find-skills

find-skills is a skill for Claude Code, Codex from CherryHQ/cherry-studio. It costs 67 tokens per session (1,656 once invoked), scanned A, original, AGPL-3.0.

A discovery and installation guide for agent skills, which are reusable instructions for handling particular kinds of work.

In plain words
What is it for?
Use it to find a skill for a task, check whether a suitable skill exists, or install one when available.
Why use it?
It helps when you know what you want to do but do not know whether an existing skill can provide that capability.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit Use it to find a skill for a task, check whether a suitable skill exists, or install one when available.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/cherryhq/cherry-studio/find-skills
About the project

Cherry Studio is a desktop application for Windows, Mac, and Linux that brings together conversations with multiple language-model providers, local models, configurable assistants, document processing, and connected tools. It is for people who want one workspace for AI chat, productivity, and agent tasks, and the catalogue add-ons add skills, agents, instructions, and plugins for that workflow.

CherryHQ/cherry-studio · 51,563 stars · on GitHub · cherryai.com

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 CherryHQ/cherry-studio --skill find-skills
Clone the repo
git clone --depth 1 https://github.com/CherryHQ/cherry-studio

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-skills

README.md
[![agentmods](https://agentmods.dev/badge/skills/cherryhq/cherry-studio/find-skills/github.svg)](https://agentmods.dev/skills/cherryhq/cherry-studio/find-skills)
Your own site
<a href="https://agentmods.dev/skills/cherryhq/cherry-studio/find-skills"><img src="https://agentmods.dev/badge/skills/cherryhq/cherry-studio/find-skills/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-skills

Your own site · 80×15
<a href="https://agentmods.dev/skills/cherryhq/cherry-studio/find-skills"><img src="https://agentmods.dev/badge/skills/cherryhq/cherry-studio/find-skills.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 67 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,656 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. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 2 findings, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium MCP Rug Pull · line 25
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
  • medium MCP Rug Pull · line 117
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
How audits are shown
Origin unknown 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 $0.00067 $0.01656
Opus 5 $0.00034 $0.00828
Sonnet 5 $0.00013 $0.00331
Haiku 4.5 $0.00007 $0.00166

Measured 9d ago against content hash e3a779fabc98, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

find-skills 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 9d 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.

resources/skills/find-skills/SKILL.md · 160 lines

The source is not reproduced here

Licensed AGPL-3.0

The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

Read it on GitHub

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. 9d ago First seen · 160 lines · 67 tokens per session scan A e3a779fabc98

Subscribe to this mod's changes

find-skills is a skill published in the GitHub repository CherryHQ/cherry-studio (51,563 stars, last pushed today), licensed AGPL-3.0. It adds 67 tokens to every session and 1,656 once invoked, about $0.0003 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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