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Agent Skill · 研究检索

pre-publish-review(发布前审查)

pre-publish-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。

pre-publish-review 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为执行命令;许可证信息还不明确,第三方扫描有未通过项,按安装量在研究检索类的 73,675 个 Skill 里排第 30,203。

总安装 2,916周安装 124GitHub Stars 55,210下载 1,022核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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:pre-publish-review(发布前审查)
来源仓库:https://github.com/code-yeongyu/oh-my-openagent
仓库路径:skills/pre-publish-review
安装命令:
npx skills add https://github.com/code-yeongyu/oh-my-openagent --skill pre-publish-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/code-yeongyu/oh-my-openagent --skill pre-publish-review

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

用于发布前的多层级代码审查流程。pre-publish-review 属于研究检索类 Skill,可作为该场景下的辅助能力补充。包含深度检查、整体评审和发布合成三个阶段。覆盖正确性、安全性和部署风险等多维度验证。适用于 npm 包发布前的质量门禁场景。

安装方式:github,通过 npx skills add 命令添加指定仓库技能。

来源仓库内路径:skills/pre-publish-review

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/code-yeongyu/oh-my-openagent --skill pre-publi…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要执行命令,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

pre-publish-review 怎么安装?

在终端执行 npx skills add https://github.com/code-yeongyu/oh-my-openagent --skill pre-publish-review。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

pre-publish-review 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

pre-publish-review 需要什么权限?

权限级别是执行命令。安装流程涉及命令执行,可能通过 npx skills add https://github.com/code-yeongyu/oh-my-openagent --skill pre-publish-review 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

pre-publish-review 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

pre-publish-review 用的人多吗?

公开数据是累计安装 2,916 次,近一周安装 124 次,下载 1,022 次,GitHub 55,210 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

pre-publish-review 安全吗?

第三方扫描有未通过项,风险较高。除非你确认过源码,否则不建议直接安装到常用环境。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 来源仓库有 55,210 星,维护活跃度相对可查。

先想清楚的地方

  • 需要执行命令,装到常用环境前要先评估影响面。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 不能接受 Skill 在你机器上执行命令的人。
  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
pre-publish-review

发布前审查 · 本页

2,91655,210执行命令未明确未通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Pre-Publish Review — 16-Agent Release Gate

Three-layer review before publishing to npm. Every layer covers a different angle — together they catch what no single reviewer could.

LayerAgentsTypeWhat They Check
Per-Change Deep Diveup to 10ultrabrainEach logical change group individually — correctness, edge cases, pattern adherence
Holistic Review5review-workGoal compliance, QA execution, code quality, security, context mining across full changeset
Release Synthesis1oracleOverall release readiness, version bump, breaking changes, deployment risk

Phase 0: Detect Unpublished Changes

Run /get-unpublished-changes FIRST. This is the single source of truth for what changed.

skill(name="get-unpublished-changes")

This command automatically:

  • Detects published npm version vs local version
  • Lists all commits since last release
  • Reads actual diffs (not just commit messages) to describe REAL changes
  • Groups changes by type (feat/fix/refactor/docs) with scope
  • Identifies breaking changes
  • Recommends version bump (patch/minor/major)

Save the full output — it feeds directly into Phase 1 grouping and all agent prompts.

Then capture raw data needed by agent prompts:

# Extract versions (already in /get-unpublished-changes output)
PUBLISHED=$(npm view oh-my-opencode version 2>/dev/null || echo "not published")
LOCAL=$(node -p "require('./package.json').version" 2>/dev/null || echo "unknown")

# Raw data for agents (diffs, file lists)
COMMITS=$(git log "v${PUBLISHED}"..HEAD --oneline 2>/dev/null || echo "no commits")
COMMIT_COUNT=$(echo "$COMMITS" | wc -l | tr -d ' ')
DIFF_STAT=$(git diff "v${PUBLISHED}"..HEAD --stat 2>/dev/null || echo "no diff")
CHANGED_FILES=$(git diff --name-only "v${PUBLISHED}"..HEAD 2>/dev/null || echo "none")
FILE_COUNT=$(echo "$CHANGED_FILES" | wc -l | tr -d ' ')

If PUBLISHED is "not published", this is a first release — use the full git history instead.

Phase 1: Parse Changes into Groups

Use the /get-unpublished-changes output as the starting point — it already groups by scope and type.

Grouping strategy:

  1. Start from the /get-unpublished-changes analysis which already categorizes by feat/fix/refactor/docs with scope
  2. Further split by module/area — changes touching the same module or feature area belong together
  3. Target up to 10 groups. If fewer than 10 commits, each commit is its own group. If more than 10 logical areas, merge the smallest groups.
  4. For each group, extract:

- Group name: Short descriptive label (e.g., "agent-model-resolution", "hook-system-refactor") - Commits: List of commit hashes and messages - Files: Changed files in this group - Diff: The relevant portion of the full diff (git diff v${PUBLISHED}..HEAD -- {group files})


Phase 2: Spawn All Agents

Launch ALL agents in a single turn. Every agent uses run_in_background=true. No sequential launches.

Layer 1: Ultrabrain Per-Change Analysis (up to 10)

For each change group, spawn one ultrabrain agent. Each gets only its portion of the diff — not the full changeset.

task(
  category="ultrabrain",
  run_in_background=true,
  load_skills=[],
  description="Deep analysis: {GROUP_NAME}",
  prompt="""
<review_type>PER-CHANGE DEEP ANALYSIS</review_type>
<change_group>{GROUP_NAME}</change_group>

<project>oh-my-opencode (npm package)</project>
<published_version>{PUBLISHED}</published_version>
<target_version>{LOCAL}</target_version>

<commits>
{GROUP_COMMITS — hash and message for each commit in this group}
</commits>

<changed_files>
{GROUP_FILES — files changed in this group}
</changed_files>

<diff>
{GROUP_DIFF — only the diff for this group's files}
</diff>

<file_contents>
{Read and include full content of each changed file in this group}
</file_contents>

You are reviewing a specific subset of changes heading into an npm release. Focus exclusively on THIS change group. Other groups are reviewed by parallel agents.

ANALYSIS CHECKLIST:

1. **Intent Clarity**: What is this change trying to do? Is the intent clear from the code and commit messages? If you have to guess, that's a finding.

2. **Correctness**: Trace through the logic for 3+ scenarios. Does the code actually do what it claims? Off-by-one errors, null handling, async edge cases, resource cleanup.

3. **Breaking Changes**: Does this change alter any public API, config format, CLI behavior, or hook contract? If yes, is it backward compatible? Would existing users be surprised?

4. **Pattern Adherence**: Does the new code follow the established patterns visible in the existing file contents? New patterns where old ones exist = finding.

5. **Edge Cases**: What inputs or conditions would break this? Empty arrays, undefined values, concurrent calls, very large inputs, missing config fields.

6. **Error Handling**: Are errors properly caught and propagated? No empty catch blocks? No swallowed promises?

7. **Type Safety**: Any `as any`, `@ts-ignore`, `@ts-expect-error`? Loose typing where strict is possible?

8. **Test Coverage**: Are the behavioral changes covered by tests? Are the tests meaningful or just coverage padding?

9. **Side Effects**: Could this change break something in a different module? Check imports and exports — who depends on what changed?

10. **Release Risk**: On a scale of SAFE / CAUTION / RISKY — how confident are you this change won't cause issues in production?

OUTPUT FORMAT:
<group_name>{GROUP_NAME}</group_name>
<verdict>PASS or FAIL</verdict>
<risk>SAFE / CAUTION / RISKY</risk>
<summary>2-3 sentence assessment of this change group</summary>
<has_breaking_changes>YES or NO</has_breaking_changes>
<breaking_change_details>If YES, describe what breaks and for whom</breaking_change_details>
<findings>
  For each finding:
  - [CRITICAL/MAJOR/MINOR] Category: Description
  - File: path (line range)
  - Evidence: specific code reference
  - Suggestion: how to fix
</findings>
<blocking_issues>Issues that MUST be fixed before publish. Empty if PASS.</blocking_issues>
""")

Layer 2: Holistic Review via /review-work (5 agents)

Spawn a sub-agent that loads the /review-work skill. The review-work skill internally launches 5 parallel agents: Oracle (goal verification), unspecified-high (QA execution), Oracle (code quality), Oracle (security), unspecified-high (context mining). All 5 must pass for the review to pass.

task(
  category="unspecified-high",
  run_in_background=true,
  load_skills=["review-work"],
  description="Run /review-work on all unpublished changes",
  prompt="""
Run /review-work on the unpublished changes between v{PUBLISHED} and HEAD.

GOAL: Review all changes heading into npm publish of oh-my-opencode. These changes span {COMMIT_COUNT} commits across {FILE_COUNT} files.

CONSTRAINTS:
- This is a plugin published to npm — public API stability matters
- TypeScript strict mode, Bun runtime
- No `as any`, `@ts-ignore`, `@ts-expect-error`
- Factory pattern (createXXX) for tools, hooks, agents
- kebab-case files, barrel exports, no catch-all files

BACKGROUND: Pre-publish review of oh-my-opencode, an OpenCode plugin with 1268 TypeScript files, 160k LOC. Changes since v{PUBLISHED} are about to be published.

The diff base is: git diff v{PUBLISHED}..HEAD

Follow the /review-work skill flow exactly — launch all 5 review agents and collect results. Do NOT skip any of the 5 agents.
""")

Layer 3: Oracle Release Synthesis (1 agent)

The oracle gets the full picture — all commits, full diff stat, and changed file list. It provides the final release readiness assessment.

task(
  subagent_type="oracle",
  run_in_background=true,
  load_skills=[],
  description="Oracle: overall release synthesis and version bump recommendation",
  prompt="""
<review_type>RELEASE SYNTHESIS — OVERALL ASSESSMENT</review_type>

<project>oh-my-opencode (npm package)</project>
<published_version>{PUBLISHED}</published_version>
<local_version>{LOCAL}</local_version>

<all_commits>
{ALL COMMITS since published version — hash, message, author, date}
</all_commits>

<diff_stat>
{DIFF_STAT — files changed, insertions, deletions}
</diff_stat>

<changed_files>
{CHANGED_FILES — full list of modified file paths}
</changed_files>

<full_diff>
{FULL_DIFF — the complete git diff between published version and HEAD}
</full_diff>

<file_contents>
{Read and include full content of KEY changed files — focus on public API surfaces, config schemas, agent definitions, hook registrations, tool registrations}
</file_contents>

You are the final gate before an npm publish. 10 ultrabrain agents are reviewing individual changes and 5 review-work agents are doing holistic review. Your job is the bird's-eye view that those focused reviews might miss.

SYNTHESIS CHECKLIST:

1. **Release Coherence**: Do these changes tell a coherent story? Or is this a grab-bag of unrelated changes that should be split into multiple releases?

2. **Version Bump**: Based on semver:
   - PATCH: Bug fixes only, no behavior changes
   - MINOR: New features, backward-compatible changes
   - MAJOR: Breaking changes to public API, config format, or behavior
   Recommend the correct bump with specific justification.

3. **Breaking Changes Audit**: Exhaustively list every change that could break existing users. Check:
   - Config schema changes (new required fields, removed fields, renamed fields)
   - Agent behavior changes (different prompts, different model routing)
   - Hook contract changes (new parameters, removed hooks, renamed hooks)
   - Tool interface changes (new required params, different return types)
   - CLI changes (new commands, changed flags, different output)
   - Skill format changes (SKILL.md schema changes)

4. **Migration Requirements**: If there are breaking changes, what migration steps do users need? Is there auto-migration in place?

5. **Dependency Changes**: New dependencies added? Dependencies removed? Version bumps? Any supply chain risk?

6. **Changelog Draft**: Write a draft changelog entry grouped by:
   - feat: New features
   - fix: Bug fixes
   - refactor: Internal changes (no user impact)
   - breaking: Breaking changes with migration instructions
   - docs: Documentation changes

7. **Deployment Risk Assessment**:
   - SAFE: Routine changes, well-tested, low risk
   - CAUTION: Significant changes but manageable risk
   - RISKY: Large surface area changes, insufficient testing, or breaking changes without migration
   - BLOCK: Critical issues found, do NOT publish

8. **Post-Publish Monitoring**: What should be monitored after publish? Error rates, specific features, user feedback channels.

OUTPUT FORMAT:
<verdict>SAFE / CAUTION / RISKY / BLOCK</verdict>
<recommended_version_bump>PATCH / MINOR / MAJOR</recommended_version_bump>
<version_bump_justification>Why this bump level</version_bump_justification>
<release_coherence>Assessment of whether changes belong in one release</release_coherence>
<breaking_changes>
  Exhaustive list, or "None" if none.
  For each:
  - What changed
  - Who is affected
  - Migration steps
</breaking_changes>
<changelog_draft>
  Ready-to-use changelog entry
</changelog_draft>
<deployment_risk>
  Overall risk assessment with specific concerns
</deployment_risk>
<monitoring_recommendations>
  What to watch after publish
</monitoring_recommendations>
<blocking_issues>Issues that MUST be fixed before publish. Empty if SAFE.</blocking_issues>
""")

Phase 3: Collect Results

As agents complete (system notifications), collect via background_output(task_id="...").

Track completion in a table:

#AgentTypeStatusVerdict
1-10Ultrabrain: {group_name}ultrabrainpending—
11Review-Work Coordinatorunspecified-highpending—
12Release Synthesis Oracleoraclepending—

Do NOT deliver the final report until ALL agents have completed.


Phase 4: Final Verdict

<verdict_logic>

BLOCK if:

  • Oracle verdict is BLOCK
  • Any ultrabrain found CRITICAL blocking issues
  • Review-work failed on any MAIN agent

RISKY if:

  • Oracle verdict is RISKY
  • Multiple ultrabrains returned CAUTION or FAIL
  • Review-work passed but with significant findings

CAUTION if:

  • Oracle verdict is CAUTION
  • A few ultrabrains flagged minor issues
  • Review-work passed cleanly

SAFE if:

  • Oracle verdict is SAFE
  • All ultrabrains passed
  • Review-work passed

</verdict_logic>

Compile the final report:

# Pre-Publish Review — oh-my-opencode

## Release: v{PUBLISHED} -> v{LOCAL}
**Commits:** {COMMIT_COUNT} | **Files Changed:** {FILE_COUNT} | **Agents:** {AGENT_COUNT}

---

## Overall Verdict: SAFE / CAUTION / RISKY / BLOCK

## Recommended Version Bump: PATCH / MINOR / MAJOR
{Justification from Oracle}

---

## Per-Change Analysis (Ultrabrains)

| # | Change Group | Verdict | Risk | Breaking? | Blocking Issues |
|---|-------------|---------|------|-----------|-----------------|
| 1 | {name} | PASS/FAIL | SAFE/CAUTION/RISKY | YES/NO | {count or "none"} |
| ... | ... | ... | ... | ... | ... |

### Blocking Issues from Per-Change Analysis
{Aggregated from all ultrabrains — deduplicated}

---

## Holistic Review (Review-Work)

| # | Review Area | Verdict | Confidence |
|---|------------|---------|------------|
| 1 | Goal & Constraint Verification | PASS/FAIL | HIGH/MED/LOW |
| 2 | QA Execution | PASS/FAIL | HIGH/MED/LOW |
| 3 | Code Quality | PASS/FAIL | HIGH/MED/LOW |
| 4 | Security | PASS/FAIL | Severity |
| 5 | Context Mining | PASS/FAIL | HIGH/MED/LOW |

### Blocking Issues from Holistic Review
{Aggregated from review-work}

---

## Release Synthesis (Oracle)

### Breaking Changes
{From Oracle — exhaustive list or "None"}

### Changelog Draft
{From Oracle — ready to use}

### Deployment Risk
{From Oracle — specific concerns}

### Post-Publish Monitoring
{From Oracle — what to watch}

---

## All Blocking Issues (Prioritized)
{Deduplicated, merged from all three layers, ordered by severity}

## Recommendations
{If BLOCK/RISKY: exactly what to fix, in priority order}
{If CAUTION: suggestions worth considering before publish}
{If SAFE: non-blocking improvements for future}

Anti-Patterns

ViolationSeverity
Publishing without waiting for all agentsCRITICAL
Spawning ultrabrains sequentially instead of in parallelCRITICAL
Using run_in_background=false for any agentCRITICAL
Skipping the Oracle synthesisHIGH
Not reading file contents for Oracle (it cannot read files)HIGH
Grouping all changes into 1-2 ultrabrains instead of distributingHIGH
Delivering verdict before all agents completeHIGH
Not including diff in ultrabrain promptsMAJOR

平台分布

Codex

35.12%
按下载量换算359

Claude

30.5%
按下载量换算312

Cursor

19.29%
按下载量换算197

Gemini CLI

8.74%
按下载量换算89

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

未通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/code-yeongyu/oh-my-openagent --skill pre-publish-review 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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