Muestra el estado de adopción de Magpie en un repositorio, incluyendo métodos de instalación, desajustes de versión, objetivos de agentes y familias de skills.
- Estrellas en GitHub
- 145
- Archivos
- 5
- Último commit
- 12 nov 2026
- Licencia
- Apache-2.0
- Herramientas permitidas
- —
¿Qué hace la skill status?
status es una agent skill. Muestra el estado de adopción de Magpie en un repositorio, incluyendo métodos de instalación, desajustes de versión, objetivos de agentes y familias de skills.
Resumen generado a partir del SKILL.md de la skill.
Sobre la skill status
La función principal de esta skill es monitorear cómo está integrado Magpie en un repositorio. Proporciona un panel completo para que los operadores verifiquen los métodos de instalación, el bloqueo de versiones y si el snapshot local se ha desajustado respecto al archivo lock confirmado. También identifica qué objetivos de agentes están conectados, qué familias de skills están instaladas actualmente y el estado de los symlinks existentes.
Un agente debe cargar esta skill cuando un usuario necesite entender la configuración actual de Magpie o quiera verificar si el entorno está sincronizado. Aunque la skill es de solo lectura y utiliza un script recolector basado en Python para obtener el estado del disco, facilita la reconfiguración al proponer cambios. Cualquier mutación real, como añadir objetivos o actualizar familias, se delega a la skill de setup para garantizar una única fuente de verdad. Evita duplicar auditorías profundas de integridad redirigiendo a los usuarios a la herramienta setup verify.
Lo que un agente puede hacer con ella
- 1Comprobar el estado de adopción de MagpieUn operador puede ver un único panel para consultar el método de instalación actual, los bloqueos de versión y las familias de skills instaladas.
- 2Identificar desajustes de versiónLa skill compara el lock de la máquina local con el lock confirmado del proyecto para encontrar discrepancias.
- 3Reconfigurar objetivos de agentesLos usuarios pueden proponer y confirmar cambios en los objetivos de agentes conectados o en las familias de skills a través de la interfaz del panel.
Escrito a partir del SKILL.md de la skill. Cada caso de uso se verifica con una cita del mismo.
Cómo instalar la skill status
Cada comando copia la carpeta de la skill al directorio de skills del cliente. Reinicia el cliente o inicia una nueva sesión para cargarla.Instalar la skill status en Plugin
/plugin marketplace add apache/magpie /plugin install magpie-setup@apache-magpie
Instalar la skill status en Claude Code
~/.claude/skills/status/SKILL.md
$ npx degit apache/magpie/plugins/magpie-setup/skills/status ~/.claude/skills/statusInstalar la skill status en Claude Code (project)
.claude/skills/status/SKILL.md
$ npx degit apache/magpie/plugins/magpie-setup/skills/status .claude/skills/statusInstalar la skill status en Codex
~/.agents/skills/status/SKILL.md
$ npx degit apache/magpie/plugins/magpie-setup/skills/status ~/.agents/skills/statusInstalar la skill status en Gemini CLI
~/.gemini/skills/status/SKILL.md
$ npx degit apache/magpie/plugins/magpie-setup/skills/status ~/.gemini/skills/statusInstalar la skill status en Claude.ai
npx degit apache/magpie/plugins/magpie-setup/skills/status status && zip -r status.zip status # claude.ai → Customize → Skills → + → Create skill → Upload a skill → status.zip
Verificaciones automáticas
Ejecutado 14 nov 2026Informe completo →Superó nuestras comprobaciones automáticas. No es una auditoría de seguridad: lee los scripts antes de dejar que un agente los ejecute. Cómo funcionan las verificaciones
- Repositorio de origen vinculado y accesibleapache/magpie/plugins/magpie-setup/skills/status is public and reachablegithub.com/apache/magpie/tree/HEAD/plugins/magpie-setup/skil ↗Aprobado
- Licencia de código abierto (OSI)Apache-2.0spdx.org/licenses/Apache-2.0.html ↗Aprobado
- Commit o lanzamiento en el último añoLast commit 2026-11-12github.com/apache/magpie/commits ↗Aprobado
- Sin descargar y ejecutar ni robo de credenciales en los scripts1 script read; no download-and-run, remote eval, base64 execution or credential uploadAprobado
- Sin instrucciones ocultas en SKILL.mdNo override phrases, safeguard switches, credential requests or hidden charactersgithub.com/apache/magpie/blob/HEAD/plugins/magpie-setup/skil ↗Aprobado
- Las herramientas preaprobadas están acotadasNo pre-approved tools; the agent asks before using onegithub.com/apache/magpie/blob/HEAD/plugins/magpie-setup/skil ↗Aprobado
- SKILL.md sigue el formato de Agent Skillsthe description does not say when to use the skillgithub.com/apache/magpie/blob/HEAD/plugins/magpie-setup/skil ↗Hallazgo
SKILL.md
Ver en GitHubsetup-status
Render a one-glance picture of how apache-magpie is adopted in this repo, then let the user reconfigure it without leaving the view. The dashboard answers the questions an operator actually asks: which install method and version are pinned, has the snapshot drifted, which agent targets are wired, which skill families are installed, and are the symlinks healthy.
This skill is the configuration view of adoption. It is read-
only on its own; every change it offers is carried out by
delegating to setup — the one skill
that owns adoption mutation. For a deep integrity / health
check (lock parsing, per-check ✓/✗ matrix, permission-hygiene
audit, ASF comdev MCP prerequisites, stale-worktree sweep), use
setup verify; this skill links to
it rather than duplicating its checks.
Adopter overrides
Before running its default behaviour, this skill consults
setup-status.md in the personal layer
(.apache-magpie-local/ when the project adopted Magpie, falling back to the main checkout's in a linked worktree,
or <git-common-dir>/apache-magpie/ when Magpie is only installed; applied first, wins on conflict) and
.apache-magpie-overrides/setup-status.md (committed, project-wide)
in the adopter repo, if present, and applies any agent-readable overrides it finds.
See docs/setup/agentic-overrides.md for the contract.
Hard rule: agents NEVER modify the snapshot under <adopter-repo>/.apache-magpie/.
Local modifications go in the override file; framework changes go via PR to apache/magpie.
Snapshot drift
Also at the top of every run, this skill compares the gitignored
.apache-magpie.local.lock (per-machine fetch) against the
committed .apache-magpie.lock (the project pin). On mismatch the
skill surfaces the gap and proposes
setup update. The proposal is
non-blocking; surfacing the drift is itself part of this skill's
dashboard, so the comparison feeds Step 1
rather than gating the run.
Inputs
Skill directives (how the user invokes the skill):
| Input | Effect |
|---|---|
| (none) | Render the dashboard, then offer adjustments interactively. |
--no-adjust |
Render only; skip the reconfigure offer. |
adjust |
Skip straight to the reconfigure flow after a brief state recap. |
Collector flags (passed through to
scripts/collect_status.py):
| Flag | Effect |
|---|---|
--repo <path> |
Inspect a repo other than the current git top-level. |
--format md |
The Markdown dashboard (default). |
--format json |
The raw machine-readable fields (collect.md); add --pretty to indent. |
The default output is the Markdown dashboard, rendered deterministically by the collector.
Prerequisites
- A git checkout (
git rev-parse --show-toplevelsucceeds), or an explicit--repo <path>. python3onPATHfor the deterministic collector (scripts/collect_status.py). No third-party packages, no network access.
This skill reads only framework-internal, on-disk state (lock
files, symlinks, .gitignore, the post-checkout hook). It reads
no external or private content, so the prompt-injection and
Privacy-LLM gate-checks do not apply.
Step 0 — Pre-flight check
- Resolve the repo root (
--repoif given, elsegit rev-parse --show-toplevel). - Apply adopter overrides and the drift preamble above.
- Adopted? If
<committed-lock>(.apache-magpie.lock) is absent, the repo is not adopted. Say so, point atsetupto adopt, and stop — there is no state to render.
Step 1 — Render the dashboard
The collector renders the dashboard itself. Run it (it never writes and never fetches):
python3 <framework>/skills/setup-status/scripts/collect_status.py
(From a normal adopter the script lives under the snapshot at
.apache-magpie/skills/setup-status/scripts/; invoke it via the
magpie-setup-status symlink's resolved path. The default output
is the Markdown dashboard; pass --format json only when tooling
needs the raw fields — see collect.md.)
OUTPUT CONTRACT — non-negotiable. Present the script's Markdown output verbatim (it is already GitHub-flavoured Markdown — let the harness render the pipe table). Do not: re-draw it as a box-drawing/ASCII table; drop the
servesbullet legend (it carries the agents each directory serves, including the wholeuniversalcluster); add a Reads column back into the table (that is what made it wrap and break); recompute the verdict; or "prettify" the layout. The script, not the agent, owns the rendering, precisely because an LLM formatting pass reliably mangles it (drops the agents-served legend, renames columns, re-introduces the wide column). If you find yourself rebuilding the table, stop and paste the script output instead.
The renderer owns the headline, the agent-target table plus its
serves legend (so the universal cluster and every registry
vendor always appear), the family roster, and the drift /
integrity summary.
Full layout reference, the health-verdict rules, and mode-aware
interpretation: render.md.
Step 2 — Interpret (lightly)
After printing the verbatim dashboard, optionally add a one-line
mode-aware note where it helps — without re-tabulating or
contradicting the script output. Example: a method:local
framework checkout commits its symlinks and has no snapshot or
local lock, so the absent snapshot is healthy there but a fault
for a normal adopter (render.md).
Step 3 — Offer adjustments
Unless --no-adjust was passed, end the dashboard with the
reconfigure offer. Detect the obvious deltas (a registry target
present on disk but not wired; an opt-in family not installed;
dangling symlinks; drift) and present each as a concrete,
confirmable change. On confirmation, delegate to
setup with the right flags
(agents:<list>, skill-families:<list>, or update) — this
skill never edits symlinks, locks, or .gitignore itself.
Full gap-detection and delegation rules: adjust.md.
Hard rules
- Read-only on its own; mutation only via setup. This skill
never writes a symlink, a lock file, or
.gitignore. Every change is delegated tosetup, preserving the framework's single source of truth for adoption mutation. - Propose before applying. Each adjustment is a proposal the
user explicitly confirms before the delegated
setuprun starts. No silent reconfiguration. - Do not duplicate
verify. For deep integrity, permission hygiene, comdev-MCP prerequisites, and the stale-worktree sweep, point the user atsetup verifyrather than re-implementing those checks here. - Never invent state. Report only what the collector observed. If a field is unknown (e.g. upstream-tip drift needs network), say it was not checked and name the skill that does check it.
References
collect.md— the collector's JSON field reference.render.md— dashboard layout, health-verdict rules, mode-aware interpretation.adjust.md— gap detection and the delegation contract tosetup.scripts/collect_status.py— the deterministic, read-only state collector.setup— adoption mutation:install.md,update.md, theagents.mdtarget registry, and the Golden rules.setup verify— the deep integrity / health check this dashboard complements.AGENTS.md— framework conventions and the placeholder convention.docs/setup/agentic-overrides.md— the override contract every skill consults.
Archivos de esta skill
5Preguntas sobre la skill status
¿Cómo instalo la skill status en Claude Code?
Ejecuta npx degit apache/magpie/plugins/magpie-setup/skills/status ~/.claude/skills/status. Claude Code carga las skills desde ~/.claude/skills (todos los proyectos) o .claude/skills (un proyecto) y usa una skill cuando su descripción coincide con la tarea.
¿Qué clientes pueden usar la skill status?
Cualquier cliente que lea el formato Agent Skills: Claude Code, Codex, Gemini CLI y claude.ai (subir como ZIP). Los scripts de la skill se ejecutan solo donde el cliente permite la ejecución de código.
¿Qué información proporciona el panel de estado?
El panel muestra el método de instalación y el bloqueo de versión, el desajuste del snapshot, los objetivos de agentes conectados, las familias de skills instaladas y la salud de los symlinks.
¿Puede esta skill modificar la configuración del repositorio?
No, esta skill es de solo lectura. Cualquier cambio en la configuración se delega a la skill de setup.
¿Cómo puedo realizar una comprobación profunda de integridad y salud?
Para una comprobación profunda de integridad o salud que incluya el análisis de archivos lock y auditorías de permisos, debes usar la skill setup verify.
¿Requiere esta skill acceso a la red?
No, el script recolector no requiere acceso a la red y solo lee el estado en el disco.