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Agent Skill · 研究检索

review-skill-parallel(复习技能平行)

review-skill-parallel 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。

review-skill-parallel 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,权限为只读;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 72,323。

总安装 188周安装 8GitHub Stars 公开资料未说明下载 66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:review-skill-parallel(复习技能平行)
来源仓库:https://github.com/corygabrielsen/skills
仓库路径:skills/review-skill-parallel
安装命令:
npx skills add https://github.com/corygabrielsen/skills --skill review-skill-parallel
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/corygabrielsen/skills --skill review-skill-parallel

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。

review-skill-parallel 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词快速定位候选结果时使用。它适用于并行处理、技能分析和线索筛选等研究检索类任务场景。通过关键词、任务场景或来源线索调用,可结合仓库 README 核验具体用法。

安装前建议确认权限范围和维护状态,注意是否会触发联网或文件读写操作。可通过 npx skills add 命令从指定 GitHub 仓库安装使用。

来源仓库内路径:skills/review-skill-parallel

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/corygabrielsen/skills --skill review-skill-par…;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

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

review-skill-parallel 怎么安装?

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

review-skill-parallel 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。

review-skill-parallel 需要什么权限?

权限级别是只读。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。

review-skill-parallel 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。

review-skill-parallel 用的人多吗?

公开数据是累计安装 188 次,近一周安装 8 次,下载 66 次。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。

review-skill-parallel 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

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。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 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。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 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
review-skill-parallel

复习技能平行 · 本页

188—只读未明确通过

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

Review Skill (Parallel)

You are a skill document reviewer. You launch reviewers and address their findings. Multiple identical reviewers catch different issues through execution diversity.

Core Philosophy

Every finding demands document improvement. No exceptions.

When a reviewer flags something, the document changes. Always. Either:

  • Real inconsistency → fix the document
  • False positive → the document was unclear; rewrite until the intent is obvious
  • Design tradeoff → document the rationale explicitly

There is no "dismiss," no "accept risk," no "wontfix." If a reviewer misunderstood, that's a signal the document isn't self-evident — another LLM executing this skill would misunderstand too. The document must become clearer.

The goal: a document so clear that no reviewer can find *anything* to flag. Not because you argued them down, but because the document is both correct AND self-evident.


Core Concept

┌─────────────────┐     ┌───────────────────┐
│  n reviewers    │────▶│  You address      │
│  (fungible)     │     │                   │
└─────────────────┘     └───────────────────┘

This diagram is conceptual — the phase sequence is: Initialize → Review → Parse Output → Synthesize → Triage → Plan Approval → Address → Verify → Change Confirmation → Epilogue.

You address the reviewers' findings through the phases below.

State Schema

Track state:

target_file: "" # Path to skill file being edited
parallel_review_count: 3 # -n flag (default 3)
task_ids: [] # Task IDs for result collection (working context, not persisted)
# issue_tracker: markdown table (see Parse Output phase); working context, not persisted

Tools Assumed

This skill uses standard Claude Code tools without detailed explanation:

  • Task — Launch background agents; takes description, prompt, subagent_type, run_in_background; returns task_id
  • TaskOutput — Retrieve agent results (task_id, block, timeout)
  • Edit — Modify files (file_path, old_string, new_string)
  • AskUserQuestion — Present options to user; takes questions array (always an array, even for single questions) containing objects with question, header, options (array of {label, description}), multiSelect

Phase: Initialize

Do:

  • Accept target skill file path from args
  • Validate file exists and is a SKILL.md
  • Initialize state

Don't:

  • ❌ Start without a target file — require explicit path
  • ❌ Review non-skill files — this skill is for SKILL.md files only

On activation:

  1. Parse args for target file: /review-skill-parallel path/to/SKILL.md # Review with 3 parallel reviewers /review-skill-parallel path/to/SKILL.md -n 5 # 5 parallel reviewers
  2. Validate target exists and contains YAML frontmatter with name: field
  3. Initialize state

Args:

  • First positional arg: path to SKILL.md (required)
  • -n <count>: number of parallel reviewers (default: 3)

Phase: Review

Launch n parallel reviewers. All reviewers are fungible — identical prompt.

Do:

  • Use Task tool with run_in_background: true
  • Launch all n reviewers in a single message (parallel)
  • Use identical prompt for all reviewers
  • Record all task IDs for result collection

Don't:

  • ❌ Run reviews sequentially — always parallel
  • ❌ Do the review yourself — delegate to reviewers
  • ❌ Customize prompts per reviewer — all reviewers are fungible

Review Prompt Template

All reviewers receive the same prompt:

You are reviewing {target_file} for internal consistency and clarity issues.

This is a skill document that instructs an LLM how to perform a task.
The goal is a document so clear that no reviewer finds anything to flag.

Look for:
- Terminology inconsistencies (e.g., same concept with different names)
- Contradictions between sections
- Unclear or ambiguous instructions
- Structural issues (missing sections, formatting inconsistencies)
- Philosophy not consistently applied

Read the full file carefully. Report findings that could cause an LLM to misunderstand or incorrectly execute the skill. Ignore stylistic preferences.

Output format:
FINDINGS:
1. Line X: [issue description]
2. Line Y: [issue description]
...

OR

NO FINDINGS - document is internally consistent.

Example: Launch n=3 Reviewers in a Single Message

Task(
  description: "Review {target_file} (1/3)",
  prompt: "[review prompt with {target_file} substituted]",
  subagent_type: "general-purpose",
  run_in_background: true
)
Task(
  description: "Review {target_file} (2/3)",
  prompt: "[same review prompt]",
  subagent_type: "general-purpose",
  run_in_background: true
)
Task(
  description: "Review {target_file} (3/3)",
  prompt: "[same review prompt]",
  subagent_type: "general-purpose",
  run_in_background: true
)

Each Task tool invocation returns a task_id (store these in task_ids for use in Parse Output).


Phase: Parse Output

Collect results from all n reviewers and merge into the issue tracker.

Do:

  • Use TaskOutput tool to collect results from each reviewer: TaskOutput(task_id: "task_id_here", block: true, timeout: 120000)
  • Extract findings from each reviewer's output
  • Merge into issue tracker, deduplicating similar findings (same line + similar description = one finding)
  • Record which reviewers found each issue

No findings = all n reviewers return "NO FINDINGS". If ANY reviewer has findings, proceed to Synthesize.

Don't:

  • ❌ Skip findings because they seem minor — every finding gets tracked
  • ❌ Proceed before all reviewers complete — wait for all n

Evaluate n Parallel Results

results = [reviewer_1, reviewer_2, ..., reviewer_n]

if ALL n results are "NO FINDINGS":
    → Skip Synthesize/Triage/Plan Approval/Address/Verify/Change Confirmation; present "No findings." and proceed directly to Epilogue (no AskUserQuestion needed)
else:
    # ANY reviewer has findings
    → Merge all findings into tracker
    → Proceed to Synthesize phase

Issue Tracker Format

|  ID   | Line | Issue               | Status | Reviewers |
| :---: | :--: | :------------------ | :----: | :-------: |
| F-001 | {n}  | [issue description] |  open  |    1,3    |
| F-002 | {n}  | [issue description] |  open  |     2     |

The "Reviewers" column shows which of the n reviewers (numbered 1 through n) flagged this issue.

Statuses:

  • open — finding identified, not yet addressed
  • planned — resolution proposed, awaiting human approval in Plan Approval phase
  • fixed — real inconsistency corrected
  • clarified — wording improved (for false positives) or rationale documented (for design tradeoffs) to prevent future misunderstanding

Phase: Synthesize

Zoom out. Understand the document as a system before addressing any finding.

This step is not optional, and it's not just for "complex" findings.

Skill documents have interconnected sections, implicit contracts between phases, and terminology that must be consistent throughout. A finding that looks like a simple wording fix often touches deeper structural issues.

The Protocol

  1. Read the full context — Not just the flagged line. Read the entire section, the sections it references, and the sections that reference it. The finding is a pointer; the truth is in the document structure.
  2. Map the system — Trace the relevant connections:

- What phases reference this concept? - What terminology chains exist (does "agent" here connect to "reviewer" elsewhere)? - What implicit contracts exist between sections?

  1. Look for patterns — Findings in the same area or touching the same concept may share a root cause. A single finding may reveal a pattern repeated elsewhere.
  2. Ask the hard questions:

- What contract should this section uphold? - Does every reference honor that contract? - What would a surface-level fix miss? - Is there a structural issue underneath?

  1. Challenge yourself — "Is this my best effort? What haven't I considered?"

Group by Theme

After understanding the system, organize findings for triage:

  • Review all findings together as a set
  • Identify themes and patterns (e.g., "terminology inconsistency" appears in 8 findings)
  • Group findings by root cause
  • Name each theme clearly (2-5 words)
  • Aim for 3-7 themes, not 15 — if you have too many, you haven't found the root causes

Do:

  • Understand the document structure before grouping
  • Map how sections interconnect
  • Find root causes, not just surface patterns
  • Note how many findings each theme covers
  • List unrelated findings separately (don't force into themes)

Don't:

  • ❌ Skip straight to triaging findings one-by-one — always synthesize first
  • ❌ Group mechanically without understanding — themes should reflect *why* findings exist
  • ❌ Force unrelated findings into themes — list them individually instead

Common Theme Patterns

  • Terminology inconsistency: Same concept, different names (commonly the largest category)
  • Structural inconsistency: Missing sections, formatting variations
  • Flow/reference errors: Wrong phase names, outdated cross-references
  • Contract violations: Section promises something another section doesn't deliver
  • Scope bleed: Content that belongs in a different skill/phase
  • Redundancy: Same information repeated with slight variations

Theme Summary Format

## Synthesize: {finding_count} findings in {theme_count} themes

| Theme        | Findings          | Root cause   |
| ------------ | ----------------- | ------------ |
| [theme name] | F-001, F-002, ... | [root cause] |
| [theme name] | F-003, F-004, ... | [root cause] |

**Unrelated findings** (no shared root cause):

- F-010: [individual description]
- F-011: [individual description]
- F-012: [individual description]

Addressing one theme often resolves multiple findings simultaneously. Understanding *why* the theme exists prevents incomplete fixes.


Phase: Triage

Propose resolutions by theme, not by individual finding. Don't make edits yet.

Work through themes identified in Synthesize. For each theme, propose one root-cause fix that resolves all findings in that group.

Do:

  • Work theme-by-theme from Synthesize output
  • Read context around each theme's findings
  • Propose ONE resolution per theme (not per finding)
  • Categorize: real inconsistency, false positive, or design tradeoff
  • Update all findings in theme to planned status
  • Handle unrelated findings individually (not by theme)

Don't:

  • ❌ Make edits during triage — propose only
  • ❌ Dismiss findings — every finding gets a proposed resolution
  • ❌ Triage findings within a theme one-by-one — work by theme
  • ❌ Blame the reviewer — if an LLM got confused, another will too

Triage Table

Finding TypeResolution TypeFinal Status (after Address)
Real inconsistencyFix the documentfixed
False positiveRewrite until intent is obviousclarified
Design tradeoffDocument rationale explicitlyclarified

Triage changes status from open → planned. Address phase changes planned → final status (fixed or clarified).


Phase: Plan Approval

Present findings and proposed resolutions to user BEFORE making any edits.

This is the first human-in-the-loop checkpoint. The user can:

  • Approve the plan and proceed to edits
  • Modify proposed resolutions
  • Add context or requirements
  • Request different approaches

Do:

  • Present executive summary with findings and proposed resolutions
  • Explain the reasoning behind each proposed resolution
  • Use AskUserQuestion tool with clear options
  • Wait for explicit approval before any edits

Don't:

  • ❌ Make edits before approval — this is a PLAN checkpoint
  • ❌ Skip this checkpoint — human input is critical before changes
  • ❌ Assume approval — wait for explicit response

Plan Summary Template

Present the themes and proposed fixes from Triage. Present by theme; unrelated findings are listed individually. This makes review tractable for users.

## Review Findings: {finding_count} findings in {theme_count} themes

### Theme 1: [theme name] ({n} findings)

**Root cause**: [why this pattern exists]

**Findings**: F-001, F-002, ...

**Proposed fix**: [single fix that resolves all findings in theme]

---

### Theme 2: [theme name] ({n} findings)

**Root cause**: [why this pattern exists]

**Findings**: F-003, F-004, ...

**Proposed fix**: [single fix that resolves all findings in theme]

---

### Unrelated findings ({n} findings)

These have no shared root cause; list individually:

**F-005** (line {n}): [issue description]

- Fix: [specific fix]

**F-006** (line {n}): [issue description]

- Fix: [specific fix]

---

### Summary

- {theme_count} themes covering {themed_findings} findings + {unrelated_count} unrelated = {total} findings
- {themed_findings} resolved via root-cause fixes, {unrelated_count} via standalone fixes

Plan Approval Options

AskUserQuestion(
  questions: [{
    question: "Approve plan to address these findings?",
    header: "Plan",
    options: [
      {label: "Approve plan", description: "Proceed to make edits"},
      {label: "Modify plan", description: "I'll provide different approach"},
      {label: "Need more context", description: "Show me the relevant document sections"},
      {label: "Abort", description: "Do not make any changes"}
    ],
    multiSelect: false
  }]
)

Phase: Address

Execute the approved plan. Make edits to resolve all findings.

Do:

  • Address all planned findings from the tracker
  • Use Edit for targeted changes
  • Update tracker status as you go (planned → fixed or clarified)
  • Process unrelated findings individually

Don't:

  • ❌ Deviate from approved plan — execute what was approved
  • ❌ Skip any finding — every approved resolution must be executed
  • ❌ Make changes without reading the relevant sections first
  • ❌ Over-edit — make minimal changes to resolve each finding

Address Protocol

For each theme (or individual unrelated finding):

  1. Read context — Read the section(s) containing the finding
  2. Identify resolution — Fix, clarify, or document rationale
  3. Make edit — Use Edit tool with precise old_string/new_string
  4. Update tracker — Mark as fixed or clarified (from planned)

Example: Addressing a Finding

Finding F-001: [issue description]

Resolution: [how to fix]

Edit(
  file_path: "{target_file}",
  old_string: "[text to replace]",
  new_string: "[replacement text]"
)

Update tracker: F-001 status → fixed

Phase: Verify

Verify all changes were made correctly.

Do:

  • Re-read all sections that were modified
  • Confirm each finding was properly addressed
  • Check for unintended side effects from edits
  • Ensure tracker shows all findings as fixed or clarified

Don't:

  • ❌ Skip verification — always re-read modified sections
  • ❌ Proceed with unaddressed findings — all must be resolved

Verification Checklist

[ ] All findings in tracker are `fixed` or `clarified`
[ ] Re-read each modified section
[ ] No new inconsistencies introduced by edits
[ ] Document still parses correctly (YAML frontmatter valid)

Phase: Change Confirmation

Present executed changes to user and get explicit confirmation.

This is the second human-in-the-loop checkpoint. The user confirms the changes were executed correctly.

Do:

  • Present summary of changes made (not proposed — actually executed)
  • Show which findings were resolved and how
  • Use AskUserQuestion tool with clear options
  • Wait for explicit confirmation

Don't:

  • ❌ Skip this checkpoint — human confirmation is mandatory
  • ❌ Assume confirmation — wait for explicit response

Note: When there are no findings, this phase is skipped (see Parse Output).

Change Summary Template

## Changes Executed

### Findings Addressed: {finding_count}

| ID    | Line | Issue   | Resolution Applied |
| ----- | ---- | ------- | ------------------ |
| F-001 | {n}  | [issue] | [resolution]       |
| F-002 | {n}  | [issue] | [resolution]       |

### Edits Made

1. Line {n}: [change description]
2. Line {n}: [change description]

### Verification

- [ ] All planned resolutions executed
- [ ] Modified sections re-read
- [ ] No new inconsistencies introduced

Confirmation Options

AskUserQuestion(
  questions: [{
    question: "Confirm changes were executed correctly?",
    header: "Confirm",
    options: [
      {label: "Confirm", description: "Changes look correct"},
      {label: "View diff", description: "Show git diff (requires git), then re-ask"},
      {label: "Revert", description: "Something went wrong, undo changes"},
      {label: "Modify", description: "Need additional changes"}
    ],
    multiSelect: false
  }]
)

Phase: Epilogue

Wrap up and report results.

Do:

  • For no findings: Present "No findings." and end
  • For findings addressed: Report what was fixed
  • End the skill cleanly

Don't:

  • ❌ Skip the completion message — always report outcome
  • ❌ Continue after reporting — the skill is complete

For no findings: Present "No findings." and end. (No user confirmation needed.)

For findings addressed (after user confirms changes):

  1. Report results: Review complete. Findings: {finding_count} addressed
  2. End the skill.

Quick Reference: Don'ts

*Summary table — see each phase section for full context and rationale.*

PhaseDon'ts
InitializeStart without target file, review non-skill files
ReviewRun sequentially, do the review yourself, customize prompts per reviewer
Parse OutputSkip minor findings, proceed before all reviewers complete
SynthesizeSkip straight to triaging findings one-by-one, group mechanically without understanding, force unrelated findings into themes
TriageMake edits during triage, dismiss findings, triage findings within a theme one-by-one, blame reviewer
Plan ApprovalMake edits before approval, skip checkpoint, assume approval
AddressDeviate from plan, skip findings, edit without reading context, over-edit
VerifySkip verification, proceed with unaddressed findings
Change ConfirmationSkip checkpoint, assume confirmation
EpilogueSkip completion message, continue after reporting

Begin /review-skill-parallel now. Parse args for target skill file path and -n flag (default: 3 reviewers). Launch n parallel reviewers in a single message with identical review prompts. Wait for all to complete. If all return NO FINDINGS, present "No findings." and proceed to Epilogue. Otherwise: synthesize findings into themes, triage by theme, get Plan Approval from user, execute the approved plan in Address, verify changes, and get Change Confirmation.

平台分布

Codex

36.19%
按下载量换算24

Claude

29.87%
按下载量换算20

Cursor

19.05%
按下载量换算13

Gemini CLI

8.66%
按下载量换算6

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。目前只有一个公开来源,建议同时核对源仓库。

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