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 agentmods add commands/686f6c61/alfred-dev/ajustesgit clone --depth 1 https://github.com/686f6c61/alfred-devWrote 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/686f6c61/alfred-dev/ajustes)<a href="https://agentmods.dev/commands/686f6c61/alfred-dev/ajustes"><img src="https://agentmods.dev/badge/commands/686f6c61/alfred-dev/ajustes.svg" alt="Measured on agentmods" 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 | $0.00023 | $0.01860 |
| Opus 5 | $0.00012 | $0.00930 |
| Sonnet 5 | $0.00005 | $0.00372 |
| Haiku 4.5 | $0.00002 | $0.00186 |
Grade A, and why
ajustes scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 166 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/alfred-dev:ajustes
Lee el fichero .claude/alfred-dev.local.md si existe. Si no existe, créalo con la configuración canónica actual del plugin.
Escribe siempre la clave canónica autonomia en el frontmatter, aunque encuentres variantes legacy como autonomía. El runtime las entiende por retrocompatibilidad, pero la escritura nueva debe quedar normalizada.
Paso 0: helper determinista
Antes de razonar o preguntar, ejecuta este Bash inmediatamente para cargar o crear la configuración, detectar stack, construir las 7 secciones y generar el menú canónico:
python3 "${CLAUDE_PLUGIN_ROOT}/core/config_cli.py" "$PWD" --headless
Conserva ese stdout como CONFIG_SUMMARY. Si el comando falla porque
CLAUDE_PLUGIN_ROOT no existe en desarrollo local, reintenta una sola vez con
python3 core/config_cli.py "$PWD" --headless solo si estás en el repo del
plugin. En modo headless, CONFIG_SUMMARY debe contener el marcador literal
CONFIG_HEADLESS_MENU.
Modo no interactivo / claude -p
Si esta invocación se está ejecutando en modo no interactivo/headless
(claude -p, SDK sin callback canUseTool, auditoría automatizada o cualquier
contexto donde no puedas recibir una selección del usuario en esta misma
llamada), no llames AskUserQuestion. En ese modo:
- devuelve
CONFIG_SUMMARYtal cual, sin reescribirlo con otra tabla; - no abras submenús;
- no termines con una pregunta abierta.
No esperes indefinidamente una respuesta humana en modo headless y no abras los
submenús de agentes opcionales ni memoria sin una selección real del usuario.
Si llamas a AskUserQuestion y la herramienta vuelve cancelada, sin selección,
sin respuesta utilizable o con cualquier señal de que el usuario no pudo elegir,
trátalo igual que modo headless: devuelve CONFIG_SUMMARY tal cual. No
conviertas esa cancelación en una pregunta abierta tipo "¿sobre qué sección
actúo?".
Presenta al usuario la configuración actual organizada en secciones:
- Autonomía por fase (
interactivo/semi-autonomo/autonomo): producto, arquitectura, desarrollo, calidad, documentacion, entrega - Proyecto (detectado o manual): runtime, lenguaje, framework, ORM, test runner, bundler
- Agentes opcionales: solo Lucius
- Memoria persistente: enabled, sync_to_native, sync_commits_limit, capture_decisions, capture_commits, retention_days
- Compliance: estilo, lint, format_on_save
- Integraciones: git, ci, deploy
- Personalidad: nivel_sarcasmo (1-5), verbosidad, idioma, celebrar_victorias, insultar_malas_practicas
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 · 166 lines · 23 tokens per session scan A 2f099bb74893
ajustes is a command published in the GitHub repository 686f6c61/alfred-dev (119 stars, last pushed 19d ago), licensed MIT. It adds 23 tokens to every session and 1,860 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 2026-08-30.
Other commands, from other repositories
e2e-test
Generate end-to-end tests using Playwright (web) and Detox (mobile). Covers user flows, visual regression, and cross-browser testing. Usage: /e2e-test [flow-name|--all] [--visual].
gen-brand
Generate complete brand identity with SVG logos, color system, typography, and design tokens. Claude writes SVG code directly — no API key needed. Usage: /gen-brand 'ProductName — description' or /gen-brand ./PRD.md.
init-project
Initialize a new or upgrade existing project with Alpha AI's standard architecture. Supports Python/FastAPI, Node.js/NestJS, Java/Spring Boot. Usage: /init-project [--lang=python|nestjs|springboot] [--with-frontend] [--with-mobile] [--with-ai] [--existing].
accessibility
Audit frontend for WCAG 2.1 AA compliance: check semantic HTML, ARIA labels, color contrast, keyboard navigation, screen reader support. Usage: /accessibility [page-or-component] [--fix] [--level=AA|AAA].
gen-ci
Generate CI/CD pipelines for GitHub Actions, GitLab CI, or Bitbucket Pipelines. Auto-detects stack from project. Usage: /gen-ci [github-actions|gitlab-ci|bitbucket] [--full].
gen-prd
Generate a detailed PRD from a brief idea, pre-configured for Alpha AI's tech stack. Supports Python/FastAPI, Node.js/NestJS, Java/Spring Boot backends. Usage: /gen-prd 'brief product idea' [--lang=python|nestjs|springboot].