Token导航 LogoToken导航TokenDH.com
研究检索external-serviceclawhub未标认证来源可访问clear审计提醒

pr-ship公关船

Agent Skill

pr-ship 用于查找、检索和筛选相关信息,适合在 OpenClaw 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

27,588

周安装

1,116

GitHub Stars

公开资料未说明

下载量

8,660
OpenClaw

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

MIT-0

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-ship(公关船)
来源仓库:https://github.com/glucksberg/pr-ship
安装命令:
openclaw skills install pr-ship
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install pr-ship

简介

生成 PR 发货前的风险评估报告,分析模块风险与爆炸半径。

  • 适合发布前安全检查、依赖变更影响评估等关键节点。
  • 动态探索代码库,识别潜在问题与版本冲突。pr-ship 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 需授予仓库读取权限,建议配合 CI 日志交叉验证结果。
  • 报告仅供决策参考,高风险变更仍需人工二次确认。

SKILL.md

name
pr-ship
description
Pre-ship risk report for OpenClaw PRs. Dynamically explores the codebase to assess module risk, blast radius, and version-specific gotchas. Scores each finding by severity (🟢/🟡/🔴). Updated frequently with the latest OpenClaw version context — run clawhub update pr-ship regularly to stay current.

pr-ship

Overview

Pre-ship risk report for OpenClaw pull requests.

This skill is updated frequently to track OpenClaw releases. The version-specific context (gotchas, behavioral changes, active risk areas) is refreshed with each upstream release. Run clawhub update pr-ship periodically to get the latest context.

What it does:

  • Diffs your current branch against main in the OpenClaw repository.
  • Dynamically investigates each changed module using grep/find/git on the codebase itself.
  • Produces a structured risk report with evidence-backed findings scored by severity (🟢/🟡/🔴).
  • No approve/reject gate -- just information for you to decide what to fix before publishing.

Reference Layers

Load these files from the references/ directory. Each serves a distinct purpose:

  1. STABLE-PRINCIPLES.md -- Timeless OpenClaw coding standards: testing guide, file naming, safety invariants, common pitfalls, PR practices.
  1. ARCHITECTURE-MAP.md -- OpenClaw structural context: module hierarchy, risk tier definitions with calibrated thresholds, critical path patterns, cross-module coupling, change impact matrix.
  1. CURRENT-CONTEXT.md *(optional)* -- Version-specific gotchas, recent behavioral changes, and active risk areas. If this file exists, load it. It tracks the current OpenClaw release.
  1. EXPLORATION-PLAYBOOK.md -- Dynamic investigation procedures. Read-only commands (grep, find, ls, git) that discover the current state of the OpenClaw codebase.
  1. VISION-GUIDELINES.md -- Project vision, contribution policy, and merge guardrails derived from OpenClaw's VISION.md. Covers PR scope rules, security philosophy, plugin/core boundary, skills policy, MCP strategy, and the explicit "will not merge" list. Use this to catch policy and architectural misalignment.

STABLE-PRINCIPLES, ARCHITECTURE-MAP, EXPLORATION-PLAYBOOK, and VISION-GUIDELINES should always be present. CURRENT-CONTEXT is optional -- if missing, the skill still works but without version-specific gotcha awareness.

Workflow

1. Load reference layers

  • Read the four reference files listed above.

2. Collect diff against main

  • Get current branch: git branch --show-current
  • Gather file list: git diff --name-only main...HEAD
  • Gather patch content: git diff main...HEAD

3. Classify changed modules

  • For each changed file, identify its src/<module>/ path.
  • Look up the module's risk tier in ARCHITECTURE-MAP.md.
  • If the module isn't listed or you want to verify, run the dynamic consumer count from EXPLORATION-PLAYBOOK.md "Dynamic Risk Classification" section.

4. Run dynamic exploration per changed module

  • Follow EXPLORATION-PLAYBOOK.md "Blast Radius Discovery" for each changed file.
  • Follow "Module-Specific Investigation Strategies" for each changed module type.
  • Follow "Test Discovery" to identify relevant tests.
  • Check "Red Flags Table" against the diff.

5. Evaluate findings

  • Compare exploration evidence against:

- Safety invariants and common pitfalls from STABLE-PRINCIPLES.md - Version-specific gotchas from CURRENT-CONTEXT.md (if loaded) - Architecture coupling patterns from ARCHITECTURE-MAP.md - Contribution policy, merge guardrails, and architectural direction from VISION-GUIDELINES.md

  • Check PR scope against Vision contribution rules (one PR = one topic, size limits, bundling policy).
  • Check for "will not merge" category matches from VISION-GUIDELINES.md section 7.
  • Evaluate whether new capabilities respect the plugin/core boundary and security philosophy.
  • Every finding must include:

- Evidence from the diff (file + snippet) - Exploration evidence (command output showing blast radius, consumers, or pattern match) - Reference to the specific principle, gotcha, or coupling pattern it relates to

6. Produce report

  • Use the report format below.
  • Do not output "approved/rejected".

Severity and Alert Scoring

  • 🟢 Low Risk (score 1-2)

Minor observation, style preference, or informational note. Safe to ship as-is.

  • 🟡 Attention Needed (score 3-6)

Partial mismatch, ambiguity, missing hardening, or non-blocking inconsistency. Worth reviewing but unlikely to cause breakage.

  • 🔴 High Risk (score 7-10)

Clear conflict with OpenClaw coding standards, architecture patterns, or version-specific constraints. Likely to cause bugs, regressions, or policy violations.

Scoring:

  • Score each finding individually (1-10).
  • final_alert_score = max(per_finding_scores). If no findings, final_alert_score = 0.

Report Format

## pr-ship report

- Branch: `<current-branch>`
- Base: `main`
- Files changed: `<N>`
- Modules touched: `<list with risk tiers>`
- Findings: `<N>`
- Final alert score: `<0-10>`

### Module Risk Summary

| Module | Risk Tier | Consumers | Files Changed |
| --- | --- | --- | --- |
| <module> | CRITICAL/HIGH/MEDIUM/LOW | <N> | <N> |

### Findings

1. 🟢/🟡/🔴 Title
   - Alert: `<1-10>`
   - Reference: `<principle, gotcha, or pattern from reference docs>`
   - Evidence in diff: `<file + short snippet/description>`
   - Exploration evidence: `<what dynamic investigation revealed>`
   - Why this matters: `<1-2 lines>`
   - Suggested fix: `<1-2 concrete actions>`

(repeat)

### Executive summary
- `<short practical summary for decision>`
- `<top 1-3 actions before publishing PR>`

Constraints

  • This skill is for the OpenClaw repository only. Do not use it on other projects.
  • Review only the current branch diff against main.
  • Do not review unrelated repository history.
  • Do not auto-edit code unless explicitly asked.
  • Do not convert the report into an approve/reject decision unless explicitly requested.
  • Exploration commands are read-only (grep, find, ls, git diff). Never execute build, test, or code generation commands -- recommend them to the user in findings instead.

Provenance

  • Source: github.com/Glucksberg/pr-ship
  • Maintainer: Markus Glucksberg (@Glucksberg)
  • Update mechanism: CURRENT-CONTEXT.md metadata is refreshed daily via cron when OpenClaw upstream CHANGELOG.md changes. GitHub repo is updated separately by the maintainer.
  • Verification: The GitHub repo is the canonical source of truth. To verify your installed copy matches:
# Quick: compare file list + versions
diff <(clawhub list | grep pr-ship) <(curl -s https://api.github.com/repos/Glucksberg/pr-ship/contents/package.json | jq -r '.content' | base64 -d | jq -r .version)

# Full: diff your local install against GitHub
SKILL_DIR="$(find ~/.openclaw/skills -maxdepth 1 -name pr-ship -type d 2>/dev/null || echo skills/pr-ship)"
for f in SKILL.md package.json references/CURRENT-CONTEXT.md; do
  diff <(cat "$SKILL_DIR/$f") <(curl -s "https://raw.githubusercontent.com/Glucksberg/pr-ship/main/$f") && echo "$f: ✔ match" || echo "$f: ✘ differs"
done

Security Notice

Reports generated by this skill may include diffs and grep output from your local repository. If your config files, environment, or code contain secrets (API keys, tokens, credentials), those values may appear in the report. Do not publish or share generated reports without reviewing them for sensitive data first.

Credits

Original DEVELOPER-REFERENCE.md format and approach adapted from mudrii's developer reference methodology. The dynamic exploration approach was designed based on feedback from the OpenClaw maintainer community.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

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

补充不同宿主或平台的使用分布数据

能力 5

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

OpenClaw

89.9%
按下载量换算7,785

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

未展示

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。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

继续浏览同类 Skills