Menampilkan status adopsi Magpie dalam sebuah repository, termasuk metode instalasi, version drift, target agent, dan skill families.
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- 12 Nov 2026
- Lisensi
- Apache-2.0
- Tool yang diizinkan
- —
Apa fungsi skill status?
status adalah agent skill. Menampilkan status adopsi Magpie dalam sebuah repository, termasuk metode instalasi, version drift, target agent, dan skill families.
Ringkasan dibuat dari SKILL.md skill ini.
Tentang skill status
Fungsi utama dari skill ini adalah memantau bagaimana Magpie terintegrasi ke dalam sebuah repository. Skill ini menyediakan dashboard komprehensif bagi operator untuk memeriksa metode instalasi, version pinning, dan apakah snapshot lokal telah mengalami drift dari lock file yang telah di-commit. Skill ini juga mengidentifikasi target agent mana yang sudah terhubung, skill families mana yang saat ini terinstal, serta kesehatan dari symlink yang ada.
Seorang agent harus memuat skill ini saat pengguna perlu memahami setup Magpie saat ini atau ingin memverifikasi apakah lingkungan sudah sinkron. Meskipun skill ini bersifat read-only dan mengandalkan script collector berbasis Python untuk mengumpulkan status pada disk, skill ini memfasilitasi rekonfigurasi dengan cara mengusulkan perubahan. Setiap mutasi aktual, seperti menambah target atau memperbarui families, didelegasikan ke setup skill untuk memastikan adanya single source of truth. Skill ini menghindari duplikasi audit integritas mendalam dengan mengarahkan pengguna ke tool setup verify sebagai gantinya.
Apa yang bisa dilakukan agent dengannya
- 1Cek status adopsi MagpieOperator dapat melihat satu dashboard untuk mengetahui metode instalasi saat ini, version pins, dan skill families yang terinstal.
- 2Identifikasi version driftSkill ini membandingkan lock pada mesin lokal terhadap lock proyek yang telah di-commit untuk menemukan ketidakcocokan.
- 3Konfigurasi ulang target agentPengguna dapat mengusulkan dan mengonfirmasi perubahan pada target agent yang terhubung atau skill families melalui antarmuka dashboard.
Ditulis dari SKILL.md milik skill tersebut. Setiap use case diverifikasi dengan kutipan darinya.
Cara install skill status
Setiap perintah menyalin folder skill ke direktori skills client. Restart client atau mulai sesi baru untuk memuatnya.Install skill status di Plugin
/plugin marketplace add apache/magpie /plugin install magpie-setup@apache-magpie
Install skill status di Claude Code
~/.claude/skills/status/SKILL.md
$ npx degit apache/magpie/plugins/magpie-setup/skills/status ~/.claude/skills/statusInstall skill status di Claude Code (project)
.claude/skills/status/SKILL.md
$ npx degit apache/magpie/plugins/magpie-setup/skills/status .claude/skills/statusInstall skill status di Codex
~/.agents/skills/status/SKILL.md
$ npx degit apache/magpie/plugins/magpie-setup/skills/status ~/.agents/skills/statusInstall skill status di Gemini CLI
~/.gemini/skills/status/SKILL.md
$ npx degit apache/magpie/plugins/magpie-setup/skills/status ~/.gemini/skills/statusInstall skill status di 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
Pengecekan otomatis
Berjalan 14 Nov 2026Laporan lengkap →Lolos cek otomatis kami. Ini bukan audit keamanan: baca skripnya sebelum membiarkan agent menjalankannya. Cara kerja checks
- Source repository terhubung dan dapat dijangkauapache/magpie/plugins/magpie-setup/skills/status is public and reachablegithub.com/apache/magpie/tree/HEAD/plugins/magpie-setup/skil ↗Lolos
- Lisensi open source (OSI)Apache-2.0spdx.org/licenses/Apache-2.0.html ↗Lolos
- Ada commit atau release dalam satu tahun terakhirLast commit 2026-11-12github.com/apache/magpie/commits ↗Lolos
- Skrip tanpa unduh-lalu-jalankan atau pencurian kredensial1 script read; no download-and-run, remote eval, base64 execution or credential uploadLolos
- Tidak ada instruksi tersembunyi di SKILL.mdNo override phrases, safeguard switches, credential requests or hidden charactersgithub.com/apache/magpie/blob/HEAD/plugins/magpie-setup/skil ↗Lolos
- Tool yang diizinkan otomatis dibatasiNo pre-approved tools; the agent asks before using onegithub.com/apache/magpie/blob/HEAD/plugins/magpie-setup/skil ↗Lolos
- SKILL.md mengikuti format Agent Skillsthe description does not say when to use the skillgithub.com/apache/magpie/blob/HEAD/plugins/magpie-setup/skil ↗Temuan
SKILL.md
Lihat di 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.
Berkas dalam skill ini
5Pertanyaan seputar skill status
Bagaimana cara install skill status di Claude Code?
Jalankan npx degit apache/magpie/plugins/magpie-setup/skills/status ~/.claude/skills/status. Claude Code memuat skill dari ~/.claude/skills (semua proyek) atau .claude/skills (satu proyek) dan menggunakan skill saat deskripsinya cocok dengan tugas.
Client mana saja yang bisa menggunakan skill status?
Client apa pun yang membaca format Agent Skills: Claude Code, Codex, Gemini CLI, dan claude.ai (unggah sebagai ZIP). Script dalam skill hanya berjalan di client yang mengizinkan eksekusi kode.
Informasi apa saja yang disediakan oleh dashboard status ini?
Dashboard ini menampilkan metode instalasi dan version pin, snapshot drift, target agent yang terhubung, skill families yang terinstal, serta kesehatan symlink.
Apakah skill ini dapat mengubah konfigurasi repository?
Tidak, skill ini bersifat read-only. Segala perubahan pada konfigurasi didelegasikan ke setup skill.
Bagaimana cara melakukan pengecekan integritas dan kesehatan secara mendalam?
Untuk pengecekan integritas atau kesehatan mendalam yang melibatkan parsing lock dan audit izin, Anda harus menggunakan setup verify skill.
Apakah skill ini memerlukan akses jaringan?
Tidak, script collector tidak memerlukan akses jaringan dan hanya membaca status pada disk.