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 | $0.00704 |
| Opus 5 | $0.00016 | $0.00352 |
| Sonnet 5 | $0.00006 | $0.00141 |
| Haiku 4.5 | $0.00003 | $0.00070 |
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 8d 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.
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 — 58 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.
Important: Agents are supported by Claude, Copilot, and Codex. Cursor does not support agents — consider using a skill with forkContext: true as an alternative for Cursor. Codex emits each agent as a standalone .codex/agents/<name>.toml file (body becomes developer_instructions); see the "Codex caveats" section in <%= instructionPath('uac-template-guide') %>.
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
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
See the Agents section in <%= instructionPath('uac-template-guide') %> for the complete field reference and per-target override syntax. Key fields: name, description, model, tools, permissionMode, hooks, plus Codex-specific nicknameCandidates and sandboxMode.
Cross-target gotchas for agents
When targeting Codex alongside Claude/Copilot, three fields require special attention because their vocabularies don't align (see "Cross-target value gotchas" in <%= instructionPath('uac-template-guide') %>):
model: Use a per-target override. Claude takesclaude-*model IDs; Codex takesgpt-5.4,gpt-4.1, etc.permissionModevssandboxMode:permissionModeis Claude-specific (acceptEdits,bypassPermissions,plan). For Codex, setsandboxMode: { codex: "workspace-write" }(values:read-only,workspace-write,danger-full-access).tools: Codex has no agent-level tool restriction — configure per-serverenabledToolson the MCP server config instead. Universaltoolsis dropped for Codex with a warning.
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.
- 8d 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 (11 stars, last pushed 12d ago), licensed MIT. It adds 32 tokens to every session and 704 once invoked, about $0.0002 per session on Opus 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.
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