Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add fabis94/universal-ai-config --skill import-existing-ai-configgit clone --depth 1 https://github.com/fabis94/universal-ai-configWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/fabis94/universal-ai-config/import-existing-ai-config)<a href="https://agentmods.dev/skills/fabis94/universal-ai-config/import-existing-ai-config"><img src="https://agentmods.dev/badge/skills/fabis94/universal-ai-config/import-existing-ai-config/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/fabis94/universal-ai-config/import-existing-ai-config"><img src="https://agentmods.dev/badge/skills/fabis94/universal-ai-config/import-existing-ai-config.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00037 | $0.04242 |
| Opus 5 | $0.00018 | $0.02121 |
| Sonnet 5 | $0.00007 | $0.00848 |
| Haiku 4.5 | $0.00004 | $0.00424 |
Grade B, and why
import-existing-ai-config scanned grade B with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Reads MCP configurationmediumAgent snooping
mcp.json carries server URLs and auth tokens; reading it lets a mod discover and abuse other integrations.
- MCP: `.vscode/mcp.json` — JSON with `servers` wrapper (not `mcpServers`), may include `inputs` array for interactive secret prompts How it starts
The opening of the file, as written. The whole thing — 174 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Import Existing AI Config
Convert existing target-specific AI configuration files into universal-ai-config templates. The user must specify which target to import from.
Usage
The user should specify the source target: claude, copilot, cursor, or codex.
Import Process
1. Identify Source Files
Scan the target's config directory for existing configuration files:
Claude (.claude/):
- Instructions:
.claude/rules/*.md— each file hasdescriptionand optionalpathsfrontmatter - Skills:
.claude/skills/*/SKILL.md— skill directories with frontmatter (name,description,allowed-tools,model,context,agent,disable-model-invocation,user-invocable,argument-hint,hooks). Skill directories may also contain extra supporting files (references, examples, scripts) alongsideSKILL.md. - Agents:
.claude/agents/*.md— agent files with frontmatter (name,description,tools,disallowedTools,permissionMode,skills,hooks,memory,model) - Hooks:
.claude/settings.json→hookskey — JSON with PascalCase event names (SessionStart,SessionEnd,UserPromptSubmit,PreToolUse,PostToolUse,PostToolUseFailure,Stop,SubagentStart,SubagentStop,PreCompact,PermissionRequest,Notification) - MCP:
.mcp.json— JSON withmcpServerswrapper containing server configs (type,command,args,env,url,headers) - Commands (deprecated):
.claude/commands/*.md— single-file slash commands with optional frontmatter (description,allowed-tools,argument-hint,model). May include subdirectories for namespacing (e.g..claude/commands/frontend/component.md— command name iscomponent). Body may use$ARGUMENTSplaceholder,!prefix for bash execution, and@prefix for file references.
Copilot (.github/):
- Instructions:
.github/copilot-instructions.md(always-apply) and.github/instructions/*.instructions.md(withapplyTofrontmatter) - Skills:
.github/skills/*/SKILL.md— skill directories with frontmatter (name,description,license,compatibility,metadata). May contain extra supporting files alongsideSKILL.md. - Agents:
.github/agents/*.agent.md— agent files with frontmatter (name,description,tools,model,target,mcp-servers,handoffs) - Hooks:
.github/hooks/hooks.json— JSON with version field and camelCase event names (sessionStart,sessionEnd,userPromptSubmitted,preToolUse,postToolUse,errorOccurred) - MCP:
.vscode/mcp.json— JSON withserverswrapper (notmcpServers), may includeinputsarray for interactive secret prompts
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 174 lines · 37 tokens per session scan B 601271dd9a48
import-existing-ai-config is a skill published in the GitHub repository fabis94/universal-ai-config (11 stars, last pushed 16d ago), licensed MIT. It adds 37 tokens to every session and 4,242 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it B with 1 finding (reads mcp configuration). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…