demand-first-review

· 83
已收录

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
Stars50.9K
版本1.0.0
质量94/100 · 优秀
信任83/100 · 审查后安装
审计91/100 · 可安全尝试

供给资产档案

研究与知识工作

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

浏览赛道

场景

研究 Agent

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

适配 Agent

Claude Code + CLI + Codex

适用于 Codex、Claude Code、Cursor、CLI 或自定义 Agent。

安装

就绪

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

维护状态

新鲜

今天有推送

风险

可安全尝试

可用元数据中未发现重大风险信号

GitHub 质量

51K

94/100 质量 · 86/100 信任

覆盖标签

研究研究 Agentagent-skill

审查说明

可用元数据中未发现重大风险信号

Agent 采用评分卡

一眼查看信任、审计与安装准备度

这些分数综合公开仓库元数据、OpenAgentSkill 审查信号、维护新鲜度与安装准备度。它用于候选筛选,不替代人工审查。

质量

优秀
94

高置信候选,具有较强的采用度与健康维护信号。

信任

审查后安装
83

适合加入候选清单,但 Agent 在运行前应审查审计说明、安装策略和结果证据。

审计

可安全尝试
91

对安装准备度、安全元数据、维护情况与采用风险的机器可读审查。

OpenAgentSkill 信任评分 v5

适合 Agent 安装的候选

在人工审查或沙盒验证后作为首选候选。

CodexClaude CodeCursorOpenAgentSkill CLI

Stars

51K 个 GitHub Stars

仓库活跃度

51K 个 Star,4.8K 个 Fork

维护状态

今天有推送

许可证

AGPL-3.0

安装

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

安装安全性

标准软件包或运行时安装路径

权限范围

network or browser access, database access

Agent 结果

暂未有 Agent 结果数据

文档

README/SKILL.md 上下文充分

风险摘要

低元数据风险

  • 可用元数据中未发现重大信任警告

安装准备度

安装路径可用

  • 安装路径可用
  • 仓库证据可用
  • 已声明许可证
  • 暂无 Agent 验证结果证据

Agent 可读元数据

这个 Skill 的机器可读决策数据。

使用此区块或内嵌 JSON 判断 Agent 是否应安装该 Skill、选择替代方案,或先请求人工审查。

打开 JSON

适用任务

  • 研究 Agent 工作流
  • Claude Code 团队
  • 重视 GitHub 采用信号的团队
  • 检索来源

适用 Agent

CodexClaude CodeCursorOpenAgentSkill CLICLI

安装决策

命令
npx skills add CherryHQ/cherry-studio --skill demand-first-review
策略
允许
人工审查

信任与风险

信任
83/100
审计
91/100
风险级别
可安全尝试

结果闭环

端点
/api/agent/outcome
事件 ID
resolve
结果
5

安装命令

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

不适用场景

  • 需要厂商支持 SLA 的团队
  • 没有内部安全审查的高合规环境
  • 当前元数据中未发现重大风险信号
  • 可用元数据中未发现重大信任警告
  • Production credentials, payments, or irreversible account changes without explicit human review

Agent 安全 v2

83/100 · 常规审查后可安全安装

已审查允许

审计与安全信号良好,公开元数据中没有高风险权限提示。

先查看审计页面,再在沙盒工作流中允许 Agent 安装。

通过 API 解析

网络访问

Skill 可能访问远程页面、API、仓库或外部服务。

数据库访问

Skill 可能检查 Schema、查询数据库或处理持久化存储。

安装目标

在你的 Agent 工作流中安装此 Skill

通过公开安装端点获取命令、安全清单、目标提示词和该 Skill 的规范链接。

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

Agent 解析计划

让 Agent 在安装前验证匹配度。

Resolve API 返回首选 Skill、替代方案、安全策略、审计说明、安装目标和可直接执行的提示词,无需抓取此页面。

打开文本计划

Agent 应检查

  • 从 Resolve API 检查任务匹配与替代方案。
  • 检查审计评分、信任评分和安全策略警告。
  • 检查 Codex、Claude Code、Cursor 或 CLI 的安装目标兼容性。

复制提示词

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.

Agent 交接

把安装路径交给 Agent,而不是再给一个目录页。

通过公开安装端点获取命令、安全清单、目标提示词和该 Skill 的规范链接。

打开安装 API

Agent 提示词

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

Registry 元数据

用于自动选择 Skill 的 Agent 可读档案。

本页通过 Registry API 提供相同的决策、信任、审计、场景和安装信号,让 Agent 无需抓取界面即可排序。

打开 Manifest

适配 Agent

100/100

研究 Agent

平台

Claude Code

审计报告

可安全尝试 · 91/100

对安装准备度、安全元数据、维护情况与采用风险的机器可读审查。

查看审计报告查看评估报告

Agent 决策面板

适合 研究 Agent 的首选

将其作为优先候选,再在你的 Agent 环境中验证 README 与安装路径。

100
就绪度
采用
阶段

栈中角色

首选

主要匹配

研究 Agent

信任标签

可用于生产

安装路径

命令已就绪

适用场景

  • 研究 Agent 工作流
  • Claude Code 团队
  • 重视 GitHub 采用信号的团队

证据

  • 50,908 个 GitHub Stars
  • 仓库近期活跃
  • 已提供安装命令或 GitHub 仓库
  • 94/100 质量档案
  • 6 个 OpenAgentSkill 交互事件

先审查

  • 当前元数据中未发现重大风险信号

实施路径

  1. 1在沙盒 Agent 中安装它,并端到端完成一次研究 Agent任务。
  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.

信任档案

审查后安装

适合加入候选清单,但 Agent 在运行前应审查审计说明、安装策略和结果证据。

83
OpenAgentSkill 信任评分

GitHub 采用度

通过

51K 个 GitHub Stars

Star/Fork 活跃度

通过

51K 个 Star,4.8K 个 Fork; 当前元数据中没有议题活跃度信息

近期维护

通过

今天有推送

许可证清晰度

通过

AGPL-3.0

积极信号

  • AI 审查已通过
  • 安装路径可用
  • 仓库证据可用
  • 近期维护的仓库
  • Large GitHub adoption signal
  • 安装命令未发现明显高风险模式
  • 结果闭环已就绪,但需要首次真实 Agent 运行

安装前审查

  • 暂未有真实 Agent 结果报告
  • 无人值守安装前需要人工审查

建议操作

在人工审查或沙盒验证后作为首选候选。

质量档案

优秀 适用于 Agent 工作流的候选

高置信候选,具有较强的采用度与健康维护信号。

94
GitHub Stars
51K
新鲜度
今天
安装就绪
许可证
AGPL-3.0

工作流匹配

在这些场景使用此 Skill

工作流匹配

加入完整工作流

替代方案短名单

安装前对比

可能适合该任务的相近 Skill。

对比全部

概览

--- 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**.

技术详情

版本
1.0.0
许可证
AGPL-3.0
最近更新
2026年8月22日
发布时间
2026年8月20日

决策摘要

首选

100
就绪
采用
阶段

50,908 个 GitHub Stars

审计

安装审查

安装与采用审查

91
可安全尝试
安全性
85/100
维护状态
100/100
安装
92/100
打开完整审计查看评估报告

Agent 验证证据

Agent 验证证据

来自解析、审查、安装和一次小范围运行后的结果报告。

0
已验证
Needs first agent run自动安装: 先审查最近: 未知
成功率
近期失败
结果
0
输出质量
失败
0
不相关
0
安装次数
0
风险拦截
0
需要配置
0
生产环境
0

暂时没有 Agent 结果数据。首次 Agent 执行可以通过 /api/agent/outcome 报告成功、需要设置、风险拦截、失败或不相关。

安装

加入 Agent 工作流

免费且开源. 在生产 Agent 中安装前请先审查报告。

增长闭环

分享工具包

X

为 demand-first-review 准备的场景化草稿,可手动发布到 X。

策展说明
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
打开 X 草稿
可选:带安装命令的回复
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
打开回复草稿

收录来源

Registry 收录

可认领

此列表来自公开来源,维护者认领获批前不会标记为官方。

创作者
CherryHQ
收录方
OpenAgentSkill 社区索引

归属链接指向公开仓库或创作者主页。创作者可认领列表以更新所有权信号。

认领此 Skill

所有者认领

认领此 Skill 页面

这条 Registry 收录 列表归属于 CherryHQ,但尚未标记为官方。认领后可增加已验证所有者信号,使后续发布、安装和审计更新更值得信赖。

创作者外链工具包

将证据徽章加入你的 README

在开发者评估仓库的位置展示规范页面、当前信任与审计信号,以及真实的 Agent 验证证据。

[![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)

作者

C

CherryHQ

@cherryhq

平台适配

健康信号

GitHub Stars
50.9K
质量评分
57/100
最近 GitHub 推送
2026年8月22日
框架提示
未知
OpenAgentSkill 浏览量
6
复制安装命令
0
跳转点击
0

社区信号

告诉我们这个 Skill 是否对你的 Agent 工作流有帮助。汇总反馈会持续改善排序。

信任与安全

审查后安装

83
  • GitHub 采用度51K 个 GitHub Stars通过
  • Star/Fork 活跃度51K 个 Star,4.8K 个 Fork; 当前元数据中没有议题活跃度信息通过
  • 近期维护今天有推送通过
  • 许可证清晰度AGPL-3.0通过
  • README/SKILL.md 完整度元数据包含足够的用法与工作流上下文通过
  • 依赖与运行时风险network or browser surface, database surface信息