Node Inspect Debugger
openclaw/openclaw
Debug Node.js with node inspect, --inspect, breakpoints, CDP, heap, and CPU profiles.
Monitor a Tesla vehicle, inspect live state, and run explicit Tessie command endpoints.
No licenceAuto-check passed
Install Tessie
$ npx skills add win4r/MuseAI-Skills --skill tessie -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install win4r/MuseAI-Skills tessie --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/win4r/MuseAI-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/opt/hatch/skills/tessie .claude/skills/tessie && 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 "tessie" agent skill from https://github.com/win4r/MuseAI-Skills/tree/main/opt/hatch/skills/tessie into .claude/skills/tessie/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tessie", 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/win4r/MuseAI-Skills/tree/main/opt/hatch/skills/tessieType 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 win4r/MuseAI-Skills --skill tessie -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install win4r/MuseAI-Skills tessie --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/win4r/MuseAI-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/opt/hatch/skills/tessie .agents/skills/tessie && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "tessie" agent skill from https://github.com/win4r/MuseAI-Skills/tree/main/opt/hatch/skills/tessie into .agents/skills/tessie/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tessie", 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 win4r/MuseAI-Skills --skill tessie -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install win4r/MuseAI-Skills tessie --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/win4r/MuseAI-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/opt/hatch/skills/tessie .cursor/skills/tessie && 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 "tessie" agent skill from https://github.com/win4r/MuseAI-Skills/tree/main/opt/hatch/skills/tessie into .cursor/skills/tessie/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tessie", 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/win4r/MuseAI-Skills.git --path opt/hatch/skills/tessie--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 win4r/MuseAI-Skills --skill tessie -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install win4r/MuseAI-Skills tessie --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/win4r/MuseAI-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/opt/hatch/skills/tessie .gemini/skills/tessie && 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 "tessie" agent skill from https://github.com/win4r/MuseAI-Skills/tree/main/opt/hatch/skills/tessie into .gemini/skills/tessie/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tessie", 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 win4r/MuseAI-Skills tessieInstalls 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 win4r/MuseAI-Skills --skill tessie -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/win4r/MuseAI-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/opt/hatch/skills/tessie .github/skills/tessie && 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 "tessie" agent skill from https://github.com/win4r/MuseAI-Skills/tree/main/opt/hatch/skills/tessie into .github/skills/tessie/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tessie", 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 win4r/MuseAI-Skills --skill tessie -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install win4r/MuseAI-Skills tessie --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/win4r/MuseAI-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/opt/hatch/skills/tessie .opencode/skills/tessie && 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 "tessie" agent skill from https://github.com/win4r/MuseAI-Skills/tree/main/opt/hatch/skills/tessie into .opencode/skills/tessie/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tessie", 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
tessie- GitHub stars
- 343
- Used in
- 1 other repo
- Token cost
- ~738 tokens
- SKILL.md length
- 360 words
- Files
- 2
- Skills in repo
- 25
- Repo updated
- First seen
- Licence
- None found
At a glance
Monitor a Tesla vehicle, inspect live state, and run explicit Tessie command endpoints.
- Works in 7 steps: If VIN is not given, call vehicles and… → Use status or state before impactful… → honk, flash, remote_boombox,… → …
- SKILL.md covers Purpose, Tooling, Auth and Operating Rules
- Reaches dash.tessie.com; needs TESSIE_API_TOKEN
What it does
Tessie is an agent skill from win4r/MuseAI-Skills. Monitor a Tesla vehicle, inspect live state, and run explicit Tessie command endpoints.
Its SKILL.md is about 740 tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `manifest.yaml`).
The repository describes itself as: muse.ai (Muse AI) skills and runtime snapshot: 68 skills, workflow guides, connector manifests. muse.ai 技能与运行环境文件；非官方存档 / Unofficial archive.
Example prompts
- “/tessie”
Requirements
- A credential in TESSIE_API_TOKEN
Workflow steps
7 steps, taken from the first numbered list in SKILL.md.
- If VIN is not given, call vehicles and ask user to pick one when multiple exist.
- Use status or state before impactful commands when the current vehicle condition matters.
- honk, flash, remote_boombox, software-update scheduling or cancellation, and fleet telemetry configuration may proceed from a clear…
- Use command --command only for explicit Tessie command names. Do not invent a mandatory pre-wake flow or undocumented helper behavior.
- On HTTP or API errors, report status and body clearly. Common cases are 401, 408, and 503.
- Never print token values.
- Read results preserve Tessie's raw timestamps and add semantic UTC and
What it can do on your machine
Read from SKILL.md and the folder at commit 38bbb45. 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
No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
dash.tessie.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
TESSIE_API_TOKEN
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Tessie loads about 738 tokens when it runs. Until then it costs about 24 tokens; SKILL.md has 360 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
Without a licence we can't republish the file, so here is its outline and opening line. It has 360 words (~738 tokens).
“Use tessie-api to list vehicles, inspect status/state, and run explicit Tessie vehicle commands.”
- name
- tessie
- icon
- tessie
- metadata.includeInPrompt
- false
Files
SKILL.md and 1 other file in opt/hatch/skills/tessie of win4r/MuseAI-Skills.
- SKILL.md
- manifest.yaml
Open the folder on GitHubat commit 38bbb45
Used in 1 other repository
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in win4r/MuseAI-Skills, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Tessie 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 |
|---|---|---|---|---|---|---|
| Tessie this skillwin4r/MuseAI-Skills | 343 | 1 repos | ~738 | Automated safety check: Pass | None | |
| Node Inspect Debuggeropenclaw/openclaw | 392k | 1 repos | ~894 | Automated safety check: Pass | MIT | |
| Qdrant Monitoringgithub/awesome-copilot | 40k | 1 repos | ~276 | Automated safety check: Pass | MIT | |
| Monitoring Capture ServicePostHog/posthog | 40k | — | ~5k | Automated safety check: Pass | Custom licence | |
| Monitoring Ingestion PipelinePostHog/posthog | 40k | — | ~9.1k | Automated safety check: Pass | Custom licence | |
| Agent Performance Monitorruvnet/ruflo | 74k | 2 repos | ~4.9k | Automated safety check: Pass | MIT |
Similar skills
- Official
Qdrant Monitoring
github/awesome-copilot
Guides Qdrant monitoring and observability setup. An agent skill from github/awesome-copilot.
- Official
Monitoring Capture Service
PostHog/posthog
Guide for using the Grafana MCP to monitor and diagnose the capture service (rust/capture) in production.
- Official
Monitoring Ingestion Pipeline
PostHog/posthog
Guide for using the Grafana MCP to monitor and diagnose the Node.js ingestion pipeline workers in production.
Agent Performance Monitor
ruvnet/ruflo
Agent skill for performance-monitor - invoke with $agent-performance-monitor
Monitor Stream
ruvnet/ruflo
Stream live swarm events using the Monitor tool for real-time observability
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Questions about Tessie
What does Tessie do?
Monitor a Tesla vehicle, inspect live state, and run explicit Tessie command endpoints. Tessie is an agent skill from win4r/MuseAI-Skills. Monitor a Tesla vehicle, inspect live state, and run explicit Tessie command endpoints.
How do I install Tessie in Claude Code?
Run `npx skills add win4r/MuseAI-Skills --skill tessie -a claude-code`. Or copy the skill folder (opt/hatch/skills/tessie in win4r/MuseAI-Skills) into .claude/skills/tessie in your project. Claude Code loads it when a task matches its description.
How do I install Tessie in Codex?
Run `npx skills add win4r/MuseAI-Skills --skill tessie -a codex`. Or copy the skill folder (opt/hatch/skills/tessie in win4r/MuseAI-Skills) into .agents/skills/tessie in your project. Codex loads it when a task matches its description.
Can I use Tessie 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 win4r/MuseAI-Skills --skill tessie -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/tessie, .gemini/skills/tessie, .github/skills/tessie and .opencode/skills/tessie in your project.
What does Tessie need to run?
Going by SKILL.md and its folder, Tessie needs credentials named TESSIE_API_TOKEN. Our summary lists: A credential in TESSIE_API_TOKEN.
Does Tessie access the network?
SKILL.md names 1 domain. In commands or code: dash.tessie.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
Is Tessie 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 Tessie use?
No licence was found for Tessie or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Tessie use?
About 738 tokens (SKILL.md is roughly 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 Tessie?
Skills that share tags, products or a category with Tessie: Node Inspect Debugger (openclaw/openclaw, 392k stars), Qdrant Monitoring (github/awesome-copilot, 40k stars), Monitoring Capture Service (PostHog/posthog, 40k stars) and Monitoring Ingestion Pipeline (PostHog/posthog, 40k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Tessie?
win4r (a GitHub user) maintains it in win4r/MuseAI-Skills, which has 343 GitHub stars. The repository holds 25 skills in this directory. The repository was last updated on September 28, 2026.
Source: win4r/MuseAI-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.