plugin-package
Skill1 starsChanged 7 days agoMITView on GitHub
Build the two store packages for one MCP server from a single listing source - the ChatGPT plugin ZIP (plugin.json with the com.openai interface, review test cases and publication blocks, mcp.json with the OAuth settings, an onboarding skill, icons) and Claude's plugin bundle and connector-portal text - and check the ZIP for the mistakes the OpenAI upload rejects. Use when preparing a ChatGPT plugin ZIP or a Claude plugin, when the OpenAI portal says "Invalid plugin package" or "Update the MCP authentication settings", when a brand-colour or contrast finding appears, or when listing text needs to fit each store's limits.
In this repository8 other files it gives its agents.
- AGENTS.mdAGENTS.md
- mcp-app-cardsSkill
- mcp-server-for-pluginsSkill
- plugin-oauthSkill
- plugin-prerequisitesSkill
- publish-mcp-serverSkill
- submit-to-chatgptSkill
- submit-to-claudeSkill
The file
We split this skill into the rules it gives an agent
3 rules. About 0 are common, 1 is distinctive, and 2 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 12
Keep every word of the listing (names, descriptions, prompts, test cases, URLs, colours) in one file, for example plugin/listing.json, and …
- Very specific: line 37
The demo video is required to submit for review: Leave an empty demo_recording_url out (the upload rejects it), and tell the user they …
- Distinctive: line 74
Leave affiliation disclaimers and marketing superlatives out of the one-liner.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Two packages from one listing source
Keep every word of the listing (names, descriptions, prompts, test cases, URLs, colours) in one
file, for example plugin/listing.json, and generate both packages from it with a script. Put
the store's name in the shared description as a placeholder ({app} → "ChatGPT" or "Claude").
Re-run the generator in CI with a --check flag that fails when a package is out of date.
The ChatGPT ZIP
Upload at platform.openai.com/plugins. The ZIP's root holds:
plugin.json $schema https://agent-plugins.org/schemas/1.0.0/plugin.schema.json
mcp.json the server and its auth
skills/get-started/SKILL.md an onboarding skill (name must match the folder)
assets/icon.png icon-dark.png logo.pngShapes and limits are in references/chatgpt-package.md. The checks that the upload enforces
and that bit us, all caught by scripts/check_chatgpt_package.py:
review.test_cases.positive[].tools_triggeredis one string, names joined by", ", not a list ("Input should be a valid string").mcp.jsonauthneedsauthorizationUrlandtokenUrlbesideclient: {mode: "cimd"}("Declare both authorizationUrl and tokenUrl for OAuth"), even though discovery gives them.- Brand colours need contrast: dark vs
#212121at least 2:1 ("Dark brand color must have at least 2:1 contrast against #212121"); check the light one against white too. - The demo video is required to submit for review. Leave an empty
demo_recording_urlout (the upload rejects it), and tell the user they still need the video link before submitting: inplugin.json, or pasted in the portal's Supporting content step. - Exactly five positive and three negative test cases for submission;
developerNameequal to your verified identity;displayNameandshortDescriptionat most 30 characters; up to threedefaultPrompts of at most 128. - No
commercein the plugin: purchases stay on your website.
python3 scripts/check_chatgpt_package.py upsc-grade-chatgpt.zip # or a folder
python3 scripts/check_chatgpt_package.py dist/chatgpt --server https://api.example.com--server also fetches your authorization-server metadata and checks the ZIP's
authorizationUrl and tokenUrl match it.
Claude
Claude has two listings that can point at the same server:
- The connector (claude.ai/directory/manage → Submit → MCP connector): typed into the
portal. Generate its text (one-liner, description, use cases, test steps) from the listing
source into a markdown file you copy from; see
submit-to-claude. - A plugin bundle (optional): a public GitHub repo with
.claude-plugin/plugin.json,.mcp.json({"mcpServers": {"<name>": {"type": "http", "url": "https://…/mcp"}}}), a skill, a README of at least 40 words that says what it does, how to use it and what data it sends, and a LICENSE. No symlinks, no secrets.
Words that fit both
- ChatGPT:
shortDescription30 characters ("Your exam second brain"),longDescriptionup to 4,000, capabilities up to 20 lines of 120. - Claude: one-liner up to 200, but the directory card shows about 90 before cutting it; description up to 2,000.
- Claims must match what the tools do: reviewers compare them. Count things on real data (a "20,000 answers" claim that counts empty rows is wrong), and say where data comes from ("from the official key wherever one is published").
- Leave affiliation disclaimers and marketing superlatives out of the one-liner; keep facts.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

