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.
git clone --depth 1 https://github.com/JairoTorregrosa/jaiskillsWrote 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/commands/jairotorregrosa/jaiskills/agent-wizard)<a href="https://agentmods.dev/commands/jairotorregrosa/jaiskills/agent-wizard"><img src="https://agentmods.dev/badge/commands/jairotorregrosa/jaiskills/agent-wizard/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/commands/jairotorregrosa/jaiskills/agent-wizard"><img src="https://agentmods.dev/badge/commands/jairotorregrosa/jaiskills/agent-wizard.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 | $0.00017 | $0.00263 |
| Opus 5 | $0.00009 | $0.00131 |
| Sonnet 5 | $0.00003 | $0.00053 |
| Haiku 4.5 | $0.00002 | $0.00026 |
Grade A, and why
agent-wizard 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 4d 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.
What it actually says
Agent SDK wizard
Invoke the agent-sdk-wizard skill and run it end to end.
$ARGUMENTS
How to start
- Arguments given → that text is the goal. Use it as the pre-filled proposal for step 2: ask the question anyway, but say in one line which archetype it maps to and put that option first. Do not skip step 2 — the user's phrasing is a goal, not an archetype.
- No arguments → start at step 1 with no preamble.
Then follow SKILL.md: nine AskUserQuestion calls, one per step, every option carrying its
ASCII preview from references/previews.md, recommended option first. Generate the agent
from templates/, and do not report done until it has actually run and printed its result.
If the user says "dame todos los recomendados" / "just use the defaults", skip the remaining questions, take every recommended option, generate, run, and then show the nine decisions so nothing is a surprise.
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.
- 4d ago First seen · 26 lines · 17 tokens per session scan A 3700dcf5f2c6
agent-wizard is a command published in the GitHub repository JairoTorregrosa/jaiskills (5 stars, last pushed 8d ago), licensed MIT. It adds 17 tokens to every session and 263 once invoked, about $0.0001 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 2026-09-05.
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