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review-post-task审核帖子任务

Agent Skill

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。

总安装

776

周安装

32

GitHub Stars

6

下载量

253
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: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

简介

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。

SKILL.md

[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.

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

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。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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