Parallels macOS VM Lab
steipete/agent-scripts
Uses a clean Parallels macOS VM to test GUI automation, TCC permission prompts and screenshot tools like Peekaboo, verifying results from outside the guest.
Extends a project's acceptance process to real chat bot channels: Discord, Slack, Telegram, WeChat, Lark, QQ, and iMessage on macOS.
Install Bot Channel Acceptance Testing
$ npx skills add lobehub/lobehub --skill agent-testing-bot -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install lobehub/lobehub agent-testing-bot --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/lobehub/lobehub.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/agent-testing-bot .claude/skills/agent-testing-bot && 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 "agent-testing-bot" agent skill from https://github.com/lobehub/lobehub/tree/canary/.agents/skills/agent-testing-bot into .claude/skills/agent-testing-bot/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-testing-bot", 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/lobehub/lobehub/tree/canary/.agents/skills/agent-testing-botType 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 lobehub/lobehub --skill agent-testing-bot -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install lobehub/lobehub agent-testing-bot --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lobehub/lobehub.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/agent-testing-bot .agents/skills/agent-testing-bot && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "agent-testing-bot" agent skill from https://github.com/lobehub/lobehub/tree/canary/.agents/skills/agent-testing-bot into .agents/skills/agent-testing-bot/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-testing-bot", 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 lobehub/lobehub --skill agent-testing-bot -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install lobehub/lobehub agent-testing-bot --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lobehub/lobehub.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/agent-testing-bot .cursor/skills/agent-testing-bot && 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 "agent-testing-bot" agent skill from https://github.com/lobehub/lobehub/tree/canary/.agents/skills/agent-testing-bot into .cursor/skills/agent-testing-bot/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-testing-bot", 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/lobehub/lobehub.git --path .agents/skills/agent-testing-bot--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 lobehub/lobehub --skill agent-testing-bot -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install lobehub/lobehub agent-testing-bot --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lobehub/lobehub.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/agent-testing-bot .gemini/skills/agent-testing-bot && 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 "agent-testing-bot" agent skill from https://github.com/lobehub/lobehub/tree/canary/.agents/skills/agent-testing-bot into .gemini/skills/agent-testing-bot/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-testing-bot", 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 lobehub/lobehub agent-testing-botInstalls 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 lobehub/lobehub --skill agent-testing-bot -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/lobehub/lobehub.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/agent-testing-bot .github/skills/agent-testing-bot && 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 "agent-testing-bot" agent skill from https://github.com/lobehub/lobehub/tree/canary/.agents/skills/agent-testing-bot into .github/skills/agent-testing-bot/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-testing-bot", 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 lobehub/lobehub --skill agent-testing-bot -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install lobehub/lobehub agent-testing-bot --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lobehub/lobehub.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/agent-testing-bot .opencode/skills/agent-testing-bot && 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 "agent-testing-bot" agent skill from https://github.com/lobehub/lobehub/tree/canary/.agents/skills/agent-testing-bot into .opencode/skills/agent-testing-bot/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-testing-bot", 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
agent-testing-bot- GitHub stars
- 83k
- Token cost
- ~1k tokens
- SKILL.md length
- 377 words
- Files
- 17
- Skills in repo
- 50
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Extends a project's acceptance process to real chat bot channels: Discord, Slack, Telegram, WeChat, Lark, QQ, and iMessage on macOS.
- Verifying a bot responds correctly in Discord, Slack, or Telegram
- SKILL.md covers When this surface applies, Platforms, Shared driver contract and osascript prerequisites, plus 1 more section
- Runs Shell scripts from its folder; calls bash
- Testing a WeChat or Lark bot integration end-to-end
What it does
This skill adds bot-channel coverage on top of a generic acceptance-testing skill it depends on, keeping that skill's plan, execute, and finish phases and its report-and-publish pipeline intact. It only takes over when the behavior under test is a bot channel; CLI, web, or Electron changes stay with the generic skill's own surfaces.
Each supported platform gets its own folder with a guide covering activation, navigation, message sending, and verification, plus a shared driver script that every platform calls the same way: a channel or contact, a message, an optional wait time, and an optional screenshot path.
When your agent uses it
- Verifying a bot responds correctly in Discord, Slack, or Telegram
- Testing a WeChat or Lark bot integration end-to-end
- Confirming an iMessage bridge delivers and receives messages correctly
Example prompts
- “Run the Discord bot acceptance test for the new status command.”
- “Test that the Lark bot replies correctly to a direct message.”
- “Verify the iMessage bridge sends and receives test messages.”
Requirements
- macOS for the osascript-driven platform scripts
- A configured dev server and seeded account from the project's acceptance adapter
What it can do on your machine
Read from SKILL.md and the folder at commit 1863542. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships script files (Shell, from the files we listed), which the agent can run.
Shell commands in SKILL.md call:
bash
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 no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Bot Channel Acceptance Testing loads about 1k tokens when it runs. Until then it costs about 44 tokens; SKILL.md has 377 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); files beside SKILL.md 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 377 words (~1,049 tokens).
“This skill extends the generic acceptance skill (installed alongside at ../acceptance/) to the bot-channel surfaces. It does NOT replace the core process: the same three phases apply —”
- name
- agent-testing-bot
Files
SKILL.md and 16 other files in .agents/skills/agent-testing-bot of lobehub/lobehub.
- SKILL.md
- discord/index.md
- discord/test-discord-bot.sh
- imessage/index.md
- imessage/send-imessage-test.sh
- imessage/test-imessage-bridge.sh
- lark/index.md
- lark/test-lark-bot.sh
- qq/index.md
- qq/test-qq-bot.sh
- slack/index.md
- slack/test-slack-bot.sh
- telegram/index.md
- telegram/test-telegram-bot.sh
- … and 2 more
Open the folder on GitHubat commit 1863542
Compare with similar skills
Bot Channel Acceptance Testing 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 |
|---|---|---|---|---|---|---|
| Bot Channel Acceptance Testing this skilllobehub/lobehub | 83k | — | ~1k | Automated safety check: Pass | Custom licence | |
| Parallels macOS VM Labsteipete/agent-scripts | 7.3k | — | ~1.8k | Automated safety check: Pass | MIT | |
| Stevemikker/steve | 170 | — | ~421 | Automated safety check: Pass | None | |
| Termio Bug Reporttermio-sh/termio | 540 | — | ~1.9k | Automated safety check: Pass | MIT | |
| E2E Session Testst0012/cctop | 154 | — | ~727 | Automated safety check: Pass | MIT | |
| cmux Screenshot and Recordingmanaflow-ai/cmux | 28k | — | ~992 | Automated safety check: Pass | Custom licence |
Similar skills
Steve
mikker/steve
Use the steve CLI to automate macOS apps via Accessibility APIs.
Termio Bug Report
termio-sh/termio
Diagnose a termio hang, beachball, crash, or 'it froze again' from the evidence macOS and termio actually leave behind — live process samples, crash and CPU-burn reports, the unified log, the…
E2E Session Test
st0012/cctop
A skill your agent uses when smoke-testing cctop end to end — verifying a real coding-agent session is tracked and shows in the panel.
cmux Screenshot and Recording
manaflow-ai/cmux
Captures PNG or JPEG screenshots and MP4 or GIF clips of cmux windows from the command line, as visual evidence for pull requests and bug reports.
Bangle Desktop Release
bangle-io/bangle-io
Build, test, package, and release the Bangle.io Electron desktop app.
More from lobehub/lobehub
All 50 skills in this repoLobeHub Interactive Prototype
lobehub/lobehub
Builds single-file interactive HTML prototypes rendered with the real LobeHub UI components and written as production-style React, so they can later be split into files.
Acceptance Evidence for Deliveries
lobehub/lobehub
Verifies a delivery end to end by driving the real product on a CLI, web, desktop or iOS Simulator surface, capturing evidence and publishing a round with the lh CLI.
Git Worktree Cleanup
lobehub/lobehub
Audits stale Git worktrees and branches with a bundled script, classifies each one, and deletes only after you approve the exact candidates.
LobeHub Alint Rule Set Maintenance
lobehub/lobehub
Maintains LobeHub's model-backed alint rule set: writing rules, removing false positives against real code, deciding warn versus error and tracking token cost.
LobeHub Builtin Tool Authoring
lobehub/lobehub
Guides building LobeHub builtin agent tools, from the manifest and execution runtime to executors, chat UI renders and registry wiring.
LobeHub Data Fetching Layers
lobehub/lobehub
Explains how LobeHub client code fetches data through services, SWR store hooks and cache keys, and when to avoid useEffect fetching or duplicated state.
Related
Works with
Categories
Questions about Bot Channel Acceptance Testing
What does Bot Channel Acceptance Testing do?
Extends a project's acceptance process to real chat bot channels: Discord, Slack, Telegram, WeChat, Lark, QQ, and iMessage on macOS. This skill adds bot-channel coverage on top of a generic acceptance-testing skill it depends on, keeping that skill's plan, execute, and finish phases and its report-and-publish pipeline intact. It only takes over when the behavior under test is a bot channel; CLI, web, or Electron changes stay with the generic skill's own surfaces.
When should I use Bot Channel Acceptance Testing?
Bot Channel Acceptance Testing fits situations like: verifying a bot responds correctly in Discord, Slack, or Telegram; testing a WeChat or Lark bot integration end-to-end; confirming an iMessage bridge delivers and receives messages correctly.
How do I install Bot Channel Acceptance Testing in Claude Code?
Run `npx skills add lobehub/lobehub --skill agent-testing-bot -a claude-code`. Or copy the skill folder (.agents/skills/agent-testing-bot in lobehub/lobehub) into .claude/skills/agent-testing-bot in your project. Claude Code loads it when a task matches its description.
How do I install Bot Channel Acceptance Testing in Codex?
Run `npx skills add lobehub/lobehub --skill agent-testing-bot -a codex`. Or copy the skill folder (.agents/skills/agent-testing-bot in lobehub/lobehub) into .agents/skills/agent-testing-bot in your project. Codex loads it when a task matches its description.
Can I use Bot Channel Acceptance Testing 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 lobehub/lobehub --skill agent-testing-bot -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/agent-testing-bot, .gemini/skills/agent-testing-bot, .github/skills/agent-testing-bot and .opencode/skills/agent-testing-bot in your project.
What does Bot Channel Acceptance Testing need to run?
Going by SKILL.md and its folder, Bot Channel Acceptance Testing needs a shell for the scripts in its folder and the command-line tools its instructions call (bash). Our summary lists: macOS for the osascript-driven platform scripts; A configured dev server and seeded account from the project's acceptance adapter.
Does Bot Channel Acceptance Testing 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 Bot Channel Acceptance Testing 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. Review the folder before installing.
What licence does Bot Channel Acceptance Testing use?
Bot Channel Acceptance Testing 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 Bot Channel Acceptance Testing use?
About 1k tokens (SKILL.md is roughly 4.2k 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 Bot Channel Acceptance Testing?
Skills that share tags, products or a category with Bot Channel Acceptance Testing: Parallels macOS VM Lab (steipete/agent-scripts, 7.3k stars), Steve (mikker/steve, 170 stars), Termio Bug Report (termio-sh/termio, 540 stars) and E2E Session Test (st0012/cctop, 154 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Bot Channel Acceptance Testing?
lobehub (a GitHub organization) maintains it in lobehub/lobehub, which has 83,023 GitHub stars. The repository holds 50 skills in this directory. The repository was last updated on October 7, 2026.
Source: lobehub/lobehub on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.