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Agent Skill · 研究检索

review-post-task(审核帖子任务)

review-post-task 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-post-task 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,权限为需要联网;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 46,467。

总安装 776周安装 32GitHub Stars 6下载 253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-post-task(审核帖子任务)
来源仓库:https://github.com/duc01226/easyplatform
仓库路径:skills/review-post-task
安装命令:
npx skills add https://github.com/duc01226/easyplatform --skill review-post-task
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/duc01226/easyplatform --skill review-post-task

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-post-task 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。适用于任务分派、工作流编排和结果验收等研究检索类任务场景。通过状态机模型和优先级规则支持对任务生命周期的自动化管理。

安装前建议确认权限范围和维护状态,以及是否会触发联网或命令执行。可结合来源仓库和原始 README 文档核验具体用法和功能边界。

来源仓库内路径:skills/review-post-task

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/duc01226/easyplatform --skill review-post-task;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

    它需要需要联网,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

review-post-task 怎么安装?

在终端执行 npx skills add https://github.com/duc01226/easyplatform --skill review-post-task。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

review-post-task 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-post-task 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

review-post-task 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-post-task 用的人多吗?

公开数据是累计安装 776 次,近一周安装 32 次,下载 253 次,GitHub 6 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。

review-post-task 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。

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。

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-post-task

审核帖子任务 · 本页

7766需要联网未明确通过

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

[IMPORTANT] Use TaskCreate to break ALL work into small tasks BEFORE starting — including tasks for each file read. This prevents context loss from long files. For simple tasks, AI MUST ATTENTION ask user whether to skip.

Prerequisites: MUST ATTENTION READ before executing:

Understand Code First — HARD-GATE: Do NOT write, plan, or fix until you READ existing code. 1. Search 3+ similar patterns (grep/glob) — cite file:line evidence 2. Read existing files in target area — understand structure, base classes, conventions 3. Run python.claude/scripts/code_graph trace <file> --direction both --json when .code-graph/graph.db exists 4. Map dependencies via connections or callers_of — know what depends on your target 5. Write investigation to .ai/workspace/analysis/ for non-trivial tasks (3+ files) 6. Re-read analysis file before implementing — never work from memory alone 7. NEVER invent new patterns when existing ones work — match exactly or document deviation BLOCKED until: - [] Read target files - [] Grep 3+ patterns - [] Graph trace (if graph.db exists) - [] Assumptions verified with evidence
Design Patterns Quality — Priority checks for every code change: 1. DRY via OOP: Same-suffix classes (*Entity, *Dto, *Service) MUST ATTENTION share base class. 3+ similar patterns → extract to shared abstraction. 2. Right Responsibility: Logic in LOWEST layer (Entity > Domain Service > Application Service > Controller). Never business logic in controllers. 3. SOLID: Single responsibility (one reason to change). Open-closed (extend, don't modify). Liskov (subtypes substitutable). Interface segregation (small interfaces). Dependency inversion (depend on abstractions). 4. After extraction/move/rename: Grep ENTIRE scope for dangling references. Zero tolerance. 5. YAGNI gate: NEVER recommend patterns unless 3+ occurrences exist. Don't extract for hypothetical future use. Anti-patterns to flag: God Object, Copy-Paste inheritance, Circular Dependency, Leaky Abstraction.
Deep Multi-Round Review — THREE mandatory escalating-depth rounds. NEVER combine. NEVER PASS after Round 1 alone. Round 1: Normal review building understanding. Read all files, note issues. Round 2: MANDATORY re-read ALL files from scratch. Focus on: - Cross-cutting concerns missed in Round 1 - Interaction bugs between changed files - Convention drift (new code vs existing patterns) - Missing pieces (what should exist but doesn't) Round 3: MANDATORY adversarial simulation (for >3 files or cross-cutting changes). Pretend you are using/running this code RIGHT NOW: - "What input causes failure? What error do I get?" - "1000 concurrent users — what breaks?" - "After deployment rollback — backward compatible?" - "Can I debug issues from logs/monitoring output?" Rules: NEVER rely on prior round memory — re-read everything. NEVER declare PASS after Round 1. Final verdict must incorporate ALL rounds. Report must include ## Round 2 Findings and ## Round 3 Findings sections.
Graph Impact Analysis — When .code-graph/graph.db exists, run blast-radius --json to detect ALL files affected by changes (7 edge types: CALLS, MESSAGE_BUS, API_ENDPOINT, TRIGGERS_EVENT, PRODUCES_EVENT, TRIGGERS_COMMAND_EVENT, INHERITS). Compute gap: impacted_files - changed_files = potentially stale files. Risk: <5 Low, 5-20 Medium, >20 High. Use trace --direction downstream for deep chains on high-impact files.
Logic & Intention Review — Verify WHAT code does matches WHY it was changed. 1. Change Intention Check: Every changed file MUST ATTENTION serve the stated purpose. Flag unrelated changes as scope creep. 2. Happy Path Trace: Walk through one complete success scenario through changed code 3. Error Path Trace: Walk through one failure/edge case scenario through changed code 4. Acceptance Mapping: If plan context available, map every acceptance criterion to a code change NEVER mark review PASS without completing both traces (happy + error path).
Bug Detection — MUST ATTENTION check categories 1-4 for EVERY review. Never skip. 1. Null Safety: Can params/returns be null? Are they guarded? Optional chaining gaps? .find() returns checked? 2. Boundary Conditions: Off-by-one (< vs <=)? Empty collections handled? Zero/negative values? Max limits? 3. Error Handling: Try-catch scope correct? Silent swallowed exceptions? Error types specific? Cleanup in finally? 4. Resource Management: Connections/streams closed? Subscriptions unsubscribed on destroy? Timers cleared? Memory bounded? 5. Concurrency (if async): Missing await? Race conditions on shared state? Stale closures? Retry storms? 6. Stack-Specific: JS: === vs ==, typeof null. C#: async void, missing using, LINQ deferred execution. Classify: CRITICAL (crash/corrupt) → FAIL | HIGH (incorrect behavior) → FAIL | MEDIUM (edge case) → WARN | LOW (defensive) → INFO
Test Spec Verification — Map changed code to test specifications. 1. From changed files → find TC-{FEAT}-{NNN} in docs/business-features/{Service}/detailed-features/{Feature}.md Section 15 2. Every changed code path MUST ATTENTION map to a corresponding TC (or flag as "needs TC") 3. New functions/endpoints/handlers → flag for test spec creation 4. Verify TC evidence fields point to actual code (file:line, not stale references) 5. Auth changes → TC-{FEAT}-02x exist? Data changes → TC-{FEAT}-01x exist? 6. If no specs exist → log gap and recommend /tdd-spec NEVER skip test mapping. Untested code paths are the #1 source of production bugs.
Critical Purpose: Ensure quality — no flaws, no bugs, no missing updates, no stale content. Verify both code AND documentation.
MANDATORY IMPORTANT MUST ATTENTION Plan ToDo Task to READ the following project-specific reference docs: - docs/project-reference/code-review-rules.md — anti-patterns, review checklists, quality standards (READ FIRST) (content auto-injected by hook — check for [Injected:...] header before reading) - project-structure-reference.md — service list, directory tree, conventions If files not found, search for: project documentation, coding standards, architecture docs.
OOP & DRY Enforcement: MANDATORY IMPORTANT MUST ATTENTION — flag duplicated patterns that should be extracted to a base class, generic, or helper. Classes in the same group or suffix (ex *Entity, *Dto, *Service, etc...) MUST ATTENTION inherit a common base (even if empty now — enables future shared logic and child overrides). Verify project has code linting/analyzer configured for the stack.

Quick Summary

Goal: Two-pass code review after task completion to catch issues before commit.

Workflow:

  1. Pass 1: File-by-File — Review each changed file individually
  2. Pass 2: Holistic — Assess overall approach, architecture, consistency
  3. Report — Summarize critical issues and recommendations

Key Rules:

  • Ensure quality: no flaws, no bugs, no missing updates, no stale content
  • Check both code AND documentation for completeness
  • Evidence-based findings with file:line references

Execute mandatory two-pass review protocol after completing code changes. Focus: $ARGUMENTS

Activate code-review skill and follow its workflow with post-task two-pass protocol:

Review Mindset (NON-NEGOTIABLE)

Be skeptical. Apply critical thinking, sequential thinking. Every claim needs traced proof, confidence percentages (Idea should be more than 80%).

  • Do NOT accept code correctness at face value — verify by reading actual implementations
  • Every finding must include file:line evidence (grep results, read confirmations)
  • If you cannot prove a claim with a code trace, do NOT include it in the report
  • Question assumptions: "Does this actually work?" → trace the call path to confirm
  • Challenge completeness: "Is this all?" → grep for related usages across services
  • Verify side effects: "What else does this change break?" → check consumers and dependents
  • No "looks fine" without proof — state what you verified and how

Core Principles (ENFORCE ALL)

YAGNI — Flag code solving hypothetical future problems (unused params, speculative interfaces, premature abstractions) KISS — Flag unnecessarily complex solutions. Ask: "Is there a simpler way?" DRY — Grep for similar/duplicate code across the codebase. If 3+ similar patterns exist, flag for extraction. Clean Code — Readable > clever. Names reveal intent. Functions do one thing. No deep nesting (≤3 levels). Methods <30 lines. Follow Convention — Before flagging ANY pattern violation, grep for 3+ existing examples. Codebase convention wins. No Flaws/No Bugs — Trace logic paths. Verify edge cases (null, empty, boundary). Check error handling. Proof Required — Every claim backed by file:line evidence or grep results. Speculation is forbidden. Doc Staleness — Cross-reference changed files against related docs (feature docs, test specs, READMEs). Flag any doc that is stale or missing updates to reflect current code changes.

Readability Checklist (MUST ATTENTION evaluate)

Before approving, verify the code is easy to read, easy to maintain, easy to understand:

  • Schema visibility — If a function computes a data structure (object, map, config), a comment should show the output shape so readers don't have to trace the code
  • Non-obvious data flows — If data transforms through multiple steps (A → B → C), a brief comment should explain the pipeline
  • Self-documenting signatures — Function params should explain their role; flag unused params
  • Magic values — Unexplained numbers/strings should be named constants or have inline rationale
  • Naming clarity — Variables/functions should reveal intent without reading the implementation

Protocol

Pass 1: Gather changes (git diff), apply project review checklist:

  • Backend: platform repos, validation, events, DTOs
  • Backend: seed data in data seeders (not migrations) — if data must exist after DB reset, it's a seeder
  • Frontend: base classes, stores, untilDestroyed, BEM
  • Architecture: layer placement, service boundaries
  • Convention: grep for 3+ similar patterns to verify code follows codebase conventions
  • Correctness: trace logic paths, check edge cases (null, empty, boundary values)
  • DRY: grep for duplicate/similar code across codebase
  • YAGNI/KISS: flag over-engineering, unnecessary abstractions, speculative features
  • Doc staleness: cross-reference changed files against docs/business-features/, test specs, READMEs — flag stale docs
[IMPORTANT] Database Performance Protocol (MANDATORY): 1. Paging Required — ALL list/collection queries MUST ATTENTION use pagination. NEVER load all records into memory. Verify: no unbounded GetAll(), ToList(), or Find() without Skip/Take or cursor-based paging. 2. Index Required — ALL query filter fields, foreign keys, and sort columns MUST ATTENTION have database indexes configured. Verify: entity expressions match index field order, database collections have index management methods, migrations include indexes for WHERE/JOIN/ORDER BY columns.

Fix issues found.

Pass 2 (MANDATORY — Fresh-Context Round 2): Delegate re-review to a fresh code-reviewer sub-agent for unbiased perspective. The sub-agent has ZERO memory of Pass 1 findings or fixes.

Spawn the sub-agent:

Agent({
  description: "Fresh-context Pass 2 holistic review",
  subagent_type: "code-reviewer",
  prompt: "## Task\nReview ALL uncommitted changes. This is a holistic second-pass review.\nYou are reviewing with completely fresh eyes — no knowledge of any prior review pass.\n\n## Review Scope\nRun git diff to see all uncommitted changes.\n\n## Focus Areas\n- Cross-cutting concerns spanning multiple changed files\n- Interaction bugs between changed files\n- Convention drift (new code vs existing patterns — grep 3+ examples)\n- Missing pieces (what should exist but doesn't)\n- Subtle edge cases (null, empty, boundary, off-by-one)\n- Over-engineering that may not be justified\n- Naming inconsistencies across files\n\nRead docs/project-reference/code-review-rules.md for project standards.\n\n## Output\nReturn structured findings:\n- **Status**: PASS or FAIL\n- **Issues**: [list with file:line evidence]\n- **Issue Count**: {number}\n\nEvery finding MUST have file:line evidence. No speculation."
})

After sub-agent returns, integrate findings into the main report as ## Round 2 Findings (Fresh-Context).

Round 2 Additional Focus:

  • Logic errors that Round 1 accepted at face value
  • Bug patterns that only emerge when viewing cross-file interactions
  • Test spec gaps visible only after seeing the full change set
Note: Round 2 is now performed by a fresh sub-agent. The focus areas above are included in the sub-agent's prompt.

Final Report: Task description, Pass 1/2 results, changes summary, issues fixed, remaining concerns.

Integration Notes

  • Auto-triggered by workflow orchestration after /cook, /fix, /code
  • Can be manually invoked with /review-post-task
  • For PR reviews, use /code-review instead
  • Use code-reviewer subagent for complex reviews

Systematic Review Protocol (for 10+ changed files)

When the changeset is large (10+ files), categorize files by concern, fire parallel code-reviewer sub-agents per category, then synchronize findings into a holistic report. See review-changes/SKILL.md § "Systematic Review Protocol" for the full 4-step protocol (Categorize → Parallel Sub-Agents → Synchronize → Holistic Assessment).

AI Agent Integrity Gate (NON-NEGOTIABLE)

Completion ≠ Correctness. Before reporting ANY work done, prove it: 1. Grep every removed name. Extraction/rename/delete touched N files? Grep confirms 0 dangling refs across ALL file types. 2. Ask WHY before changing. Existing values are intentional until proven otherwise. No "fix" without traced rationale. 3. Verify ALL outputs. One build passing ≠ all builds passing. Check every affected stack. 4. Evaluate pattern fit. Copying nearby code? Verify preconditions match — same scope, lifetime, base class, constraints. 5. New artifact = wired artifact. Created something? Prove it's registered, imported, and reachable by all consumers.

Closing Reminders

  • IMPORTANT MUST ATTENTION break work into small todo tasks using TaskCreate BEFORE starting
  • IMPORTANT MUST ATTENTION search codebase for 3+ similar patterns before creating new code
  • IMPORTANT MUST ATTENTION cite file:line evidence for every claim (confidence >80% to act)
  • IMPORTANT MUST ATTENTION add a final review todo task to verify work quality
  • IMPORTANT MUST ATTENTION execute two review rounds (Round 1: understand, Round 2: catch missed issues) MANDATORY IMPORTANT MUST ATTENTION READ the following files before starting:
  • IMPORTANT MUST ATTENTION search 3+ existing patterns and read code BEFORE any modification. Run graph trace when graph.db exists.
  • IMPORTANT MUST ATTENTION check DRY via OOP, right responsibility layer, SOLID. Grep for dangling refs after moves.
  • IMPORTANT MUST ATTENTION execute TWO review rounds. Round 2 delegates to fresh code-reviewer sub-agent (zero prior context).
  • IMPORTANT MUST ATTENTION run graph impact analysis on changed files. Compute gap: impacted minus changed = potentially stale.
  • IMPORTANT MUST ATTENTION verify WHAT code does matches WHY it changed. Trace happy + error paths.
  • IMPORTANT MUST ATTENTION check null safety, boundaries, error handling, resource management for every review.
  • IMPORTANT MUST ATTENTION map changed code paths to TC-{FEAT}-{NNN}. Flag untested paths.

平台分布

Codex

36.13%
按下载量换算91

Claude

30.9%
按下载量换算78

Cursor

19.47%
按下载量换算49

Gemini CLI

10.44%
按下载量换算26

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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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