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研究检索权限需确认github未标认证来源可访问许可证需确认审计通过

factory-review工厂审查

Agent Skill

factory-review 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

1,714

周安装

70

GitHub Stars

2

下载量

549
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:factory-review(工厂审查)
来源仓库:https://github.com/jwilger/agent-skills
仓库路径:skills/factory-review
安装命令:
npx skills add https://github.com/jwilger/agent-skills --skill factory-review
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/jwilger/agent-skills --skill factory-review

简介

用于查找、检索和筛选相关信息,支持根据关键词快速定位结果。

  • 适用于工厂模式构建中的审查流程,提供审计摘要和质量报告。
  • 生成 PR 摘要、趋势分析和自主调优接口,提升审查效率。
  • 安装方式:通过 npx skills add 命令从 GitHub 仓库安装,建议确认权限范围。
  • factory-review 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Factory Review

Value: Communication -- factory mode concentrates the human's attention on decisions that matter. This skill ensures the review interface is clear, concise, and actionable so the human can provide meaningful oversight without re-reading every line of code.

Purpose

Structures the human review experience during Phase 3 of factory-mode builds. Produces audit trail summaries, PR digests, retrospective synthesis, quality trend reports, and an autonomy tuning interface. The goal is high-signal review in minimal time.

Practices

Audit Trail Summary

Read from .factory/audit-trail/ and present a concise build summary:

  • Slices completed: Count and list (by slice ID and title)
  • Rework rate: Percentage of slices that required rework cycles
  • Gate failure distribution: Count of failures by gate type (tdd, review, ci, mutation)
  • Escalations pending: Count and brief description of each unresolved escalation

Format as a dashboard-style summary. Lead with the numbers, follow with details only if the human asks.

PR Digest

For each merged PR in the build, produce a one-paragraph summary:

  1. What changed: Feature or fix description in plain language
  2. Which slice: The vertical slice ID this PR implements
  3. Which pair: The two engineers who built it
  4. Gate results: Pass/fail for each quality gate (tdd, review, ci, mutation)
  5. Rework count: Number of rework cycles before all gates passed

Keep each digest to 3-5 sentences. The human should be able to scan all PR digests in under a minute for a typical build session.

Retrospective Synthesis

Aggregate findings from team retrospectives (stored in .factory/audit-trail/retrospectives/) and surface patterns:

  • Recurring rework causes: What kinds of issues triggered the most rework?
  • Pair effectiveness: Which pairings produced the fewest rework cycles?
  • Domain hotspots: Which areas of the domain model generated the most discussion or revision?
  • Process friction: Any team-identified impediments or improvement suggestions

Present as bullet points grouped by theme. Do not editorialize -- report what the team said.

Quality Trend Tracking

Read from .factory/audit-trail/metrics/ and present trends:

MetricCurrentPreviousTrend
Mutation score%%up/down/stable
Rework rate%%up/down/stable
Cycle time per slicedurationdurationup/down/stable
Gate failure rate by typecountscountsup/down/stable

"Previous" means the last completed build session. If no previous session exists, omit the comparison column.

Tuning Interface

Accept adjustments to .factory/config.yaml during review. For each proposed change:

  1. Validate: Check that the change is consistent (e.g., cannot enable auto-merge at conservative autonomy level; cannot disable a gate that another setting depends on)
  2. Explain implications: What will change in behavior if this setting is modified? Be specific.
  3. Apply or reject: If valid, apply the change. If invalid, explain why and suggest the nearest valid alternative.

Never apply config changes silently. Always confirm with the human before writing to .factory/config.yaml.

Escalation Review

Present each pending escalation with full context:

  1. Which gate: The quality gate that triggered the escalation
  2. Rework attempts: How many rework cycles were attempted
  3. What was tried: Brief summary of each rework attempt
  4. Current state: What the code looks like now (diff or description)
  5. Recommendation: The team's suggested resolution (if any)

The human decides: resolve, override, or send back for more rework.

Enforcement Note

Advisory in all modes. Summaries and trend reports are self-enforced formatting disciplines.

Hard constraints:

  • No silent config changes: [H]

Constraints

  • "No editorializing": Report what the team said, not what you think about what the team said. "The team discussed X and decided Y" is reporting. "The team wisely decided Y" is editorializing. "The team discussed X but missed the important point about Z" is editorializing. If you have a concern, present it separately as your own analysis, clearly labeled.
  • Config validation: "Never apply config changes silently" means every config change goes through explicit user confirmation, even if the user previously said "go ahead and configure things." Each individual change is confirmed. Blanket permission does not exist for config changes.

Verification

After completing a factory review session, verify:

  • Audit trail summary was presented with current build metrics
  • Every merged PR has a digest (no PRs skipped)
  • Retrospective synthesis covers all team retrospectives from the session
  • Quality trends include comparison to previous session (if available)
  • All pending escalations were presented with full context
  • Any config changes were validated before being applied
  • Human confirmed or overrode each escalation

If any criterion is not met, revisit the relevant practice.

Dependencies

This skill requires the pipeline skill for factory mode infrastructure. It integrates with:

  • pipeline: Reads audit trail files and metrics produced by the pipeline orchestrator during Phase 2
  • ensemble-team: Retrospective synthesis reads team retro output; pair effectiveness data comes from pairing history
  • ci-integration: Gate failure data includes CI_RESULT packets from the ci-integration skill

Missing a dependency? Install with:

npx skills add jwilger/agent-skills --skill pipeline

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

36.65%
按下载量换算201

Claude

29.79%
按下载量换算164

Cursor

20.6%
按下载量换算113

Gemini CLI

10.41%
按下载量换算57

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

权限需确认

当前来源未能明确判断权限范围,默认进入异常复核队列。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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