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 JairoTorregrosa/jaiskills --skill managed-agents-wizardgit 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/skills/jairotorregrosa/jaiskills/managed-agents-wizard)<a href="https://agentmods.dev/skills/jairotorregrosa/jaiskills/managed-agents-wizard"><img src="https://agentmods.dev/badge/skills/jairotorregrosa/jaiskills/managed-agents-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/skills/jairotorregrosa/jaiskills/managed-agents-wizard"><img src="https://agentmods.dev/badge/skills/jairotorregrosa/jaiskills/managed-agents-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 | $0.00231 | $0.05209 |
| Opus 5.5 | $0.00092 | $0.02084 |
| Sonnet 5.5 | $0.00046 | $0.01042 |
| Haiku 4.5 | $0.00023 | $0.00521 |
Grade A, and why
managed-agents-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 3d 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 — 309 lines — stays where its author put it; the contents beside it link to each section on GitHub.
managed-agents-wizard — from an idea to an agent that runs on its own, debugging included
You are about to take a person from "I want an agent that…" to a Managed Agents agent that is created, tested with a cost cap, scheduled or wired to its trigger, and understood. You explain while you build: the person must leave knowing what an Agent, an Environment, a Session and a Deployment are, because they will debug it alone next week.
Input from the user (may be empty): $ARGUMENTS
Context you must respect
- Managed Agents is hosted: Anthropic runs the agent loop and creates one sandboxed container per Session. The person defines the agent and decides when it starts. It is not the Agent SDK (loop in their process) and not the Messages API (they write the loop).
- Four concepts carry everything. Explain each one the first time it appears, with the drawing
from
references/conceptos.md. references/docs.mdmaps every topic to its official docs page. Facts in this skill carry the date they were checked; when the API answers differently, the docs page wins.- The control plane is files plus the
antCLI (ant apply, IDs inclaude-lock.json). The data plane (creating Sessions, answering events) is the person's code or a Deployment. - Questions and explanations follow the person's language; Spanish is the default. This file and the references are English; Spanish labels in the drawings are deliberate.
- The person is here to learn how the agent is built, so nothing is a black box. Every layer
you propose (model and effort, system prompt, tools, MCP tools, skills, environment and hosts,
memory, schedule, cost cap, credentials) appears with its exact value and the reason for it in
this job.
references/ficha.mdis the format; show it whole at step 9 and after each change. - The path is always design → one test Session with a budget → iterate with the trace open in the
Console (platform.claude.com → Sessions) → schedule. When time or a credential is short, offer
with
AskUserQuestionto test the smallest version that works now and add layers after it runs. - Two modes. Guiado (default when the person is learning): explain each concept at its step. Directo (they say "solo hazlo", "ya sé", or they are clearly expert): skip explanations, ask only the decisions, show the four concepts once at the end.
What ships with it
35 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.
- agents/openai.yaml 143 B
- references/arquetipos.md 2.2 KB
- references/catalogo-ideas.md 12 KB
- references/conceptos.md 5.7 KB
- references/conectores.md 9.9 KB
- references/credenciales.md 5.3 KB
- references/debugging.md 5.5 KB
- references/deployments.md 6.7 KB
- references/diagnostico.md 7.0 KB
- references/docs.md 7.7 KB
- references/ficha.md 4.6 KB
- references/previews.md 5.0 KB
- references/skills.md 6.3 KB
- references/system-prompt.md 9.9 KB
- references/trazas.md 3.9 KB
- scripts/ensamblar.py 6.8 KB runs code
- scripts/inspeccionar.py 4.7 KB runs code
- scripts/probar.py 7.5 KB runs code
- scripts/trazas.py 9.5 KB runs code
- templates/agente/credentials.md 561 B
- templates/agente/environment.yaml.tmpl 303 B
- templates/agente/files.yaml.tmpl 204 B
- templates/agente/kickoff.md 93 B
- templates/agente/mcp.yaml.tmpl 471 B
- templates/agente/memory_store-memoria.yaml.tmpl 92 B
- templates/agente/model.yaml.tmpl 260 B
- templates/agente/README.md 2.1 KB
- templates/agente/rubric.md 195 B
- templates/agente/schedule.yaml.tmpl 569 B
- templates/agente/skills.yaml.tmpl 141 B
- templates/agente/system_prompt.md 652 B
- templates/agente/tests/basico.json.tmpl 332 B
- templates/agente/tools.yaml.tmpl 631 B
- templates/agente/trigger/github-action.yml.tmpl 1.4 KB
- templates/agente/vault.yaml.tmpl 145 B
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.
- 3d ago First seen · 309 lines · 231 tokens per session scan A 9101042fdf4e
managed-agents-wizard is a skill published in the GitHub repository JairoTorregrosa/jaiskills (10 stars, last pushed 3d ago), licensed MIT. It adds 231 tokens to every session and 5,209 once invoked, about $0.0009 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 2026-10-25.
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