stoneytech-trinity-learning-agent
StoneyTECH Trinity pattern repo for bounded teaching, progression, and recall loops. BYO agent, MCP-ready, file-graph-backed.
Install / Use
claude mcp add StoneyTECH -- npx -y github:StoneyTECH/stoneytech-trinity-learning-agentIf the server publishes to npm under a different name, use that package instead — check the repo README.
MCP Server
Model Context Protocol server
Quality Score
Category
Education & ResearchSupported Platforms
Tags
Our assessment of stoneytech-trinity-learning-agent
stoneytech-trinity-learning-agent scores 34/100 on our quality scale, 440th of 444 Education & Research skills we index.
Its MCP Server is 853 bytes long, written without headings and no code examples: fairly brief, so expect to fill in details yourself.
It has no GitHub stars yet, so there is no community track record; judge it on its content.
Maintenance, license and trust
- We could not determine when the repository was last updated.
- No license is declared. By default that means all rights are reserved: you can read it, but reusing or redistributing it is not clearly permitted. Ask the author before building on it commercially.
- Its trust signals score 68/100, with 3 cautions from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands.
Automated pattern scan on 2026-10-29. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
stoneytech-trinity-learning-agent compared with similar skills
All 4 of these similar skills score higher than stoneytech-trinity-learning-agent; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| stoneytech-trinity-learning-agent (this skill)by StoneyTECH | 34 | 0 | — | MCP Server |
| Agent-Reachby Panniantong | 100 | 106.2k | 4d ago | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 78.3k | today | CLAUDE.md |
| last30days-skillby mvanhorn | 100 | 65.9k | 1d ago | CLAUDE.md |
| CowAgentby zhayujie | 100 | 47.7k | today | CLAUDE.md |
Frequently asked questions
- How do I install stoneytech-trinity-learning-agent?
- Run
claude mcp add StoneyTECH -- npx -y github:StoneyTECH/stoneytech-trinity-learning-agent. The install tabs above show the steps for each supported agent. - Which AI agents does stoneytech-trinity-learning-agent work with?
- It is written for Claude Code and Claude Desktop, as a MCP Server file. Other agents that read the same format can often use it too.
- Is stoneytech-trinity-learning-agent safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. It declares no license and scores 68/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is stoneytech-trinity-learning-agent still maintained?
- We could not determine when the repository was last updated.
Skill content
View source on GitHub{
"name": "stoneytech-trinity-learning-agent",
"version": "0.3.0",
"private": true,
"type": "module",
"license": "Apache-2.0",
"description": "Two daily agents over a shared curriculum on the agentic stack. learning (content engine) generates an .svx draft for the site; study (learning engine) sends a recall question + canonical answer for spaced repetition, with self-grading via npm run grade.",
"scripts": {
"hello": "tsx src/hello.ts",
"drill": "tsx src/drill.ts",
"study": "tsx src/study.ts",
"grade": "tsx src/grade.ts",
"list": "tsx src/list-concepts.ts",
"demo": "tsx src/demo.ts",
"mcp:demo": "tsx mcp/server.ts",
"test": "tsx --test "test/**/*.test.ts""
},
"dependencies": {
"tsx": "^4.19.0"
},
"devDependencies": {
"@types/node": "^22.0.0",
"typescript": "^5.6.0"
}
}
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Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.