Token导航 LogoToken导航

Agent Skill · 研究检索

unblock(unblock 搜索)

unblock 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。

unblock 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,权限为调用外部服务;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 66,577。

总安装 261周安装 11GitHub Stars 3下载 92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:unblock(unblock 搜索)
来源仓库:https://github.com/unblocked/skills
仓库路径:skills/unblock
安装命令:
npx skills add https://github.com/unblocked/skills --skill unblock
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/unblocked/skills --skill unblock

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。

用于查找、检索和筛选相关信息。适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词、任务场景或来源线索快速定位候选结果。通过 npx skills add 命令从指定 GitHub 仓库安装使用。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。

unblock 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/unblock

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/unblocked/skills --skill unblock;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

    它需要调用外部服务,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

unblock 怎么安装?

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

unblock 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。

unblock 需要什么权限?

权限级别是调用外部服务。该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

unblock 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。

unblock 用的人多吗?

公开数据是累计安装 261 次,近一周安装 11 次,下载 92 次,GitHub 3 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。

unblock 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
unblock

unblock 搜索 · 本页

2613调用外部服务未明确通过

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

Unblocked Dev Workflow

Every coding task follows a strict loop. No code is written until the plan has been reviewed by Unblocked, and no code is considered done until it has been verified against context. This catches problems at both ends — before code is written and after.

┌──────────────────────────────────────────────────────────────┐
│                                                              │
│  1. HYDRATE        (Unblocked)                               │
│     │              Query context from connected data         |
|     |              sources like PRs, Slack,                  │
│     │              Jira, docs, code history                  │
│     ▼                                                        │
│  2. DRAFT PLAN     (Agent)                                   │
│     │              Design implementation using               │
│     │              hydrated context                          │
│     ▼                                                        │
│  3. REVIEW PLAN    (Unblocked)                      ◄──┐     │
│     │              Critically evaluate the plan        │     │
│     │              against org knowledge               │     │
│     ▼                                                  │     │
│  4. REVISE PLAN    (Agent)                             │     │
│     │              Incorporate feedback                │     │
│     │              [Major issues] ─────────────────────┘     │
│     │              [Minor/none]                              │
│     ▼                                                        │
│  5. GENERATE CODE  (Agent)                                   │
│     │              Implement the validated plan              │
│     ▼                                                        │
│  6. REVIEW CODE    (Unblocked)                      ◄──┐     │
│     │              Verify generated code against       │     │
│     │              context, patterns, conventions      │     │
│     ▼                                                  │     │
│  7. REVISE CODE    (Agent)                             │     │
│     │              Fix issues found in review          │     │
│     │              [Issues found] ─────────────────────┘     │
│     │              [Pass]                                    │
│     ▼                                                        │
│     DONE                                                     │
│                                                              │
└──────────────────────────────────────────────────────────────┘

Labels: (Unblocked) = query Unblocked MCP tools; (Agent) = the AI coding agent executes this phase.

Both review gates are mandatory. The plan review prevents writing wrong code. The code review catches what slipped through — pattern mismatches, missed conventions, and gaps between what was planned and what was generated.

Principles

  • Multiple specific queries > one broad query. Ask 3-4 focused questions, not one vague one.
  • Two review gates, not one. The plan review prevents writing wrong code. The code review catches what slipped through. Both are mandatory.
  • Plans must be specific enough to review. If the plan is vague, the review can't catch problems. Name files, reference patterns, cite decisions.
  • Default to existing patterns. When Unblocked shows the team does something a certain way, follow it — even if you think another way is "better." Consistency wins.
  • Loop back, don't patch forward. If either review finds issues, loop back and fix them properly. Don't try to compensate in the next phase.

Scaling to Task Size

Not every change needs equal ceremony. Scale the workflow to fit the task:

  • Trivial changes (typo fix, rename, one-line config tweak): Skip to Phase 5 (Generate Code), but always run Phase 6 (Review Code) before finishing.
  • Small changes (add a helper, adjust logic in one file): Run Phases 1-2 lightly — one or two queries — then proceed through the rest.
  • Standard changes (new feature, bug fix, refactor): Run the full workflow as written.
  • Large changes (cross-cutting refactor, new subsystem): Run the full workflow, expect multiple review loops, and consider breaking the task into smaller pieces.

When in doubt, run the full workflow. The cost of an unnecessary hydration query is seconds; the cost of missing context is a rewrite. Even the abbreviated path for trivial changes keeps the code review gate (Phase 6).

Reference Workflows

For specialized task types, load the relevant reference file for additional guidance:

  • Debugging a bug → references/debugging-context.md — investigation structure for root cause analysis
  • Implementing a feature → references/feature-context.md — discovery workflow for touch points and constraints
  • Exploring unfamiliar code → references/exploring-context.md — architecture and convention discovery queries

Phase 1: Hydrate Context (Unblocked)

Before planning, gather context from Unblocked. Run multiple targeted queries — specific questions dramatically outperform broad ones.

Required queries (run all of these):

  1. unblocked_context_engine: "How does [feature area] work in this codebase?"
  2. unblocked_context_engine: "What conventions does the team follow for [relevant pattern]?"
  3. historical_context: "What decisions were made about [related area]?"
  4. data_retrieval: recent PRs and issues related to the area being changed

Also query for potential pitfalls:

  1. historical_context: "Has the team tried [this kind of change] before? What happened?"
  2. unblocked_context_engine: "What are the known gotchas or edge cases in [area]?"

Example — "add rate limiting to the API":

unblocked_context_engine: "How does the API middleware pipeline work?"
unblocked_context_engine: "Are there existing rate limiting or throttling mechanisms?"
unblocked_context_engine: "What patterns does the team use for middleware configuration?"
historical_context: "What decisions were made about API authentication and middleware?"
historical_context: "Has rate limiting been attempted or discussed before?"
data_retrieval: "PRs merged in the last 2 weeks touching the API layer"

Collect and carry forward:

  • Existing modules to extend (not reinvent)
  • Naming conventions and code style patterns
  • Architectural patterns the team actually uses
  • Related recent work that might conflict or coordinate
  • Prior decisions and rejected approaches
  • Known edge cases and gotchas

All of this context feeds into Phase 2. Do not start planning without it.


Phase 2: Draft Plan (Agent)

Design the implementation referencing specific findings from Phase 1. The plan must reflect the team's actual patterns, not generic best practices.

The plan should explicitly:

  • Name the existing modules, utilities, and patterns it will follow (from Phase 1)
  • Call out how it aligns with prior team decisions discovered during hydration
  • Note any area where the plan diverges from existing patterns and explain why
  • Identify files that will be created or modified
  • Describe the approach at enough detail that it can be critically reviewed

Do NOT write vague plans. A plan that says "add middleware for rate limiting" cannot be meaningfully reviewed. A plan that says "add a rateLimiter middleware in src/middleware/ following the same pattern as authMiddleware, using the express-rate-limit library that's already in package.json, storing counters in Redis via the existing src/lib/redis client" can be.


Phase 3: Review Plan (Unblocked)

CRITICAL GATE — Do not skip this phase.

Before writing any code, submit the plan to Unblocked for critical review. The goal is to catch problems when they're cheap to fix — before they become code.

Required queries (run all of these, referencing the specific plan):

  1. unblocked_context_engine: "We plan to [summarize approach]. Does this align with how [related system] works in this codebase? Are there existing patterns we should follow instead?"
  2. unblocked_context_engine: "We plan to modify/create [specific files]. What do we need to know about these files and their dependencies? Are there conventions for how changes in this area are typically structured?"
  3. historical_context: "Has the team tried [planned approach] before? Were there any problems or rejected alternatives?"
  4. unblocked_context_engine: "What could go wrong with [planned approach]? Are there edge cases, performance concerns, or integration issues we should consider?"

What you're looking for in the review:

  • Pattern mismatches: The plan uses approach X, but the team already has an established way to do this (approach Y). This is the #1 thing the review catches.
  • Missing context: The plan doesn't account for a related system, a recent change, or a known constraint that Unblocked surfaces.
  • Rejected approaches: The team tried this before and it didn't work, or explicitly decided against it.
  • Naming/convention violations: The plan introduces names, structures, or patterns that don't match the codebase.
  • Scope blindness: The plan misses files or systems that need to change together.

After reviewing the Unblocked responses, explicitly state:

  • What the review found (even if everything looks good)
  • Whether the plan needs revision
  • What specific changes are needed

Phase 4: Revise Plan (Agent)

Incorporate all feedback from the plan review. This is not cosmetic — if Unblocked surfaced that the team already does something a different way, the plan must change to match.

For each piece of feedback from Phase 3:

  • State what was found
  • State how the plan is being updated
  • If you disagree with the feedback, explain why (but default to matching existing patterns)

If the revision is major (changed approach, different files, new dependencies), loop back to Phase 3 and run the plan review again on the revised plan. Minor revisions (naming fixes, adding a missing import, adjusting a detail) do not need re-review.

Present the final revised plan to the user before proceeding to codegen.


Phase 5: Generate Code (Agent)

Implement the validated, reviewed plan. The plan has been grounded in real context and reviewed against organizational knowledge — now execute it.

During codegen:

  • Follow the plan. Don't deviate from reviewed decisions without reason.
  • If you encounter something unexpected that contradicts the plan, pause and re-query Unblocked rather than guessing.
  • If a build or runtime error occurs, use failure_debugging with the error message and surrounding context. This often surfaces known issues or past fixes.

Phase 6: Review Code (Unblocked)

CRITICAL GATE — Do not skip this phase.

After codegen, verify the generated code against organizational context. The plan review caught problems in the approach — this step catches problems in the execution.

Required queries (run all of these, referencing the actual code that was written):

  1. unblocked_context_engine: "We wrote [summarize what was generated — new files, modified files, key patterns used]. Does this match how the team typically implements [this kind of thing] in this codebase?"
  2. unblocked_context_engine: "Looking at [specific pattern/approach in generated code], is this consistent with the conventions in [area of codebase]? Are there existing utilities or helpers we should be using instead?"
  3. unblocked_context_engine: "What are the team's testing conventions for [area changed]? Do the changes we made follow those patterns?"
  4. historical_context: "Have there been issues in the past with [the approach taken in generated code] in this area of the codebase?"

What you're looking for in the review:

  • Reinvented wheels: The code creates something that already exists as a utility, helper, or shared module in the codebase. This is the #1 thing the code review catches.
  • Convention drift: The code works but doesn't match how the team writes this kind of code — wrong error handling pattern, different naming style, non-standard file organization.
  • Missing patterns: The team has established patterns for this kind of change (e.g., always add a migration, always update the API docs, always emit an event) that the generated code doesn't follow.
  • Context gaps: The code doesn't account for something Unblocked surfaces — a related system that needs updating, a known edge case, a constraint from a dependent service.

After reviewing the Unblocked responses, explicitly state:

  • What the review found (even if everything looks clean)
  • Whether the code needs revision
  • What specific changes are needed

Phase 7: Revise Code (Agent)

Fix all issues surfaced by the code review. These are not suggestions — if Unblocked showed that the team does something a different way, the code must change to match.

For each issue from Phase 6:

  • State what was found
  • State what is being changed
  • Make the fix

If the revision is significant (new files, changed approach, different utilities), loop back to Phase 6 and run the code review again. Small fixes (rename a variable, swap to an existing utility, add a missing import) do not need re-review.

After all issues are resolved, present a summary to the user:

  • What was built
  • What the plan review caught and changed
  • What the code review caught and fixed
  • Any remaining considerations or follow-ups

Tool Selection

QuestionTool
How/why does X work?unblocked_context_engine
What was decided about X?historical_context
Recent PRs/issues in area Xdata_retrieval
Contents of a specific PR/issue URLlink_resolver
Debug a build/runtime failurefailure_debugging

平台分布

Codex

33.88%
按下载量换算31

Claude

29.69%
按下载量换算27

Cursor

19.67%
按下载量换算18

Gemini CLI

8.33%
按下载量换算8

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

调用外部服务

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

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。

继续浏览同类 Skills