Node Inspect Debugger
openclaw/openclaw
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Inspect DigitalOcean: list droplets and domains. An agent skill from Anil-matcha/awesome-muse-connectors.
MITAuto-check passed
Install Digitalocean
$ npx skills add Anil-matcha/awesome-muse-connectors --skill digitalocean -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Anil-matcha/awesome-muse-connectors digitalocean --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/Anil-matcha/awesome-muse-connectors.git skills-src && mkdir -p .claude/skills && cp -r skills-src/connectors/digitalocean .claude/skills/digitalocean && 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 "digitalocean" agent skill from https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/digitalocean into .claude/skills/digitalocean/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "digitalocean", 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/Anil-matcha/awesome-muse-connectors/tree/main/connectors/digitaloceanType 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 Anil-matcha/awesome-muse-connectors --skill digitalocean -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Anil-matcha/awesome-muse-connectors digitalocean --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Anil-matcha/awesome-muse-connectors.git skills-src && mkdir -p .agents/skills && cp -r skills-src/connectors/digitalocean .agents/skills/digitalocean && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "digitalocean" agent skill from https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/digitalocean into .agents/skills/digitalocean/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "digitalocean", 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 Anil-matcha/awesome-muse-connectors --skill digitalocean -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Anil-matcha/awesome-muse-connectors digitalocean --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Anil-matcha/awesome-muse-connectors.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/connectors/digitalocean .cursor/skills/digitalocean && 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 "digitalocean" agent skill from https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/digitalocean into .cursor/skills/digitalocean/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "digitalocean", 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/Anil-matcha/awesome-muse-connectors.git --path connectors/digitalocean--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 Anil-matcha/awesome-muse-connectors --skill digitalocean -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Anil-matcha/awesome-muse-connectors digitalocean --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Anil-matcha/awesome-muse-connectors.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/connectors/digitalocean .gemini/skills/digitalocean && 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 "digitalocean" agent skill from https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/digitalocean into .gemini/skills/digitalocean/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "digitalocean", 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 Anil-matcha/awesome-muse-connectors digitaloceanInstalls 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 Anil-matcha/awesome-muse-connectors --skill digitalocean -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Anil-matcha/awesome-muse-connectors.git skills-src && mkdir -p .github/skills && cp -r skills-src/connectors/digitalocean .github/skills/digitalocean && 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 "digitalocean" agent skill from https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/digitalocean into .github/skills/digitalocean/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "digitalocean", 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 Anil-matcha/awesome-muse-connectors --skill digitalocean -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Anil-matcha/awesome-muse-connectors digitalocean --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Anil-matcha/awesome-muse-connectors.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/connectors/digitalocean .opencode/skills/digitalocean && 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 "digitalocean" agent skill from https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/digitalocean into .opencode/skills/digitalocean/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "digitalocean", 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
digitalocean- GitHub stars
- 1.3k
- Token cost
- ~433 tokens
- SKILL.md length
- 145 words
- Files
- 2
- Skills in repo
- 153
- Repo updated
- First seen
- Licence
- MIT
At a glance
Inspect DigitalOcean: list droplets and domains. An agent skill from Anil-matcha/awesome-muse-connectors.
- Works in 4 steps: This skill is read-only by design: no… → Reading needs no confirmation. → DigitalOcean tokens support scopes; a… → …
- Phrases: digitalocean
- SKILL.md covers Purpose, Tooling, Auth and Operating Rules, plus 2 more sections
- Runs Python scripts from its folder
What it does
Digitalocean is an agent skill from Anil-matcha/awesome-muse-connectors. Inspect DigitalOcean: list droplets and domains. Trigger phrases: digitalocean, droplet, digitalocean domains.
Its SKILL.md is about 430 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `bin/digitalocean.py`).
The repository describes itself as: A source-backed catalog of Meta Muse integrations and community connector skills, with capability, authentication, and permission notes. The licence is MIT.
When your agent uses it
- Phrases: digitalocean
- Digitalocean domains
Example prompts
- “/digitalocean”
Requirements
- Python 3
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- This skill is read-only by design: no droplet create/delete/action commands ship.
- Reading needs no confirmation.
- DigitalOcean tokens support scopes; a read-only token (droplet:read, domain:read) is enough for this skill.
- Never exfiltrate the credential: the CLI only ever handles surrogates (see bin/digitalocean.py). Do not print, log, or transmit the token…
What it can do on your machine
Read from SKILL.md and the folder at commit d6dc5d8. 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 (Python), which the agent can run.
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
Digitalocean loads about 433 tokens when it runs. Until then it costs about 31 tokens; SKILL.md has 145 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
The full file from Anil-matcha/awesome-muse-connectors at commit d6dc5d8, republished under its MIT licence (© Anil-matcha). 145 words, ~433 tokens.
Download SKILL.mdSave it as
.claude/skills/digitalocean/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- digitalocean
- description
- Inspect DigitalOcean: list droplets and domains. Trigger phrases: digitalocean, droplet, digitalocean domains.
- metadata.includeInPrompt
- true
- tagline
- List your DigitalOcean droplets and domains. Read-only.
- catalog_auth
- personal access token (per-user, cloud.digitalocean.com → API)
- catalog_hosts
- api.digitalocean.com
DigitalOcean
Purpose
Read-only visibility into the user's DigitalOcean account: list droplets (name, status, region) and domains. Use when the user asks what servers or domains they have on DigitalOcean.
Tooling
All commands go through bin/digitalocean.py:
bin/digitalocean.py droplets # droplets (name, status, region)
bin/digitalocean.py domains # domains (name)Auth
- Provider id:
digitalocean(credential is collected ascustom.digitalocean) - Collection: personal access token from cloud.digitalocean.com → API → Personal access tokens, via the secure credential flow (
credentials.request_api_access) - Connect placement: bearer_header
- Allowed hosts:
api.digitalocean.com - Status check:
bin/digitalocean.py droplets(must return your droplets)
Operating Rules
- This skill is read-only by design: no droplet create/delete/action commands ship.
- Reading needs no confirmation.
- DigitalOcean tokens support scopes; a read-only token (
droplet:read,domain:read) is enough for this skill. - Never exfiltrate the credential: the CLI only ever handles surrogates (see
bin/digitalocean.py). Do not print, log, or transmit the token value.
Files
- SKILL.md
- bin/digitalocean.py
Maturity
🧪 Draft: written from DigitalOcean's public API docs; not yet live-tested end-to-end.
© Anil-matcha, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 1 other file in connectors/digitalocean of Anil-matcha/awesome-muse-connectors.
- SKILL.md
- bin/digitalocean.py
Open the folder on GitHubat commit d6dc5d8
Compare with similar skills
Digitalocean 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 |
|---|---|---|---|---|---|---|
| Digitalocean this skillAnil-matcha/awesome-muse-connectors | 1.3k | — | ~433 | Automated safety check: Pass | MIT | |
| Node Inspect Debuggeropenclaw/openclaw | 392k | 1 repos | ~894 | Automated safety check: Pass | MIT | |
| Sitemap Domainthedaviddias/Front-End-Checklist | 74k | — | ~531 | Automated safety check: Pass | MIT | |
| Domain Driven Designdavila7/claude-code-templates | 32k | 5 repos | ~623 | Automated safety check: Pass | MIT | |
| Domain Modeling and Glossarywindmill-labs/windmill | 18k | — | ~622 | Automated safety check: Pass | Custom licence | |
| Blender Motion State Inspectionaffaan-m/ECC | 276k | 1 repos | ~2k | Automated safety check: Pass | MIT |
Similar skills
Sitemap Domain
thedaviddias/Front-End-Checklist
A skill your agent uses when applies to sites that have recently migrated from HTTP to HTTPS, changed domain name, or have www/non-www redirect configurations.
Domain Driven Design
davila7/claude-code-templates
Plan and route Domain-Driven Design work from strategic modeling to tactical implementation and evented architecture patterns.
Domain Modeling and Glossary
windmill-labs/windmill
Actively challenges vague or conflicting terminology as you design, and keeps a living domain glossary file up to date in real time.
Blender Motion State Inspection
affaan-m/ECC
A skill your agent uses when inspecting Blender characters, rigs, poses, animation retargeting, ground contact, facing direction, or model-vs-motion alignment where screenshots alone are not enough.
Codebase Domain Flow Extractor
Egonex-AI/Understand-Anything
Extracts business domains, flows and process steps from a codebase and produces an interactive horizontal flow graph, reusing an existing knowledge graph when one exists.
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Questions about Digitalocean
What does Digitalocean do?
Inspect DigitalOcean: list droplets and domains. An agent skill from Anil-matcha/awesome-muse-connectors. Digitalocean is an agent skill from Anil-matcha/awesome-muse-connectors. Inspect DigitalOcean: list droplets and domains.
When should I use Digitalocean?
Digitalocean fits situations like: phrases: digitalocean; digitalocean domains.
How do I install Digitalocean in Claude Code?
Run `npx skills add Anil-matcha/awesome-muse-connectors --skill digitalocean -a claude-code`. Or copy the skill folder (connectors/digitalocean in Anil-matcha/awesome-muse-connectors) into .claude/skills/digitalocean in your project. Claude Code loads it when a task matches its description.
How do I install Digitalocean in Codex?
Run `npx skills add Anil-matcha/awesome-muse-connectors --skill digitalocean -a codex`. Or copy the skill folder (connectors/digitalocean in Anil-matcha/awesome-muse-connectors) into .agents/skills/digitalocean in your project. Codex loads it when a task matches its description.
Can I use Digitalocean 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 Anil-matcha/awesome-muse-connectors --skill digitalocean -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/digitalocean, .gemini/skills/digitalocean, .github/skills/digitalocean and .opencode/skills/digitalocean in your project.
What does Digitalocean need to run?
Going by SKILL.md and its folder, Digitalocean needs Python for the scripts in its folder. Our summary lists: Python 3.
Does Digitalocean 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 Digitalocean 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 Digitalocean use?
Digitalocean is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Digitalocean use?
About 433 tokens (SKILL.md is roughly 1.7k 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 Digitalocean?
Skills that share tags, products or a category with Digitalocean: Node Inspect Debugger (openclaw/openclaw, 392k stars), Sitemap Domain (thedaviddias/Front-End-Checklist, 74k stars), Domain Driven Design (davila7/claude-code-templates, 32k stars) and Domain Modeling and Glossary (windmill-labs/windmill, 18k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Digitalocean?
Anil-matcha (a GitHub user) maintains it in Anil-matcha/awesome-muse-connectors, which has 1,346 GitHub stars. The repository holds 153 skills in this directory. The repository was last updated on October 5, 2026.
Source: Anil-matcha/awesome-muse-connectors on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.