demand-first-review
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
Profil aset
Riset dan pekerjaan pengetahuan
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
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
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 baikHigh-confidence pick with strong adoption and healthy maintenance signals.
Kepercayaan
Tinjau sebelum memasangSinyal shortlist yang baik, tetapi Agent harus meninjau catatan audit, kebijakan pemasangan, dan bukti hasil sebelum menjalankannya.
Audit
Aman untuk dicobaTinjauan 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.
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.
Tugas yang sesuai
- Alur kerja Agent riset
- Tim Claude Code
- Tim yang menghargai sinyal adopsi GitHub
- Sumber pencarian
Agent yang sesuai
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-reviewJangan 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
Skill alternatif
Last30days Skill
53.5K Star
npx skills add mvanhorn/last30days-skill -g
Skill alternatif
Academic Research Skills
38.4K Star
npx skills add Imbad0202/academic-research-skills
Skill alternatif
GPT Researcher
28.0K Star
npx skills add assafelovic/gpt-researcher
Skill alternatif
DeepResearch
19.8K Star
npx skills add Alibaba-NLP/DeepResearch
Keamanan Agent v2
83/100 · Aman dipasang dengan tinjauan normal
Sinyal audit dan keamanan baik tanpa petunjuk izin berisiko tinggi dalam metadata publik.
Tinjau halaman audit, lalu izinkan pemasangan Agent dalam alur kerja sandbox.
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.
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-reviewRencana 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 JSON
/api/agent/resolve?task=Use%20demand-first-review%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Teks Resolve
/api/agent/resolve?task=Use%20demand-first-review%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Serah-terima pemasangan
/api/skills/cherryhq-demand-first-review/install
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.
Serah-terima pemasangan
/api/skills/cherryhq-demand-first-review/install
Format teks LLM
/api/skills/cherryhq-demand-first-review/install?format=text
Cari alternatif
/api/skills/search?q=demand-first-review&limit=3
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-reviewMetadata Registry
Profil yang dapat dibaca Agent untuk pemilihan skill otomatis.
API Registry menyediakan sinyal keputusan, kepercayaan, audit, use case, dan pemasangan tanpa mengikis UI.
Manifest
/api/registry/manifest/cherryhq-demand-first-review
Teks LLM
/api/registry/manifest/cherryhq-demand-first-review?format=text
Alias pemasangan
/api/registry/install/cherryhq-demand-first-review
Rekomendasikan
/api/registry/recommend?task=Use%20demand-first-review%20in%20an%20agent%20workflow&limit=3
Kecocokan Agent
Agent riset
Tag use case
Platform
Claude Code
Laporan audit
Aman untuk dicoba · 91/100
Tinjauan yang dapat dibaca mesin tentang kesiapan pemasangan, metadata keamanan, pemeliharaan, dan risiko adopsi.
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.
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
- 1Pasang di Agent sandbox dan jalankan satu tugas Agent riset dari awal hingga akhir.
- 2Compare output quality, latency, and failure behavior against at least one alternative.
- 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.
Adopsi GitHub
Lulus51K star GitHub
Aktivitas star/fork
Lulus51K star dan 4.8K fork; aktivitas issue tidak tersedia dalam metadata saat ini
Pemeliharaan terbaru
LulusDiperbarui hari ini
Kejelasan lisensi
LulusAGPL-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.
Kecocokan alur kerja
Gunakan skill ini pada skenario berikut
Investigate faster
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Manage repositories
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Operate web apps
Browser automation
I need my agent to control a browser, fill forms, and verify web app workflows.
Kecocokan alur kerja
Tambahkan ke alur kerja lengkap
Find, compare, and synthesize
Research report agent
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Operate and verify web apps
Browser QA agent
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Inspect, patch, and verify code
Coding review agent
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Daftar alternatif
Bandingkan sebelum memasang
Similar skills that may fit this task.
Last30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
GPT Researcher
Run autonomous deep research over web and local sources
DeepResearch
Tongyi Deep Research, the Leading Open-source Deep Research Agent
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
50,908 star GitHub
Audit
Tinjauan pemasangan
Tinjauan pemasangan dan adopsi
- Keamanan
- 85/100
- Pemeliharaan
- 100/100
- Pasang
- 92/100
Bukti tervalidasi Agent
Bukti tervalidasi Agent
Laporan hasil setelah resolve, tinjau, pasang, dan satu eksekusi terbatas.
- 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
Draf berbasis skenario untuk demand-first-review, siap untuk posting manual di X.
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
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
Sumber listing
Diindeks Registry
Listing ini diindeks dari sumber publik dan belum ditandai resmi hingga klaim pemelihara disetujui.
- Kreator
- CherryHQ
- Sumber
- CherryHQ/cherry-studio
- Diindeks oleh
- Indeks komunitas OpenAgentSkill
Atribusi menautkan ke repositori publik atau profil kreator. Kreator dapat mengklaim listing untuk memperbarui sinyal kepemilikan.
Klaim skill iniKlaim 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.
[](https://www.openagentskill.com/skills/cherryhq-demand-first-review)
[](https://www.openagentskill.com/skills/cherryhq-demand-first-review)
[](https://www.openagentskill.com/skills/cherryhq-demand-first-review/audit)
[](https://www.openagentskill.com/skills/cherryhq-demand-first-review)Penulis
CherryHQ
@cherryhq
Tag
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
- 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
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Last30days Skill
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