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-agentgit 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-agent)<a href="https://agentmods.dev/skills/fabis94/universal-ai-config/update-agent"><img src="https://agentmods.dev/badge/skills/fabis94/universal-ai-config/update-agent/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-agent"><img src="https://agentmods.dev/badge/skills/fabis94/universal-ai-config/update-agent.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00032 | $0.00748 |
| Opus 5.5 | $0.00013 | $0.00299 |
| Sonnet 5.5 | $0.00006 | $0.00150 |
| Haiku 4.5 | $0.00003 | $0.00075 |
Grade A, and why
update-agent 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 — 59 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Manage Agent Templates
Agents are specialized AI personas with scoped tools and permissions that run in isolated contexts.
Every target supports agents. Cursor agents (.cursor/agents/<name>.md) take only name, description, model, readonly and background. Codex emits each agent as a standalone .codex/agents/<name>.toml file (body becomes developer_instructions) and skips an agent with no description or an empty body; see <%= docPath('uac/codex') %>.
Finding Existing Agents
List files in <%= agentTemplatePath() %>/ to discover existing agent templates. Read their frontmatter to understand each agent's purpose and capabilities.
Deciding What to Do
- Create new: when you need a new specialized persona with distinct capabilities
- Update existing: when an agent needs adjusted tools, permissions, or system prompt
- Delete: when an agent is no longer needed; then run
uac generate --cleanso its output goes too
Creating a New Agent
- Create a
.mdfile in<%= agentTemplatePath() %>/with a descriptive name (e.g.code-reviewer.md) - Add YAML frontmatter with at minimum
nameanddescription - Write the agent's system prompt as the body
Frontmatter Fields
Key fields: name, description, model, effort, tools, permissionMode, skills, hooks, plus Cursor's readonly, Copilot's modelPolicy, and the Codex-only codex block. Every field with its per-target support: <%= docPath('uac/frontmatter') %>. Per-target override syntax: <%= docPath('uac/templates') %>.
Cross-target gotchas for agents
model, permissionMode, and tools don't carry over between targets. Set model per target. Codex agents inherit the session's sandbox, approvals and MCP servers, so permissionMode, tools, skills and mcpServers are dropped for Codex (set sandboxing in .codex/config.toml; restrict tools per MCP server with enabledTools). Copilot's default harness rejects handoffs, subAgents and argumentHint, so uac drops them. Details: <%= docPath('uac/codex') %>. Model IDs per target: <%= docPath('uac/models') %>. Tool names per target: <%= docPath('uac/tools') %>.
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 · +5 lines d0cf8cd25a4c
- 2d ago Changed · -4 lines 42760755c9cb
- 2mo ago First seen · 58 lines · 32 tokens per session scan A 9538eb975e03
update-agent is a skill published in the GitHub repository fabis94/universal-ai-config (14 stars, last pushed 2d ago), licensed MIT. It adds 32 tokens to every session and 748 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-agent compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| update-agentfabis94/universal-ai-config | Skill | 14 | 2d ago | MIT | A | 32 | 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 |