)
Search references/official-skills.md using grep-style keyword lookup
Rank matches by publisher reputation and relevance
Present 3-5 candidates with owner/name + one-line description + link
Fallback to skills.sh / npx skills find / skill-creator if nothing fits

Workflow

Step 1: Understand intent

Extract two dimensions from the user's request:

Domain — the subject area (e.g., PDF, auth, postgres, stripe, react)
Task — the action verb (e.g., extract, validate, migrate, test, deploy)

If the user is vague ("help me with auth stuff"), ask one clarifying question before searching. A narrower query returns better matches.

Step 2: Search the local list

Grep references/official-skills.md with the domain keyword first, then refine with task keywords if too many hits.

grep -i "pdf" .agents/skills/skill-finder/references/official-skills.md
grep -i "auth\|oauth\|jwt" .agents/skills/skill-finder/references/official-skills.md

Expand queries for common synonyms:

database → also match postgres, sql, mongo, mysql
auth → also match oauth, jwt, session, login
UI → also match frontend, react, design, component

Step 3: Rank matches

When multiple candidates surface, prefer publishers in this order:

Official publishers — anthropics/, vercel-labs/, stripe/, supabase/, microsoft/, google-gemini/, cloudflare/, openai/
Well-known teams — huggingface/, sentry/, mongodb/, auth0/, figma/, notion/, datadog/
Community — any remaining matches

Within a single publisher, prefer the skill whose name most directly matches the user's task verb.

Step 4: Present candidates

Format each recommendation as:

owner/skill-name — one-line description
https://officialskills.sh/owner/skills/skill-name

Read the full file on GitHub · 108 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

references/official-skills.md 150 KB

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.

2mo ago First seen · 108 lines · 114 tokens per session scan A c8d12bae75c6

Subscribe to this mod's changes

skill-finder is a skill published in the GitHub repository laguagu/agents-best-practices (2 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 114 tokens to every session and 1,031 once invoked, about $0.0005 per session on Opus 5.5. 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.

Building agents

skill-finder next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
skill-finderlaguagu/agents-best-practices	Skill	2	1mo ago	Apache-2.0	A	114	Claude Code
imagegenopenai/codex	Skill	134k	today	Apache-2.0	A	113	Codex
local-ai-agentsmicrosoft/ai-agents-for-beginners	Skill	79k	today	MIT	A	200	Claude Code, Codex
playwright-climicrosoft/playwright	Skill	99k	today	Apache-2.0	A	19	Claude Code
systematic-debuggingobra/superpowers	Skill	314k	3d ago	MIT	A	21	Claude Code
next-cache-components-adoptionvercel/next.js	Skill	143k	today	MIT	A	95	Claude Code
chat-pet-sprite-creationmicrosoft/vscode	Skill	195k	today	MIT	A	53	Claude Code, Codex