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 fabioc-aloha/Alex_Skill_Mall --skill setup-ai-operationsgit clone --depth 1 https://github.com/fabioc-aloha/Alex_Skill_MallWrote 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/fabioc-aloha/alex_skill_mall/setup-ai-operations)<a href="https://agentmods.dev/skills/fabioc-aloha/alex_skill_mall/setup-ai-operations"><img src="https://agentmods.dev/badge/skills/fabioc-aloha/alex_skill_mall/setup-ai-operations/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/fabioc-aloha/alex_skill_mall/setup-ai-operations"><img src="https://agentmods.dev/badge/skills/fabioc-aloha/alex_skill_mall/setup-ai-operations.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 | $0.00053 | $0.00962 |
| Opus 5 | $0.00026 | $0.00481 |
| Sonnet 5 | $0.00011 | $0.00192 |
| Haiku 4.5 | $0.00005 | $0.00096 |
Grade A, and why
setup-ai-operations 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 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.
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 — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Setup AI Operations
Configure only the providers the user chooses. Plugin installation is not authorization to authenticate providers, install Python packages, or spend credits.
Onboarding Boundary
Onboarding ends after plugin installation and component verification. During onboarding, do not ask for API keys, tokens, or other credentials, do not initiate provider login, and do not provision a provider runtime. Report that planning is available without credentials. Defer provider login and authentication until an approved execution plan selects a provider and execution requires access.
Procedure
- Determine whether this is onboarding or just-in-time preparation for a selected execution.
- During onboarding, inspect the MCP definitions, report all three providers as unverified, state that planning is ready, and stop without authentication or provisioning.
- After an approved plan selects a provider and execution requires access, configure only that provider.
- For Foundry, start
aiops-foundryathttps://mcp.ai.azure.comand complete Microsoft Entra ID login. Confirm an Azure subscription, Foundry project, and Contributor-or-higher access before execution. - For Hugging Face, start
aiops-huggingfaceand complete the first-party login flow. Provider settings control enabled Hub and Space tools. - Keep all provider credentials optional during installation and planning. Do not request or validate an API key until the user has selected a model and operation that needs it.
- After model selection, route hosted providers through provider-native login and local providers through the exact host environment variable or approved secret storage. Never write, print, or request the secret value in chat.
- For ElevenLabs runtime setup, identify
ELEVENLABS_API_KEYas the selected execution secret when the chosen model requires it. - Run
scripts/provision-runtime.mjswithout flags. Show its preview: Python, exactelevenlabs-mcp==0.12.2package, private runtime target, and package index policy. - Ask for explicit consent before
--apply. - On approval, rerun the provisioner with
--apply. - Reload the host, then run
npm run verifyfrom the plugin source or its equivalent installed-path verifier. - Report each provider independently. One unavailable provider does not make the optional plugin unusable for the others.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 91 lines · 53 tokens per session scan A b97641da42a8
setup-ai-operations is a skill published in the GitHub repository fabioc-aloha/Alex_Skill_Mall (4 stars, last pushed yesterday), licensed MIT. It adds 53 tokens to every session and 962 once invoked, about $0.0003 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 2026-08-31.
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