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Agent Skill · 研究检索

skill-system-review(技能系统回顾)

skill-system-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。

skill-system-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,权限为可写文件;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 52,216。

总安装 563周安装 23GitHub Stars 4下载 180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:skill-system-review(技能系统回顾)
来源仓库:https://github.com/arthur0824hao/skills
仓库路径:skills/skill-system-review
安装命令:
npx skills add https://github.com/arthur0824hao/skills --skill skill-system-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/arthur0824hao/skills --skill skill-system-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。

skill-system-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。— 取得了什么成就。讨论点[]。——用户的权衡、担忧、问题。下一个动作[]。——后续工作项目。质量评估。——结构化的质量评价。写评论收件箱。将 Prometheus 输出转换为 TKT 可摄取的票据。刷新评论收件箱()。

来源仓库内路径:skills/skill-system-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/arthur0824hao/skills --skill skill-system-revi…;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

    它需要可写文件,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

skill-system-review 怎么安装?

在终端执行 npx skills add https://github.com/arthur0824hao/skills --skill skill-system-review。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

skill-system-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。

skill-system-review 需要什么权限?

权限级别是可写文件。该 Skill 可能写入或修改本地文件,使用前需要确认目标目录和修改范围。

skill-system-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。

skill-system-review 用的人多吗?

公开数据是累计安装 563 次,近一周安装 23 次,下载 180 次,GitHub 4 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。

skill-system-review 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

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。

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

  • 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
skill-system-review

技能系统回顾 · 本页

5634可写文件未明确有提醒

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

skill-system-review

Bridge between OMO Prometheus and the TKT ticket lifecycle.

Two directions:

  1. Review — After bundle closes, assemble structured review context for Prometheus to evaluate
  2. Plan→TKT — Convert Prometheus plans into TKT roadmap bundles and worker tickets

Operations

generate-review-prompt

Generate a structured review context from a completed/active ticket for Prometheus review.

python3 "<this-skill-dir>/scripts/review_prompt.py" generate-review-prompt --ticket-id <TKT-XXX>

Input: --ticket-id (required) — the ticket to build review context for Output: JSON with review_context, prometheus_prompt, expected_output_format

Reads:

  • Bundle review.yaml (stub generated by tkt.sh close)
  • All completed ticket results in the bundle
  • Audit ticket (TKT-A00) findings
  • Current roadmap.yaml state

generate-startup-review-prompt

Generate a review overview prompt for Prometheus at session startup (no active ticket context).

python3 "<this-skill-dir>/scripts/review_prompt.py" generate-startup-review-prompt

Output: JSON with roadmap_summary, bundles, prometheus_prompt

generate-startup-review

Generate a compact startup context summary for the next session.

python3 "<this-skill-dir>/scripts/review_prompt.py" generate-startup-review

Output: JSON with context_summary, roadmap_summary, bundles

  • includes carryover_bundles[] when reviewed bundles still have carryover work

suggest-roadmap-update

Suggest roadmap changes from findings/issues without mutating roadmap.yaml.

python3 "<this-skill-dir>/scripts/review_prompt.py" suggest-roadmap-update --input findings.json

Output: JSON suggestions[] with {phase, section, change_type, description, rationale}

plan-to-bundle

Convert a Prometheus plan file (.sisyphus/drafts/*.md) into TKT bundle creation commands.

python3 "<this-skill-dir>/scripts/review_prompt.py" plan-to-bundle --plan-file <path>

Input: --plan-file (required) — path to Prometheus plan markdown Output: JSON with route, goal, tickets[], tkt_commands[] (ready-to-execute shell commands)

Parsing rules:

  • ## or ### headings with TODO/task keywords → ticket titles
  • - [] checkboxes → individual worker tickets
  • Dependency markers (depends on, after, blocks) → depends_on fields
  • Effort estimates → ticket description metadata
  • Categories (visual-engineering, deep, quick, etc.) → ticket category
  • ### WAVE N headings → ticket wave metadata for following tasks
  • Structured ticket metadata lines (category, effort, acceptance, source metadata, skills, QA scenarios) → preserved into ticket objects and generated TKT commands
  • Tiny plans can route to express without filename mentions when they stay within the no-dependency, no-effort fast path

write-review-inbox

Write Prometheus review feedback into the Review Agent Inbox format for refresh_review_inbox() ingestion.

python3 "<this-skill-dir>/scripts/review_prompt.py" write-review-inbox --input <json-file>

Input: JSON file with discussion_points[], next_actions[], batch_id Output: Appends ## Review Agent Inbox + # TICKET_BATCH section to note/note_tasks.md

generate-dispatch

Generate a worker dispatch view from bundle ticket state.

python3 "<this-skill-dir>/scripts/review_prompt.py" generate-dispatch --bundle B-001 [--tickets TKT-001,TKT-002]
python3 "<this-skill-dir>/scripts/review_prompt.py" generate-dispatch --auto

Input: --bundle (required), optional --tickets comma list Output: human-readable wave summary plus last-line JSON containing grouped dispatch waves

Rules:

  • without --tickets, emit currently open worker tickets only
  • preserve bundle dependency order into dispatch_wave
  • include one-line summary and effort estimate for each ticket
  • --auto creates the suggested next bundle from suggest-next-bundle and immediately emits dispatch for it

suggest-next-bundle

Suggest the next bundle goal and seed tickets from roadmap/open work/carryover.

python3 "<this-skill-dir>/scripts/review_prompt.py" suggest-next-bundle

Output: JSON with goal, suggested_tickets[], open_issues[]

Integration with OMO Prometheus

Prometheus as Review Agent

When a TKT bundle closes:

  1. tkt.sh close generates review.yaml stub
  2. PM Agent calls generate-review-prompt to assemble review context
  3. Prometheus receives the structured context and produces:

- summary — what was accomplished - discussion_points[] — trade-offs, concerns, questions for user - next_actions[] — follow-up work items - quality_assessment — structured quality evaluation

  1. write-review-inbox converts Prometheus output into TKT-ingestible tickets
  2. refresh_review_inbox() picks up new tickets automatically

Prometheus as Roadmap Planner

When a user makes a new request through Prometheus:

  1. Prometheus conducts structured interview (OMO default behavior)
  2. Prometheus writes plan to .sisyphus/drafts/
  3. plan-to-bundle reads the plan and generates TKT commands
  4. PM Agent executes the commands to create roadmap goal + bundle + worker tickets
  5. OMO dispatches agents to claim and execute tickets

Prompt Reference

  • prompts/prometheus-tkt-integration.md — Instructions for Prometheus on how to use TKT roadmap/bundle system
  • prompts/question-protocol.md — Structured questioning guide for all scenarios (requirements, branch decisions, review discussion, roadmap planning). Implements the question_tool_first policy from config/tkt.yaml.

Compatibility

  • tickets.py alignment: review_prompt.py path matches the hardcoded reference at tickets.py:2468-2470
  • Review Inbox format: Output matches parse_review_agent_inbox() expected format (## Review Agent Inbox + # TICKET_BATCH)
  • Scope rules: Referenced in 14+ ticket scope allowed_prefixes entries in tickets.py
{
  "schema_version": "2.0",
  "id": "skill-system-review",
  "version": "1.0.0",
  "capabilities": [
    "review-generate",
    "review-startup",
    "review-startup-summary",
    "review-roadmap-suggestion",
    "review-plan-to-bundle",
    "review-generate-dispatch",
    "review-suggest-next-bundle",
    "review-write-inbox"
  ],
  "effects": ["fs.read", "fs.write"],
  "operations": {
    "generate-review-prompt": {
      "description": "Assemble structured review context from completed ticket/bundle for Prometheus",
      "input": { "ticket_id": { "type": "string", "required": true } },
      "output": { "description": "Review context JSON", "fields": { "review_context": "object", "prometheus_prompt": "string" } },
      "entrypoints": {
        "unix": ["python3", "{skill_dir}/scripts/review_prompt.py", "generate-review-prompt", "--ticket-id", "{ticket_id}"]
      }
    },
    "generate-startup-review-prompt": {
      "description": "Generate Prometheus review overview at session startup",
      "input": {},
      "output": { "description": "Startup review context JSON", "fields": { "roadmap_summary": "object", "bundles": "array", "prometheus_prompt": "string" } },
      "entrypoints": {
        "unix": ["python3", "{skill_dir}/scripts/review_prompt.py", "generate-startup-review-prompt"]
      }
    },
    "generate-startup-review": {
      "description": "Generate compact startup context summary from roadmap and recent bundle reviews",
      "input": {},
      "output": { "description": "Startup summary JSON", "fields": { "context_summary": "string", "roadmap_summary": "object", "bundles": "array" } },
      "entrypoints": {
        "unix": ["python3", "{skill_dir}/scripts/review_prompt.py", "generate-startup-review"]
      }
    },
    "suggest-roadmap-update": {
      "description": "Suggest roadmap updates from findings/issues without mutating roadmap.yaml",
      "input": {
        "input": { "type": "string", "required": false }
      },
      "output": {
        "description": "Roadmap suggestion payload",
        "fields": { "suggestions": "array" }
      },
      "entrypoints": {
        "unix": ["python3", "{skill_dir}/scripts/review_prompt.py", "suggest-roadmap-update"]
      }
    },
    "plan-to-bundle": {
      "description": "Convert Prometheus plan markdown into TKT bundle or express creation commands with metadata preservation",
      "input": { "plan_file": { "type": "string", "required": true } },
      "output": { "description": "Bundle or express creation commands", "fields": { "route": "string", "goal": "string", "tickets": "array", "tkt_commands": "array" } },
      "entrypoints": {
        "unix": ["python3", "{skill_dir}/scripts/review_prompt.py", "plan-to-bundle", "--plan-file", "{plan_file}"]
      }
    },
    "generate-dispatch": {
      "description": "Generate a human-readable + JSON dispatch prompt from bundle ticket state",
      "input": {
        "bundle": { "type": "string", "required": false },
        "tickets": { "type": "string", "required": false },
        "auto": { "type": "boolean", "required": false }
      },
      "output": {
        "description": "Dispatch payload grouped by waves",
        "fields": { "bundle": "string", "tickets": "array", "waves": "array" }
      },
      "entrypoints": {
        "unix": ["python3", "{skill_dir}/scripts/review_prompt.py", "generate-dispatch", "--bundle", "{bundle}"]
      }
    },
    "suggest-next-bundle": {
      "description": "Suggest the next bundle goal and seed tickets from roadmap/open work/carryover",
      "input": {},
      "output": {
        "description": "Suggested next bundle payload",
        "fields": { "goal": "string", "suggested_tickets": "array", "open_issues": "array" }
      },
      "entrypoints": {
        "unix": ["python3", "{skill_dir}/scripts/review_prompt.py", "suggest-next-bundle"]
      }
    },
    "write-review-inbox": {
      "description": "Write Prometheus review feedback into Review Agent Inbox for ticket ingestion",
      "input": { "input_file": { "type": "string", "required": true } },
      "output": { "description": "Inbox write confirmation", "fields": { "inbox_path": "string", "tickets_written": "integer" } },
      "entrypoints": {
        "unix": ["python3", "{skill_dir}/scripts/review_prompt.py", "write-review-inbox", "--input", "{input_file}"]
      }
    }
  }
}

平台分布

Codex

34.63%
按下载量换算62

Claude

29.01%
按下载量换算52

Cursor

20.7%
按下载量换算37

Gemini CLI

9.28%
按下载量换算17

安全审计

Gen Agent Trust Hub

可疑

Socket

通过

Snyk

通过

权限和风险

可写文件

该 Skill 可能写入或修改本地文件,使用前需要确认目标目录和修改范围。

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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