sesori-plan-worker

Tinjau · 61
Diindeks di Registry

Execute plans and multi-step PR series end to end. Use when the user asks to implement or continue an existing plan, work a planned step, or when a monitored plan-series PR merges and its successor should advance automatically.

Verified installs0
Star105
Versi1.0.0
Kualitas66/100 · Menjanjikan
Kepercayaan61/100 · Hanya sandbox
Audit76/100 · Perlu ditinjau

Profil aset

Agent pemrograman dan pengembangan

Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.

Lihat kategori

Skenario

GitHub automation

I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.

Kecocokan Agent

Claude Code + CLI + Codex

Cocok untuk Codex, Claude Code, Cursor, CLI, atau Agent khusus.

Pasang

Siap

npx skills add sesori-ai/sesori_apps_monorepo --skill sesori-plan-worker

Pemeliharaan

Terkini

Diperbarui hari ini

Risiko

Perlu ditinjau

Permission surface may require sandboxing

Kualitas GitHub

105

66/100 Kualitas · 69/100 Kepercayaan

Tag cakupan

CodingGitHub automationautomationagent-skill

Catatan ulasan

Permission surface may require sandboxing · Financial research output is not financial advice; require human review before any live investment decision

Kartu adopsi Agent

Kepercayaan, audit, dan kesiapan pemasangan dalam sekali lihat

Skor ini menggabungkan metadata repositori publik, sinyal ulasan OpenAgentSkill, kebaruan pemeliharaan, dan kesiapan pemasangan. Ini adalah sinyal shortlist, bukan pengganti peninjauan manusia.

Kualitas

Menjanjikan
66

Useful candidate, but compare it with alternatives before adopting.

Kepercayaan

Hanya sandbox
61

Kandidat berguna dengan sinyal kepercayaan yang kurang atau bercampur. Gunakan di ruang kerja terisolasi hingga loop hasil membuktikan kecocokan tugas.

Audit

Perlu ditinjau
76

Tinjauan yang dapat dibaca mesin tentang kesiapan pemasangan, metadata keamanan, pemeliharaan, dan risiko adopsi.

Trust Score OpenAgentSkill v5

Tinjauan manusia sebelum pemasangan

Jalankan hanya dalam sandbox dan bandingkan alternatif terdekat sebelum digunakan untuk kerja nyata.

CodexClaude CodeCursorOpenAgentSkill CLI

Star

105 star GitHub

Aktivitas repositori

105 star dan 6 fork

Pemeliharaan

Diperbarui hari ini

Lisensi

NOASSERTION

Pasang

npx skills add sesori-ai/sesori_apps_monorepo --skill sesori-plan-worker

Keamanan pemasangan

Jalur pemasangan paket atau runtime standar

Cakupan izin

filesystem or document access, network or browser access

Hasil Agent

Belum ada data hasil Agent

Dokumentasi

Konteks README/SKILL.md kuat

Ringkasan risiko

Tinjau sebelum produksi

  • Repository license is NOASSERTION, indicating no clear license. This may affect reuse and attribution.
  • Financial research output is not financial advice; require human review before any live investment decision.
  • Quality score needs review
  • Permission surface needs review: filesystem or document access, network or browser access

Kesiapan pemasangan

Jalur pemasangan tersedia

  • Jalur pemasangan tersedia
  • Bukti repositori tersedia
  • Lisensi dinyatakan
  • Belum ada bukti hasil Agent-Proven

Metadata yang dapat dibaca Agent

Data keputusan yang dapat dibaca mesin untuk skill ini.

Gunakan blok ini atau JSON tersemat untuk memutuskan apakah Agent perlu memasang skill ini, memilih alternatif, atau meminta tinjauan manusia terlebih dahulu.

Buka JSON

Tugas yang sesuai

  • alur kerja Otomasi alur kerja
  • Tim Claude Code
  • builders willing to evaluate younger projects
  • Move data between tools

Agent yang sesuai

CodexClaude CodeCursorOpenAgentSkill CLICLI

Keputusan pemasangan

Perintah
npx skills add sesori-ai/sesori_apps_monorepo --skill sesori-plan-worker
Kebijakan
Tinjau
Tinjauan manusia
Ya

Kepercayaan dan risiko

Kepercayaan
61/100
Audit
76/100
Tingkat risiko
Perlu ditinjau

Lingkar hasil

Endpoint
/api/agent/outcome
ID event
resolve
Hasil
5

Perintah pemasangan

npx skills add sesori-ai/sesori_apps_monorepo --skill sesori-plan-worker

Jangan gunakan ketika

  • Tim yang membutuhkan SLA dengan dukungan vendor
  • production agents without a repository review
  • Repository license is NOASSERTION, indicating no clear license. This may affect reuse and attribution.
  • No OpenAgentSkill engagement data yet
  • Permission surface may require sandboxing

Keamanan Agent v2

56/100 · Tinjau sebelum memasang

EksperimentalTinjau

Sparse or mixed signals. Useful for discovery, but not for autonomous installation.

Test manually in an isolated workspace and compare against safer alternatives.

Selesaikan via API

Sedang

Akses jaringan

Skill kemungkinan mengambil halaman jarak jauh, API, repositori, atau layanan eksternal.

Sedang

Akses sistem file

Skill dapat membaca atau menulis file proyek, dokumen, artefak yang dihasilkan, atau status workspace lokal.

Sedang

Akses database

Skill dapat memeriksa skema, mengkueri database, atau bekerja dengan penyimpanan persisten.

  • Permission surface may require sandboxing

Target pemasangan

Pasang skill ini di alur Agent Anda

Gunakan endpoint publik untuk mengambil perintah, checklist keamanan, prompt target, dan tautan kanonis.

skill install

OpenAgentSkill CLI

Resolve policy, run the source installer safely, and report a verified install receipt.

$ npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install sesori-ai-sesori-plan-worker

Rencana resolusi Agent

Biarkan Agent memverifikasi kecocokan sebelum memasang.

API Resolve mengembalikan skill utama, alternatif, kebijakan keamanan, catatan audit, target pemasangan, dan prompt siap pakai.

Buka rencana teks

Agent harus memeriksa

  • Task fit and alternatives from Resolve API.
  • Audit score, trust score, and safety policy warnings.
  • Install target compatibility for Codex, Claude Code, Cursor, or CLI.

Salin prompt

Task: Use sesori-plan-worker in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20sesori-plan-worker%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/sesori-ai-sesori-plan-worker/install
Install command: npx skills add sesori-ai/sesori_apps_monorepo --skill sesori-plan-worker
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.

Serah-terima Agent

Berikan jalur pemasangan kepada Agent, bukan direktori lain.

Gunakan endpoint publik untuk mengambil perintah, checklist keamanan, prompt target, dan tautan kanonis.

Buka API pemasangan

Prompt Agent

Use sesori-plan-worker for this task. Review https://www.openagentskill.com/api/skills/sesori-ai-sesori-plan-worker/install, then install with: npx skills add sesori-ai/sesori_apps_monorepo --skill sesori-plan-worker

Metadata Registry

Profil yang dapat dibaca Agent untuk pemilihan skill otomatis.

API Registry menyediakan sinyal keputusan, kepercayaan, audit, use case, dan pemasangan tanpa mengikis UI.

Buka Manifest

Kecocokan Agent

65/100

Otomasi alur kerja

Platform

Claude Code

Laporan audit

Perlu ditinjau · 76/100

Tinjauan yang dapat dibaca mesin tentang kesiapan pemasangan, metadata keamanan, pemeliharaan, dan risiko adopsi.

Lihat laporan auditLihat laporan evaluasi

Panel keputusan Agent

Fallback candidate for Workflow automation

Prototype with this skill first; keep a fallback candidate ready.

65
Kesiapan
Prototipe
Tahap

Peran di stack

Kandidat cadangan

Kecocokan utama

Otomasi alur kerja

Label kepercayaan

Buat prototipe dulu

Jalur pemasangan

Perintah siap

Gunakan saat

  • alur kerja Otomasi alur kerja
  • Tim Claude Code
  • builders willing to evaluate younger projects

Bukti

  • recent repository activity
  • install command or GitHub repo available
  • profil kualitas 66/100

tinjau dulu

  • Repository license is NOASSERTION, indicating no clear license. This may affect reuse and attribution.
  • No OpenAgentSkill engagement data yet

Jalur implementasi

  1. 1Pasang di Agent sandbox dan jalankan satu tugas Otomasi alur kerja dari awal hingga akhir.
  2. 2Compare output quality, latency, and failure behavior against at least one alternative.
  3. 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.

Profil kepercayaan

Hanya sandbox

Kandidat berguna dengan sinyal kepercayaan yang kurang atau bercampur. Gunakan di ruang kerja terisolasi hingga loop hasil membuktikan kecocokan tugas.

61
Trust Score OpenAgentSkill

Adopsi GitHub

Info

105 star GitHub

Aktivitas star/fork

Periksa

105 star dan 6 fork; aktivitas issue tidak tersedia dalam metadata saat ini

Pemeliharaan terbaru

Lulus

Diperbarui hari ini

Kejelasan lisensi

Lulus

NOASSERTION

Sinyal positif

  • Tinjauan AI disetujui
  • Jalur pemasangan tersedia
  • Bukti repositori tersedia
  • Repositori yang baru dipelihara
  • Perintah pemasangan tidak memiliki pola berisiko tinggi yang jelas
  • Loop hasil siap tetapi membutuhkan eksekusi Agent nyata pertama

Tinjau sebelum memasang

  • Repository license is NOASSERTION, indicating no clear license. This may affect reuse and attribution.
  • Financial research output is not financial advice; require human review before any live investment decision.
  • Quality score needs review
  • Permission surface needs review: filesystem or document access, network or browser access
  • Stars/forks activity: 105 stars, 6 forks; issue activity unavailable in current metadata
  • Permission surface: filesystem or document access, network or browser access
  • Belum ada laporan hasil Agent nyata
  • Tinjauan manusia diperlukan sebelum pemasangan tanpa pengawasan

Tindakan yang disarankan

Jalankan hanya dalam sandbox dan bandingkan alternatif terdekat sebelum digunakan untuk kerja nyata.

Profil kualitas

Menjanjikan kandidat untuk alur kerja Agent

Useful candidate, but compare it with alternatives before adopting.

66
Star GitHub
105
Keterkinian
Hari ini
Siap dipasang
Ya
Lisensi
NOASSERTION
Tinjau sebelum memasang: Repository license is NOASSERTION, indicating no clear license. This may affect reuse and attribution.

Kecocokan alur kerja

Gunakan skill ini pada skenario berikut

Kecocokan alur kerja

Tambahkan ke alur kerja lengkap

Daftar alternatif

Bandingkan sebelum memasang

Similar skills that may fit this task.

Bandingkan semua

Ringkasan

--- name: sesori-plan-worker description: Execute plans and multi-step PR series end to end. Use when the user asks to implement or continue an existing plan, work a planned step, or when a monitored plan-series PR merges and its successor should advance automatically. ---

# Plan Worker

When this skill is loaded, your default role is to execute an existing plan, but the user's current instruction is authoritative. A plan is an editable guide, not a boundary on what you may do.

## User Direction

- Follow user requests whether or not they appear in the plan. - Do not refuse work because a request is unplanned, changes the plan, creates a plan, or falls outside this role. - Update `PLAN.md`, `TRACKER.md`, step files, or other planning artifacts when the user asks. You do not need to send plan edits back to the plan maker. - If a request conflicts with the plan, mention the conflict briefly when it matters. Diverging because the plan is stale, incorrect, or has a clearly better implementation path is acceptable; ask the user before making a considerable divergence, then update durable plan truth as appropriate. - Ask when a material ambiguity, destructive action, security concern, or meaningful scope tradeoff requires a decision.

## Execution

1. Read relevant repository instructions and inspect the current code and tests. 2. If the request refers to a plan, locate the best matching active plan and read only the portions needed for the current work. Ask which plan only when the match is genuinely ambiguous. 3. Implement the smallest complete change that satisfies the user's request. 4. Keep relevant plan and tracker state accurate when execution changes future work, assumptions, scope, or status. 5. Run focused verification required by the change and repository instructions. 6. Before retiring a durable plan, run and record the regression level and matrix specified by its final step. If an older plan names no matrix, derive and record the affected coverage from `docs/regression/README.md` first. Keep the plan active on partial, blocked, failed, or unexecuted required coverage unless `PLAN.md` records the user's explicit acceptance of that limitation. 7. Report the result, verification, and any unresolved risk or blocker.

Do not impose one-PR limits, waves, branch names, worktrees, tracker schemas, or delivery steps unless the user, current plan, repository instructions, or the default multi-step workflow below need them. Never create or switch worktrees automatically. Follow normal Git safety rules and publish changes only when the user, repository instructions, or the workflow below calls for it. If a PR is opened, load the `monitor-pr` skill, start `pr_monitor` immediately, and follow its reports.

## One-Step-Ahead Multi-PR Execution

Unless the user says otherwise, keep one plan-series PR open and work at most one successor step locally:

- While Step `x` is in PR, create a new local branch for Step `x + 1`, start it without waiting for another request, and keep it local until Step `x` merges. - Do not start Step `x + 2` until Step `x + 1` is in PR. - Pause local successor work as needed to address Step `x` monitor reports. - Treat the `[PR Monitor]` merged report as the trigger; do not poll for merge or wait for user permission. Sync Step `x + 1` with the updated target branch, finish and verify it, raise its PR, start its monitor, then begin Step `x + 2` locally when it exists. - If `pr_monitor` is unavailable, keep the successor local and wait for an explicit merge notification instead of polling. - Do not advance after a PR closes without merging. Preserve work and report any blocker that prevents the handoff.

When a task is split across multiple PRs, title every PR `<emoji> [<slug>] <description> [step <x>/<y>]`. For durable planned work, `<slug>` is exactly the plan directory name under `.plan`; do not derive it from the branch, title, or stage. Without a durable plan, choose one stable, lowercase kebab-case slug. Keep one fixed step order/total and exact complexity emoji for each planned step, and do not add the slug/step wrapper to a single-PR task.

## PR Complexity and Communication

Assign every PR one implementation-complexity level using this fixed scale:

- `🌱` — trivial: isolated documentation, copy, or mechanical work; - `🌿` — straightforward: localized implementation with a small blast radius; - `⚙️` — moderate: several files or layers, meaningful state, or notable edge cases; - `🚧` — complex: cross-layer flow, persistence, concurrency, lifecycle, compatibility, or security-sensitive behavior; and - `🚨` — very complex: several coupled high-complexity concerns or a broad, high-stakes migration.

Complexity is implementation/review difficulty, not the risk rating. Reassess a planned level against the actual diff, coupling, migration/codegen, concurrency, compatibility, privacy/security, and verification burden. If it changes, update the durable plan/tracker before opening the PR. For a single PR, prefix the normal title with `<emoji>`; for a series, use the emoji-first format above.

Every PR body you create or materially update must contain concise Markdown sections with these headings:

- `## Complexity` — the emoji, label, and a one-sentence rationale; - `## What` — what was changed; - `## Why` — why it was changed; - `## Risk and test focus` — risk level, potentially impacted flows, screens, data, integrations, or functionality, plus the most valuable checks; and - `## Expected result` — expected user-visible behavior, database/persisted-data effects, and internal/refactor-only effects.

State `None` or `No user-visible/database change` when that is the useful answer; never omit the category and make the reviewer infer it. Keep existing verification details as an additional section. Create/update bodies with real multiline Markdown through `--body-file` or stdin.

## Cleanup During Execution

Before finalizing each feature PR, inspect what its implementation makes obsolete: calculations/data generation, model or transport fields, database columns, caches, flags/settings, jobs/watchers/listeners, compatibility paths, UI state, tests, and docs. Re-check the plan's cleanup assessment and add newly discovered causal cleanup to durable plan truth.

Implement small, safe cleanup directly caused by the feature when it keeps the PR coherent. Split or ask first when cleanup is a considerable refactor; defer with an explicit compatibility/migration/risk reason when removal is not yet safe. Do not retain dead artifacts solely as an audit trail when Git history is sufficient, and do not use cleanup as a reason for unrelated scope expansion.

## Plan Review

Use `architecture-plan-review` only for a new architecture-bearing production plan that has not already been reviewed. Ask a sub-agent to perform the review using the skill. Apply valid findings directly without re-reviewing those fixes. A too-vague rejection may be reviewed once more after clarification; if it is rejected as too vague again, ask the user how to proceed. Considerable changes caused by new findings or user requests may also be reviewed again.

## Implementation Review

Use `architecture-implementation-review` only when production changes alter actual architecture: new or moved classes/files, dependency or DI ownership, public or persisted contracts, cross-layer flow, lifecycle ownership, or shared boundaries. Ask a sub-agent to perform the review using the skill. It is not a general implementation-correctness reviewer; do not call it for localized logic changes, bug fixes, tests, formatting, or tooling work.

Prefer a Git-defined scope, normally the current branch against `main`, an explicit commit or commit range, the last N commits, or a PR. File or directory scopes are also acceptable when they are more useful. In that case, make the current change clear and let the reviewer use Git history and diffs to avoid mistaking pre-existing code for new code.

Run up to two implementation-review passes before seeking user guidance:

1. Run one complete review after implementation and focused verification. 2. Fix valid findings that are clearly within the current request. 3. Use a second review only when useful after those fixes.

Avoid a review loop. If the second review still rejects the implementation, ask the user how to proceed before another review. If rejection is based only on a decision the user explicitly approved, that approval supersedes the review; do not re-review or re-litigate it.

Do not let review trigger a broad cleanup. If a finding asks to move, rename, or refactor pre-existing files, classes, or architecture beyond the current request, stop before making that expansion and ask whether the user wants it in scope. Explain the impact and any smaller in-scope alternative. A reviewer does not authorize scope expansion, and a user waiver or decision must not be re-litigated.

## Working Style

Be pragmatic and flexible. Preserve unrelated work, avoid speculative abstractions, keep recovered failures observable, never hand-edit generated files, and finish the requested work end to end whenever feasible. Add tests only when they provide meaningful confidence.

Edge cases are infinite and completeness is not the goal. Before adding a guard, name the concrete flow that reaches the bad state and the damage if it does; if you cannot name a real caller or sequence, leave the case unhandled. "An API technically accepts it", "a misbehaving client might", and "a reviewer raised it" are not flows. Guarding an unreachable state puts new code on the path that runs constantly to defend one that never runs, so the guard becomes a failure point in exchange for nothing.

Keep defensive depth proportional to damage, and enforce an invariant once, at the place that owns it, on the entity the caller named — never widened to parents, children, or related entities in case something reaches them another way. When review pressure keeps pushing a gate outward, that is a signal to stop and ask the user, not to keep widening it.

Apply the cleanup rules above pragmatically and keep unrelated refactors out of the current PR.

Detail teknis

Versi
1.0.0
Lisensi
NOASSERTION
Pembaruan terakhir
22 Agu 2026
Diterbitkan
22 Agu 2026

Ringkasan keputusan

Kandidat cadangan

65
Siap
Prototipe
Tahap

recent repository activity

Audit

Tinjauan pemasangan

Tinjauan pemasangan dan adopsi

76
Perlu ditinjau
Keamanan
77/100
Pemeliharaan
100/100
Pasang
92/100
Buka audit lengkapLihat laporan evaluasi

Bukti tervalidasi Agent

Bukti tervalidasi Agent

Laporan hasil setelah resolve, tinjau, pasang, dan satu eksekusi terbatas.

0
Terbukti
Needs first agent runPasang otomatis: tinjau duluTerakhir: Tidak diketahui
Tingkat sukses
Kegagalan terbaru
Hasil
0
Kualitas output
Gagal
0
Tidak relevan
0
Pemasangan
0
Diblokir risiko
0
Perlu penyiapan
0
Produksi
0

Belum ada data hasil Agent. Eksekusi pertama dapat melaporkan keberhasilan, kebutuhan setup, blok risiko, kegagalan, atau tidak relevan melalui /api/agent/outcome.

Pasang

Tambahkan ke alur Agent

Gratis dan sumber terbuka. Tinjau laporan sebelum memasang pada Agent produksi.

Siklus pertumbuhan

Kit berbagi

X

Draf berbasis skenario untuk sesori-plan-worker, siap untuk posting manual di X.

Catatan kurator
sesori-plan-worker: Execute plans and multi-step PR series end to end. Use when the user asks to implement or con...

105 stars

https://www.openagentskill.com/skills/sesori-ai-sesori-plan-worker?ref=x
Buka draf X
Balasan opsional dengan perintah pemasangan
Listing + install path for sesori-plan-worker:
https://www.openagentskill.com/skills/sesori-ai-sesori-plan-worker?ref=x

Install: npx skills add sesori-ai/sesori_apps_monorepo --skill sesori-plan-worker
Buka draf balasan

Sumber listing

Diindeks Registry

Dapat diklaim

Listing ini diindeks dari sumber publik dan belum ditandai resmi hingga klaim pemelihara disetujui.

Kreator
sesori-ai
Diindeks oleh
Indeks komunitas OpenAgentSkill

Atribusi menautkan ke repositori publik atau profil kreator. Kreator dapat mengklaim listing untuk memperbarui sinyal kepemilikan.

Klaim skill ini

Klaim pemilik

Klaim listing skill ini

Listing Diindeks Registry ini dikaitkan dengan sesori-ai, tetapi belum ditandai resmi. Klaim untuk menambahkan sinyal pemilik terverifikasi dan membuat pembaruan peluncuran, pemasangan, serta audit berikutnya lebih tepercaya.

Kit backlink kreator

Tambahkan badge bukti ke README Anda

Tampilkan listing kanonis, sinyal kepercayaan dan audit saat ini, serta bukti Agent-Proven nyata di tempat pengembang mengevaluasi repositori.

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/sesori-ai-sesori-plan-worker?metric=listed&label=Listed)](https://www.openagentskill.com/skills/sesori-ai-sesori-plan-worker)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/sesori-ai-sesori-plan-worker?metric=trust&label=Trust)](https://www.openagentskill.com/skills/sesori-ai-sesori-plan-worker)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/sesori-ai-sesori-plan-worker?metric=audit&label=Audit)](https://www.openagentskill.com/skills/sesori-ai-sesori-plan-worker/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/sesori-ai-sesori-plan-worker?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/sesori-ai-sesori-plan-worker)

Penulis

S

sesori-ai

@sesori-ai

Kecocokan platform

Sinyal kesehatan

Star GitHub
105
Skor kualitas
37/100
Push GitHub terakhir
22 Agu 2026
Petunjuk framework
Tidak diketahui
Tampilan OpenAgentSkill
0
Salinan pemasangan
0
Klik keluar
0

Sinyal komunitas

Bagikan apakah skill ini bermanfaat untuk alur kerja Agent Anda. Masukan gabungan meningkatkan peringkat dari waktu ke waktu.

Kepercayaan & keamanan

Hanya sandbox

61
  • Adopsi GitHub105 star GitHubInfo
  • Aktivitas star/fork105 star dan 6 fork; aktivitas issue tidak tersedia dalam metadata saat iniPeriksa
  • Pemeliharaan terbaruDiperbarui hari iniLulus
  • Kejelasan lisensiNOASSERTIONLulus
  • Kelengkapan README/SKILL.mdMetadata memuat konteks penggunaan dan alur kerja yang cukupLulus
  • Risiko dependensi/runtimenetwork or browser surface, database surfaceInfo