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pr-retro公关复古

Agent Skill

pr-retro 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

1,354

周安装

57

GitHub Stars

公开资料未说明

下载量

474
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:pr-retro(公关复古)
来源仓库:https://github.com/ulpi-io/skills
仓库路径:skills/pr-retro
安装命令:
npx skills add https://github.com/ulpi-io/skills --skill pr-retro
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/ulpi-io/skills --skill pr-retro

简介

用于查找、检索和筛选相关信息。pr-retro 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

  • 适合根据关键词或任务场景快速定位候选结果。
  • 可结合来源仓库和原始 README 核验具体用法。
  • 安装前建议确认权限范围和维护状态。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。
  • 注意是否会触发联网或文件读写操作。

SKILL.md

Non-negotiable rules:

  1. Verify the branch is a feature branch and actually has commits relative to base.
  2. Compute metrics from git data, never by estimation.
  3. Form the verdict only after the full metric and self-review pass is complete.
  4. Stay read-only with respect to code and git state; the only allowed write is the JSON snapshot.
  5. Keep the heavy metric tables, scan patterns, and JSON schema in references, not inline in every invocation.

PR Retro

Inputs

  • $request: Optional flags or guidance such as --quick or --base <branch>

Goal

Produce a credible branch retrospective that:

  • measures the actual branch diff
  • identifies contributors and hotspots
  • scans for common pre-PR artifacts
  • evaluates merge readiness with explicit signals
  • optionally saves a JSON snapshot under .history/pr-retros/

Step 0: Resolve mode and branch scope

Determine:

  • whether the request is standard mode or --quick
  • whether a custom base branch was specified
  • current branch name
  • whether the branch is a feature branch
  • whether commits exist relative to base

Stop early if:

  • on main, master, or develop
  • no commits exist relative to base

Use references/retro-metrics.md for base-branch resolution rules and mode behavior.

Success criteria: The retro mode and review base are explicit, and there is real branch data to analyze.

Step 1: Gather raw branch data

Collect the raw git data needed for the retro:

  • commit list with author and timestamps
  • per-commit stats
  • machine-readable numstat
  • aggregate diff stat
  • branch divergence info

Rules:

  • prefer raw git output over prose or inference
  • if a metric cannot be derived from the collected data, say so explicitly
  • do not skip this step and jump directly to a verdict

Success criteria: All downstream metrics can be derived from collected branch data.

Step 2: Compute branch metrics

Compute the core branch metrics from raw data:

  • total commits
  • contributors
  • files changed
  • insertions
  • deletions
  • net LOC
  • test LOC ratio
  • PR size class
  • branch age
  • base drift
  • focus score
  • session count and timeline

If in --quick mode, stop after computing the dashboard-grade metrics and verdict inputs.

Load references/retro-metrics.md for:

  • metric formulas
  • PR size buckets
  • focus score rules
  • session detection rules

Success criteria: Every displayed metric is derived from concrete git data.

Step 3: Analyze contributors, hotspots, and hygiene

Build the branch-health view:

  • contributor breakdown
  • commit type distribution
  • hotspot files
  • hygiene signals such as WIP/fixup or weak commit messages

Rules:

  • attribute commits per author from commit data, not local git config
  • treat conventional-commit compliance as a metric, not a moral judgment
  • use hotspot analysis to explain risk concentration, not to imply a bug by itself

Success criteria: The retro explains who changed what and where the branch is concentrated.

Step 4: Run the self-review scan

Use references/retro-metrics.md to scan the branch diff for:

  • hardcoded secrets
  • .only test markers
  • conflict markers
  • debug statements
  • TODO or FIXME artifacts
  • commented-out code
  • large file additions
  • binary files
  • notable config changes

Rules:

  • never include actual secret values in output
  • distinguish between BLOCK, WARN, and INFO
  • this is not a full security audit; use it as merge-readiness evidence

Success criteria: The retro captures branch hygiene issues that affect merge readiness.

Step 5: Determine merge-readiness verdict

Evaluate the configured signals:

  • hygiene
  • size
  • test ratio
  • focus
  • self-review findings
  • drift

Then produce:

  • GREEN
  • YELLOW
  • RED

Generate recommendations for every non-green signal.

Load references/retro-metrics.md for the verdict rules and signal thresholds.

Success criteria: The verdict follows the documented signal rules and is explainable from the metrics.

Step 6: Render output and save snapshot

Always render the dashboard summary.

In standard mode, also render:

  • contributors
  • commit type breakdown
  • hotspots
  • self-review findings
  • time distribution
  • recommendations

In standard mode, save the JSON snapshot to:

  • .history/pr-retros/<branch-slug>.json

Skip the snapshot in --quick mode.

Use references/retro-metrics.md for:

  • output sections
  • JSON schema
  • branch slugging rules

Success criteria: The retro output is internally consistent, and the snapshot is written only when appropriate.

Guardrails

  • Do not fabricate metrics.
  • Do not change code or git state.
  • Do not add disable-model-invocation; this skill should remain callable when the user asks for branch analysis.
  • Do not add paths:; this is a generic workflow skill.
  • Do not keep the metric tables, signal thresholds, and JSON schema inline in SKILL.md.
  • Do not report a GREEN verdict when blocking findings exist.

When To Load References

  • references/retro-metrics.md Use for metric formulas, signal thresholds, self-review scan patterns, output layout, and JSON snapshot schema.

Output Contract

Report:

  1. branch and base
  2. key dashboard metrics
  3. overall verdict and per-signal status
  4. notable findings and recommendations
  5. snapshot path when written, or explicit quick-mode skip

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

32.33%
按下载量换算153

Claude

29.99%
按下载量换算142

Cursor

18.71%
按下载量换算89

Gemini CLI

9.48%
按下载量换算45

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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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