Dingo Verify
MigoXLab/dingo
A skill your agent uses when the user wants to fact-check an article or verify factual claims in a document.
Check OpenAI API access and list the models your key can use.
Install Openai
$ npx skills add Anil-matcha/awesome-muse-connectors --skill openai -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Anil-matcha/awesome-muse-connectors openai --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/openai .claude/skills/openai && 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 "openai" agent skill from https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/openai into .claude/skills/openai/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "openai", 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/openaiType 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 openai -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Anil-matcha/awesome-muse-connectors openai --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/openai .agents/skills/openai && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "openai" agent skill from https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/openai into .agents/skills/openai/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "openai", 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 openai -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Anil-matcha/awesome-muse-connectors openai --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/openai .cursor/skills/openai && 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 "openai" agent skill from https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/openai into .cursor/skills/openai/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "openai", 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/openai--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 openai -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Anil-matcha/awesome-muse-connectors openai --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/openai .gemini/skills/openai && 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 "openai" agent skill from https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/openai into .gemini/skills/openai/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "openai", 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 openaiInstalls 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 openai -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/openai .github/skills/openai && 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 "openai" agent skill from https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/openai into .github/skills/openai/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "openai", 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 openai -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 openai --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/openai .opencode/skills/openai && 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 "openai" agent skill from https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/openai into .opencode/skills/openai/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "openai", 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
openai- GitHub stars
- 1.3k
- Token cost
- ~395 tokens
- SKILL.md length
- 140 words
- Files
- 2
- Skills in repo
- 153
- Repo updated
- First seen
- Licence
- MIT
At a glance
Check OpenAI API access and list the models your key can use.
- Works in 2 steps: This skill is read-only. models is the… → Never exfiltrate the credential: the CLI…
- Phrases: openai
- SKILL.md covers Purpose, Tooling, Auth and Operating Rules, plus 2 more sections
- Runs Python scripts from its folder
What it does
Openai is an agent skill from Anil-matcha/awesome-muse-connectors. Check OpenAI API access and list the models your key can use. Read-only. Trigger phrases: openai, openai models, what models do I have access to.
Its SKILL.md is about 400 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `bin/openai.py`).
It sits in AI & LLM Engineering, covering LLM API integration. It works with OpenAI. 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: openai
- What models do I have access to
Example prompts
- “/openai”
Requirements
- Python 3
Workflow steps
2 steps, taken from the first numbered list in SKILL.md.
- This skill is read-only. models is the only command; it never creates completions or spends the user's credits.
- Never exfiltrate the credential: the CLI only ever handles surrogates (see bin/openai.py). Do not print, log, or transmit the key value.
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
Openai loads about 395 tokens when it runs. Until then it costs about 38 tokens; SKILL.md has 140 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). 140 words, ~395 tokens.
Download SKILL.mdSave it as
.claude/skills/openai/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- openai
- description
- Check OpenAI API access and list the models your key can use. Read-only. Trigger phrases: openai, openai models, what models do I have access to.
- metadata.includeInPrompt
- true
- tagline
- Check your OpenAI API access and list the models your key can use. Read-only.
- catalog_auth
- OpenAI API key (per-user, platform.openai.com/api-keys)
- catalog_hosts
- api.openai.com
OpenAI
Purpose
Check that the user's OpenAI API key works and list the models available to it (id and owner). Read-only by design: this skill never spends credits; it ships no completion, image, or other billable calls.
Tooling
All commands go through bin/openai.py:
bin/openai.py models # list models available to this key (id, owned_by), truncated to 40Auth
- Provider id:
openai(credential is collected ascustom.openai) - Collection: API key via the secure credential flow (
credentials.request_api_access): create one at platform.openai.com/api-keys - Connect placement:
bearer_header - Allowed hosts:
api.openai.com - Status check:
bin/openai.py models(a successful list proves the key works)
Operating Rules
- This skill is read-only.
modelsis the only command; it never creates completions or spends the user's credits. - Never exfiltrate the credential: the CLI only ever handles surrogates (see
bin/openai.py). Do not print, log, or transmit the key value.
Files
- SKILL.md
- bin/openai.py
Maturity
🧪 Draft: written from OpenAI's public API reference; 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/openai of Anil-matcha/awesome-muse-connectors.
- SKILL.md
- bin/openai.py
Open the folder on GitHubat commit d6dc5d8
Compare with similar skills
Openai 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 |
|---|---|---|---|---|---|---|
| Openai this skillAnil-matcha/awesome-muse-connectors | 1.3k | — | ~395 | Automated safety check: Pass | MIT | |
| Dingo VerifyMigoXLab/dingo | 757 | — | ~833 | Automated safety check: Pass | Apache-2.0 | |
| Agnes Free Textkangarooking/agnes-free-model-skills | 199 | — | ~630 | Automated safety check: Pass | MIT | |
| Openai Docstheowenyoung/home | 115 | 1 repos | ~1.4k | Automated safety check: Pass | Apache-2.0 | |
| Instructor Structured LLM OutputsOrchestra-Research/AI-Research-SKILLs | 13k | 6 repos | ~4.2k | Automated safety check: Pass | MIT | |
| Azure AI Projects Python SDKmicrosoft/skills | 3.1k | — | ~2.8k | Automated safety check: Pass | MIT |
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Questions about Openai
What does Openai do?
Check OpenAI API access and list the models your key can use. Openai is an agent skill from Anil-matcha/awesome-muse-connectors. Check OpenAI API access and list the models your key can use.
When should I use Openai?
Openai fits situations like: phrases: openai; what models do I have access to.
How do I install Openai in Claude Code?
Run `npx skills add Anil-matcha/awesome-muse-connectors --skill openai -a claude-code`. Or copy the skill folder (connectors/openai in Anil-matcha/awesome-muse-connectors) into .claude/skills/openai in your project. Claude Code loads it when a task matches its description.
How do I install Openai in Codex?
Run `npx skills add Anil-matcha/awesome-muse-connectors --skill openai -a codex`. Or copy the skill folder (connectors/openai in Anil-matcha/awesome-muse-connectors) into .agents/skills/openai in your project. Codex loads it when a task matches its description.
Can I use Openai 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 openai -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/openai, .gemini/skills/openai, .github/skills/openai and .opencode/skills/openai in your project.
What does Openai need to run?
Going by SKILL.md and its folder, Openai needs Python for the scripts in its folder. Our summary lists: Python 3.
Does Openai 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 Openai 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 Openai use?
Openai 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 Openai use?
About 395 tokens (SKILL.md is roughly 1.6k 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 Openai?
Skills that share tags, products or a category with Openai: Dingo Verify (MigoXLab/dingo, 757 stars), Agnes Free Text (kangarooking/agnes-free-model-skills, 199 stars), Openai Docs (theowenyoung/home, 115 stars) and Instructor Structured LLM Outputs (Orchestra-Research/AI-Research-SKILLs, 13k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Openai?
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.