demand-first-review

Kuat · 83
Diindeks di Registry

Use when reviewing a PR, API, IPC channel, endpoint, parameter, type, config, or architectural extension point that adds or expands shared surface area, especially when consumers are absent, exports are unused or speculative, existing consumers are hack-heavy, forward compatibili

Verified installs0
Star50.9K
Versi1.0.0
Kualitas94/100 · Sangat baik
Kepercayaan83/100 · Tinjau sebelum memasang
Audit91/100 · Aman untuk dicoba

Profil aset

Riset dan pekerjaan pengetahuan

Deep research, source comparison, literature review, RAG, knowledge search, and reports.

Lihat kategori

Skenario

Agent riset

I need my agent to research a topic, compare sources, and produce a concise report.

Kecocokan Agent

Claude Code + CLI + Codex

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

Pasang

Siap

npx skills add CherryHQ/cherry-studio --skill demand-first-review

Pemeliharaan

Terkini

Diperbarui hari ini

Risiko

Aman untuk dicoba

No major risk signals from available metadata

Kualitas GitHub

51K

94/100 Kualitas · 86/100 Kepercayaan

Tag cakupan

RisetAgent risetagent-skill

Catatan ulasan

No major risk signals from available metadata

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

Sangat baik
94

High-confidence pick with strong adoption and healthy maintenance signals.

Kepercayaan

Tinjau sebelum memasang
83

Sinyal shortlist yang baik, tetapi Agent harus meninjau catatan audit, kebijakan pemasangan, dan bukti hasil sebelum menjalankannya.

Audit

Aman untuk dicoba
91

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

Trust Score OpenAgentSkill v5

Kandidat pemasangan Agent

Gunakan sebagai kandidat utama setelah tinjauan manusia atau sandbox.

CodexClaude CodeCursorOpenAgentSkill CLI

Star

51K star GitHub

Aktivitas repositori

51K star dan 4.8K fork

Pemeliharaan

Diperbarui hari ini

Lisensi

AGPL-3.0

Pasang

npx skills add CherryHQ/cherry-studio --skill demand-first-review

Keamanan pemasangan

Jalur pemasangan paket atau runtime standar

Cakupan izin

network or browser access, database access

Hasil Agent

Belum ada data hasil Agent

Dokumentasi

Konteks README/SKILL.md kuat

Ringkasan risiko

Risiko metadata rendah

  • No major trust warnings detected from available metadata

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 Agent riset
  • Tim Claude Code
  • Tim yang menghargai sinyal adopsi GitHub
  • Sumber pencarian

Agent yang sesuai

CodexClaude CodeCursorOpenAgentSkill CLICLI

Keputusan pemasangan

Perintah
npx skills add CherryHQ/cherry-studio --skill demand-first-review
Kebijakan
Izinkan
Tinjauan manusia
Tidak

Kepercayaan dan risiko

Kepercayaan
83/100
Audit
91/100
Tingkat risiko
Aman untuk dicoba

Lingkar hasil

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

Perintah pemasangan

npx skills add CherryHQ/cherry-studio --skill demand-first-review

Jangan gunakan ketika

  • Tim yang membutuhkan SLA dengan dukungan vendor
  • Lingkungan berkompliansi tinggi tanpa tinjauan keamanan internal
  • No major risk signals from current metadata
  • No major trust warnings detected from available metadata
  • Production credentials, payments, or irreversible account changes without explicit human review

Keamanan Agent v2

83/100 · Aman dipasang dengan tinjauan normal

DitinjauIzinkan

Sinyal audit dan keamanan baik tanpa petunjuk izin berisiko tinggi dalam metadata publik.

Tinjau halaman audit, lalu izinkan pemasangan Agent dalam alur kerja sandbox.

Selesaikan via API

Sedang

Akses jaringan

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

Sedang

Akses database

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

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 cherryhq-demand-first-review

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 demand-first-review in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20demand-first-review%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/cherryhq-demand-first-review/install
Install command: npx skills add CherryHQ/cherry-studio --skill demand-first-review
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 demand-first-review for this task. Review https://www.openagentskill.com/api/skills/cherryhq-demand-first-review/install, then install with: npx skills add CherryHQ/cherry-studio --skill demand-first-review

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

100/100

Agent riset

Platform

Claude Code

Laporan audit

Aman untuk dicoba · 91/100

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

Lihat laporan auditLihat laporan evaluasi

Panel keputusan Agent

Pilihan utama untuk Agent riset

Use this as a leading candidate, then validate the README and install path in your own agent stack.

100
Kesiapan
Adopsi
Tahap

Peran di stack

Pilihan utama

Kecocokan utama

Agent riset

Label kepercayaan

Siap produksi

Jalur pemasangan

Perintah siap

Gunakan saat

  • Alur kerja Agent riset
  • Tim Claude Code
  • Tim yang menghargai sinyal adopsi GitHub

Bukti

  • 50,908 star GitHub
  • recent repository activity
  • install command or GitHub repo available
  • profil kualitas 94/100
  • 6 event interaksi OpenAgentSkill

tinjau dulu

  • No major risk signals from current metadata

Jalur implementasi

  1. 1Pasang di Agent sandbox dan jalankan satu tugas Agent riset 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

Tinjau sebelum memasang

Sinyal shortlist yang baik, tetapi Agent harus meninjau catatan audit, kebijakan pemasangan, dan bukti hasil sebelum menjalankannya.

83
Trust Score OpenAgentSkill

Adopsi GitHub

Lulus

51K star GitHub

Aktivitas star/fork

Lulus

51K star dan 4.8K fork; aktivitas issue tidak tersedia dalam metadata saat ini

Pemeliharaan terbaru

Lulus

Diperbarui hari ini

Kejelasan lisensi

Lulus

AGPL-3.0

Sinyal positif

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

Tinjau sebelum memasang

  • Belum ada laporan hasil Agent nyata
  • Tinjauan manusia diperlukan sebelum pemasangan tanpa pengawasan

Tindakan yang disarankan

Gunakan sebagai kandidat utama setelah tinjauan manusia atau sandbox.

Profil kualitas

Sangat baik kandidat untuk alur kerja Agent

High-confidence pick with strong adoption and healthy maintenance signals.

94
Star GitHub
51K
Keterkinian
Hari ini
Siap dipasang
Ya
Lisensi
AGPL-3.0

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: demand-first-review description: Use when reviewing a PR, API, IPC channel, endpoint, parameter, type, config, or architectural extension point that adds or expands shared surface area, especially when consumers are absent, exports are unused or speculative, existing consumers are hack-heavy, forward compatibility is claimed, or multiple similar APIs may express one demand. ---

# Demand-First Review

## Principle

Audit this causal chain before implementation quality:

`root outcome or invariant → normalized demand → owning layer → contract → consumer`

A call site proves usage, not legitimacy or shape. No call site raises the burden of proof, not an automatic rejection. Real demand may still have the wrong consumer or abstraction.

## Workflow

Apply every step to each added API, channel, parameter, type, field, config, or extension point.

### 1. Reconstruct the demand

List every new surface and exact consumed dimension; one valid consumer does not justify unused fields. Trace current and linked consumers to their user outcome, business rule, or system invariant. Inspect adjacent implementations, then ask: without the current API and history, would the demand remain and would this contract still be natural? Do not rely only on the PR description.

### 2. Audit consumer legitimacy

- **Legitimate**: uses the correct owner and boundary. - **Compensating**: uses the nearest API and adds workarounds because the right capability is missing. - **Legacy-shaped**: reflects obsolete formats, transitional architecture, or history. - **Misplaced**: serves real demand in the wrong layer.

Parsing, retries, sequencing, duplicated state, check-then-act, or cross-layer access signal compensation. Treat these as unmet upstream demand, never endorsement of the current surface.

### 3. Normalize related demands

Strip names, historical formats, and workarounds from demand statements. Cluster by outcome, source of truth, owner, transaction, security, and lifecycle. Consolidate historical or caller-specific differences; keep contracts separate for genuine ownership, permission, atomicity, lifecycle, side-effect, or failure differences. Prefer a stable core with thin adapters, not duplicated workflows or a lowest-common-denominator API.

### 4. Classify evidence

- **Direct**: a legitimate current consumer uses the dimension. - **Committed**: a concrete consumer exists in the same change or linked near-term work. - **Architectural**: a minimal seam must precede consumers to protect a concrete invariant. - **Unsupported speculation**: only a possible future is named, without a concrete scenario, owner, or omission cost.

Direct consumption proves pressure, not placement or shape.

### 5. Test architectural demand

For a surface without a legitimate current consumer, require all five:

1. A concrete consumer class or extension scenario; 2. The owning layer and protected invariant; 3. A causal omission cost, such as boundary violations, duplicated mechanisms, incompatible implementations, security gaps, or migration lock-in; 4. Why the seam must exist before its first consumer; and 5. The smallest stable mechanism that protects the invariant.

Reject "future features", "flexibility", "centralization", "technical constraints", or "migration risk" without linked evidence and a causal failure. If the test fails, defer or remove. If it passes, preserve only the minimal paved road and remove guessed dimensions.

### 6. Check responsibility and overlap

Place behavior by ownership, not line count. Centralize security, permissions, transactions, invariants, and shared policy; leave presentation and caller-specific composition in consumers. Prefer try-the-operation when the owner can enforce atomically.

Compare contracts by semantics, owner, permissions, exposure, atomicity, lifecycle, failure model, and cost. Shared data alone does not prove duplication; reuse only when these are equivalent.

### 7. Decide, then review implementation

Choose one outcome per surface or normalized group:

- **Keep**: demand and shape are justified. - **Narrow**: remove unsupported dimensions. - **Split**: separate a valid core from unrelated concerns. - **Consolidate**: merge surfaces expressing one demand. - **Replace**: keep the demand, change consumer, owner, or abstraction. - **Defer**: do not commit a possible demand yet. - **Remove**: no demand remains or an equivalent contract owns it.

Report root outcome, evidence, consumer legitimacy, essential differences, owner, alternatives, and decision first. Review implementation quality only for survivors.

## Rationalization Guards

| Claim | Response | |---|---| | "The API is clean; the types are elegant." | Quality cannot justify existence. | | "It has consumers." | Verify legitimacy and exact consumption; workarounds endorse nothing. | | "It has no consumers." | Run the five-part architectural test; absence alone decides nothing. | | "The export is unused; add a test." | Tests verify behavior; they do not create demand. | | "The architecture will need it." | Name the invariant, causal omission cost, consumer class, why now, and minimal seam. | | "A technical constraint requires it." | Trace the constraint to root demand; constraints are not axioms. | | "Existence is the architect's call." | Authority neither exempts demand review nor reduces it to a nit. | | "The caller can compute it in one line." | Place policy by ownership and invariants, not code length. | | "The existing API returns the same data." | Compare full semantics before declaring duplication. | | "These consumers differ slightly." | Prove differences are semantic, not historical or caller-specific. | | "It is forward-compatible or additive." | Keep only concrete needs; additive contracts carry permanent cost. |

## Red Flags

Pause and restart from Step 1 when:

- Implementation comments accumulate before stating root demand, evidence, and legitimate consumers. - A call site is treated as proof that the contract belongs here or has the right shape. - Zero current consumption is treated as automatic rejection or permission to accept an architectural claim. - A compensating or hack-heavy consumer is used to freeze its workaround into the shared contract.

## Calibration

- Linked independent modules would otherwise import privileged internals: **keep the minimal registration seam; remove guessed knobs**. - A renderer parses raw errors and retries because no atomic operation exists: **replace the abstraction rather than expand the error taxonomy**.

Detail teknis

Versi
1.0.0
Lisensi
AGPL-3.0
Pembaruan terakhir
22 Agu 2026
Diterbitkan
20 Agu 2026

Ringkasan keputusan

Pilihan utama

100
Siap
Adopsi
Tahap

50,908 star GitHub

Audit

Tinjauan pemasangan

Tinjauan pemasangan dan adopsi

91
Aman untuk dicoba
Keamanan
85/100
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 demand-first-review, siap untuk posting manual di X.

Catatan kurator
demand-first-review: Use when reviewing a PR, API, IPC channel, endpoint, parameter, type, config, or architectura...

50.9K stars

https://www.openagentskill.com/skills/cherryhq-demand-first-review?ref=x
Buka draf X
Balasan opsional dengan perintah pemasangan
Listing + install path for demand-first-review:
https://www.openagentskill.com/skills/cherryhq-demand-first-review?ref=x

Install: npx skills add CherryHQ/cherry-studio --skill demand-first-review
Buka draf balasan

Sumber listing

Diindeks Registry

Dapat diklaim

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

Kreator
CherryHQ
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 CherryHQ, 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/cherryhq-demand-first-review?metric=listed&label=Listed)](https://www.openagentskill.com/skills/cherryhq-demand-first-review)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/cherryhq-demand-first-review?metric=trust&label=Trust)](https://www.openagentskill.com/skills/cherryhq-demand-first-review)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/cherryhq-demand-first-review?metric=audit&label=Audit)](https://www.openagentskill.com/skills/cherryhq-demand-first-review/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/cherryhq-demand-first-review?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/cherryhq-demand-first-review)

Penulis

C

CherryHQ

@cherryhq

Kecocokan platform

Sinyal kesehatan

Star GitHub
50.9K
Skor kualitas
57/100
Push GitHub terakhir
22 Agu 2026
Petunjuk framework
Tidak diketahui
Tampilan OpenAgentSkill
6
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

Tinjau sebelum memasang

83
  • Adopsi GitHub51K star GitHubLulus
  • Aktivitas star/fork51K star dan 4.8K fork; aktivitas issue tidak tersedia dalam metadata saat iniLulus
  • Pemeliharaan terbaruDiperbarui hari iniLulus
  • Kejelasan lisensiAGPL-3.0Lulus
  • Kelengkapan README/SKILL.mdMetadata memuat konteks penggunaan dan alur kerja yang cukupLulus
  • Risiko dependensi/runtimenetwork or browser surface, database surfaceInfo