MCP Development
coollabsio/coolify
A skill your agent uses for Laravel MCP development. An agent skill from coollabsio/coolify.
Read platform-admin feedback issues through the trusted HTTP admin API, summarize user reports, and turn them into RedBox/RedConvert repair and iteration plans.
Install App Feedback Admin
$ npx skills add Jamailar/Beav --skill app-feedback-admin -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Jamailar/Beav app-feedback-admin --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/Jamailar/Beav.git skills-src && mkdir -p .claude/skills && cp -r skills-src/desktop/skills/app-feedback-admin .claude/skills/app-feedback-admin && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "app-feedback-admin" agent skill from https://github.com/Jamailar/Beav/tree/main/desktop/skills/app-feedback-admin into .claude/skills/app-feedback-admin/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "app-feedback-admin", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/Jamailar/Beav/tree/main/desktop/skills/app-feedback-adminType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add Jamailar/Beav --skill app-feedback-admin -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Jamailar/Beav app-feedback-admin --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Jamailar/Beav.git skills-src && mkdir -p .agents/skills && cp -r skills-src/desktop/skills/app-feedback-admin .agents/skills/app-feedback-admin && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "app-feedback-admin" agent skill from https://github.com/Jamailar/Beav/tree/main/desktop/skills/app-feedback-admin into .agents/skills/app-feedback-admin/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "app-feedback-admin", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Jamailar/Beav --skill app-feedback-admin -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Jamailar/Beav app-feedback-admin --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Jamailar/Beav.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/desktop/skills/app-feedback-admin .cursor/skills/app-feedback-admin && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "app-feedback-admin" agent skill from https://github.com/Jamailar/Beav/tree/main/desktop/skills/app-feedback-admin into .cursor/skills/app-feedback-admin/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "app-feedback-admin", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/Jamailar/Beav.git --path desktop/skills/app-feedback-admin--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add Jamailar/Beav --skill app-feedback-admin -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Jamailar/Beav app-feedback-admin --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Jamailar/Beav.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/desktop/skills/app-feedback-admin .gemini/skills/app-feedback-admin && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "app-feedback-admin" agent skill from https://github.com/Jamailar/Beav/tree/main/desktop/skills/app-feedback-admin into .gemini/skills/app-feedback-admin/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "app-feedback-admin", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install Jamailar/Beav app-feedback-adminInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add Jamailar/Beav --skill app-feedback-admin -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Jamailar/Beav.git skills-src && mkdir -p .github/skills && cp -r skills-src/desktop/skills/app-feedback-admin .github/skills/app-feedback-admin && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "app-feedback-admin" agent skill from https://github.com/Jamailar/Beav/tree/main/desktop/skills/app-feedback-admin into .github/skills/app-feedback-admin/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "app-feedback-admin", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Jamailar/Beav --skill app-feedback-admin -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Jamailar/Beav app-feedback-admin --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Jamailar/Beav.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/desktop/skills/app-feedback-admin .opencode/skills/app-feedback-admin && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "app-feedback-admin" agent skill from https://github.com/Jamailar/Beav/tree/main/desktop/skills/app-feedback-admin into .opencode/skills/app-feedback-admin/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "app-feedback-admin", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
app-feedback-admin- GitHub stars
- 1.8k
- Token cost
- ~1.1k tokens
- SKILL.md length
- 389 words
- Files
- 3 (incl. scripts)
- Skills in repo
- 11
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Read platform-admin feedback issues through the trusted HTTP admin API, summarize user reports, and turn them into RedBox/RedConvert repair and iteration plans.
- Works in 6 steps: Load the local env file without printing… → Fetch the newest feedback list → For tickets that look actionable, fetch… → …
- The user asks to read app feedback
- SKILL.md covers Hard Boundaries, Local Environment, Read Workflow and Output Shape, plus 1 more section
- Runs Python scripts from its folder; calls python3; needs FEEDBACK_ADMIN_API_KEY
What it does
App Feedback Admin is an agent skill from Jamailar/Beav. Read platform-admin feedback issues through the trusted HTTP admin API, summarize user reports, and turn them into RedBox/RedConvert repair and iteration plans. Use when the user asks to read app feedback, triage feedback tickets, inspect remote feedback context, or prepare fix/iteration plans from feedback. This skill must keep FEEDBACKADMINAPIKEY server-side/local only and must not place it in app UI, frontend code, desktop client code, logs, commits, or shared artifacts.
Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including scripts (for example `agents/openai.yaml` and `scripts/fetch_feedback.py`).
It sits in Frontend & Design, covering Backend development. It works with Tauri and Xiaohongshu. The repository describes itself as: 小红书 AI 运营工作台｜小红书采集、评论区下载、素材库、选题、AI写作、小红书全域解决方案，开箱即用，一键安装，小红书AI工作台，自媒体素材库，AI写作+图片自动编排，小红书版OpenClaw、自媒体资产底座+AI工作台，支持小红书图文+小红书评论区下载、小红书AI创作工具、自媒体版WorkBuddy、抖音、小红书爬虫数据采集.
When your agent uses it
- The user asks to read app feedback
- Triage feedback tickets
- Inspect remote feedback context
- Prepare fix/iteration plans from feedback
Example prompts
- “/app-feedback-admin”
Requirements
- Python 3
- A credential in FEEDBACK_ADMIN_API_KEY
- Pre-approved tools (allowed-tools): bash, redbox_fs
Workflow steps
6 steps, taken from the first numbered list in SKILL.md.
- Load the local env file without printing secrets.
- Fetch the newest feedback list
- For tickets that look actionable, fetch details
- Classify each ticket into one of
- Map actionable items to RedBox modules
- Produce a concrete plan, not loose advice. Include ticket ids, severity, evidence, suspected module, implementation target files…
What it can do on your machine
Read from SKILL.md and the folder at commit f35befd. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
bashredbox_fs
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
FEEDBACK_ADMIN_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
App Feedback Admin loads about 1.1k tokens when it runs. Until then it costs about 125 tokens; SKILL.md has 389 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
SKILL.md
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 389 words (~1,075 tokens).
“Use this skill to read remote feedback tickets and convert them into concrete RedBox/RedConvert repair and iteration work.”
- name
- app-feedback-admin
- allowed-tools
- bash, redbox_fs
Files
SKILL.md and 2 other files (scripts) in desktop/skills/app-feedback-admin of Jamailar/Beav.
- SKILL.md
- agents/openai.yaml
- scripts/fetch_feedback.py
Open the folder on GitHubat commit f35befd
Compare with similar skills
App Feedback Admin next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| App Feedback Admin this skillJamailar/Beav | 1.8k | — | ~1.1k | Automated safety check: Pass | Custom licence | |
| MCP Developmentcoollabsio/coolify | 63k | 1 repos | ~949 | Automated safety check: Pass | MIT | |
| Turnstile Spincloudflare/skills | 3k | 4 repos | ~7.2k | Automated safety check: Notes | Apache-2.0 | |
| Vue Component Developmentgdarko/laravel-vue-starter | 145 | — | ~1.1k | Automated safety check: Pass | MIT | |
| Implementing Navigationancoleman/ai-design-components | 526 | — | ~1.8k | Automated safety check: Pass | MIT | |
| Web Coderboshi-xixixi/TraeSkill | 275 | 1 repos | ~5.2k | Automated safety check: Pass | MIT |
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Categories
Questions about App Feedback Admin
What does App Feedback Admin do?
Read platform-admin feedback issues through the trusted HTTP admin API, summarize user reports, and turn them into RedBox/RedConvert repair and iteration plans. App Feedback Admin is an agent skill from Jamailar/Beav. Read platform-admin feedback issues through the trusted HTTP admin API, summarize user reports, and turn them into RedBox/RedConvert repair and iteration plans.
When should I use App Feedback Admin?
App Feedback Admin fits situations like: the user asks to read app feedback; triage feedback tickets; inspect remote feedback context; prepare fix/iteration plans from feedback.
How do I install App Feedback Admin in Claude Code?
Run `npx skills add Jamailar/Beav --skill app-feedback-admin -a claude-code`. Or copy the skill folder (desktop/skills/app-feedback-admin in Jamailar/Beav) into .claude/skills/app-feedback-admin in your project. Claude Code loads it when a task matches its description.
How do I install App Feedback Admin in Codex?
Run `npx skills add Jamailar/Beav --skill app-feedback-admin -a codex`. Or copy the skill folder (desktop/skills/app-feedback-admin in Jamailar/Beav) into .agents/skills/app-feedback-admin in your project. Codex loads it when a task matches its description.
Can I use App Feedback Admin in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Jamailar/Beav --skill app-feedback-admin -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/app-feedback-admin, .gemini/skills/app-feedback-admin, .github/skills/app-feedback-admin and .opencode/skills/app-feedback-admin in your project.
What does App Feedback Admin need to run?
Going by SKILL.md and its folder, App Feedback Admin needs Python for the scripts in its folder, the command-line tools its instructions call (python3) and credentials named FEEDBACK_ADMIN_API_KEY. Our summary lists: Python 3; A credential in FEEDBACK_ADMIN_API_KEY. Its frontmatter pre-approves these tools: bash, redbox_fs.
Does App Feedback Admin access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is App Feedback Admin safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does App Feedback Admin use?
App Feedback Admin has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does App Feedback Admin use?
About 1.1k tokens (SKILL.md is roughly 4.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to App Feedback Admin?
Skills that share tags, products or a category with App Feedback Admin: MCP Development (coollabsio/coolify, 63k stars), Turnstile Spin (cloudflare/skills, 3k stars), Vue Component Development (gdarko/laravel-vue-starter, 145 stars) and Implementing Navigation (ancoleman/ai-design-components, 526 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains App Feedback Admin?
Jamailar (a GitHub user) maintains it in Jamailar/Beav, which has 1,823 GitHub stars. The repository holds 11 skills in this directory. The repository was last updated on October 8, 2026.
Source: Jamailar/Beav on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.