cherry-studio-feedback

cherry-studio-feedback is a skill for Claude Code from CherryHQ/cherry-studio. It costs 37 tokens per session (520 once invoked), scanned A, original, AGPL-3.0.

A guide for handling Cherry Studio bug reports, interface problems, user-experience issues, and feature suggestions.

In plain words
What is it for?
Preparing reports about crashes, incorrect behaviour, confusing screens, usability problems, and requested features.
Why use it?
It helps organise feedback clearly when you want to report a problem or suggest an improvement but do not specifically need a GitHub issue.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

Part of the cherry-assistant-builtin plugin — 7 skills shipped together

Good fit Preparing reports about crashes, incorrect behaviour, confusing screens, usability problems, and requested features.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/cherryhq/cherry-studio/cherry-studio-feedback
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 · 52,766 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 cherry-studio-feedback
Clone the repo
git clone --depth 1 https://github.com/CherryHQ/cherry-studio

Made for: Claude Code.

Or install cherry-assistant-builtin, the plugin that ships this one along with the rest of its 7 skills.

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 cherry-studio-feedback

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/cherryhq/cherry-studio/cherry-studio-feedback"><img src="https://agentmods.dev/badge/skills/cherryhq/cherry-studio/cherry-studio-feedback.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 37 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 520 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 pass 7 Sept 2026
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 $0.00037 $0.00520
Opus 5.5 $0.00015 $0.00208
Sonnet 5.5 $0.00007 $0.00104
Haiku 4.5 $0.00004 $0.00052

Measured 1mo ago against content hash 3cd727335da8, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

cherry-studio-feedback 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 1mo 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/builtin-agents/cherry-assistant/.claude/skills/cherry-studio-feedback/SKILL.md · 43 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. 1mo ago First seen · 43 lines · 37 tokens per session scan A 3cd727335da8

Subscribe to this mod's changes

cherry-studio-feedback is a skill published in the GitHub repository CherryHQ/cherry-studio (52,766 stars, last pushed today), licensed AGPL-3.0. It adds 37 tokens to every session and 520 once invoked, about $0.0001 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 2026-08-30.