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 update-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/update-ai-config)<a href="https://agentmods.dev/skills/fabis94/universal-ai-config/update-ai-config"><img src="https://agentmods.dev/badge/skills/fabis94/universal-ai-config/update-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/update-ai-config"><img src="https://agentmods.dev/badge/skills/fabis94/universal-ai-config/update-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 | $0.00030 | $0.01201 |
| Opus 5.5 | $0.00012 | $0.00480 |
| Sonnet 5.5 | $0.00006 | $0.00240 |
| Haiku 4.5 | $0.00003 | $0.00120 |
Grade A, and why
update-ai-config scanned grade A with 0 findings 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 yesterday.
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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Manage AI Config Templates
IMPORTANT: This project uses universal-ai-config (uac). All AI configuration lives in the <%= config.templatesDir %>/ directory as universal templates. NEVER edit generated target-specific files (e.g. .claude/, .github/copilot-instructions.md, .cursor/, .codex/, AGENTS.md files, .agents/, .mcp.json) directly — those are overwritten on every uac generate run. Always modify the source templates in <%= config.templatesDir %>/.
When the user wants to add or change AI configuration for this project, follow these steps:
1. Understand the Request
Read the template guide at <%= instructionPath('uac-template-guide') %> to understand the available template types and when to use each. It links to detailed reference docs (full field tables, per-target event and tool names) — read those only when you need the exact detail.
2. Determine the Template Type
Based on the user's request, decide which type of template to work with:
- Persistent context, rules, or guidelines → Instruction template
- Repeatable task, workflow, or slash command → Skill template
- Specialized AI persona with restricted tools → Agent template
- Automatic lifecycle automation (on events) → Hook template
- MCP server configuration → MCP template
- Long reference material only needed occasionally → a supporting file next to a skill's
SKILL.md, or a doc elsewhere in the repo linked by its path (see Long Reference Material in the template guide)
Examples:
- "Add a rule about error handling" → Instruction
- "Create a deploy workflow" → Skill
- "Set up a code reviewer" → Agent
- "Run linting after file edits" → Hook
- "Add an MCP server for GitHub" → MCP
If the intent is ambiguous, ask the user to clarify before proceeding.
3. Delegate
Read the detailed guide for the chosen template type and follow its instructions:
- Instructions →
<%= skillPath('update-instruction') %> - Skills →
<%= skillPath('update-skill') %> - Agents →
<%= skillPath('update-agent') %> - Hooks →
<%= skillPath('update-hook') %> - MCP →
<%= skillPath('update-mcp') %>
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.
- yesterday Changed 82dfd24e893b
- 2d ago Changed · +1 lines a7fef9865cfa
- 2mo ago First seen · 72 lines · 30 tokens per session scan A 3296fbac95fa
update-ai-config is a skill published in the GitHub repository fabis94/universal-ai-config (14 stars, last pushed 2d ago), licensed MIT. It adds 30 tokens to every session and 1,201 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
update-ai-config compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| update-ai-configfabis94/universal-ai-config | Skill | 14 | 2d ago | MIT | A | 30 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | today | MIT | A | 200 | Claude Code, Codex |
| playwright-climicrosoft/playwright | Skill | 99k | today | Apache-2.0 | A | 19 | Claude Code |
| systematic-debuggingobra/superpowers | Skill | 314k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |
| chat-pet-sprite-creationmicrosoft/vscode | Skill | 195k | today | MIT | A | 53 | Claude Code, Codex |