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Agent Skill · 开发

nostr-filter-designer(诺斯特过滤器设计者)

nostr-filter-designer 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。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。

nostr-filter-designer 是开发类 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,第三方扫描有提醒项,按安装量在开发类的 21,746 个 Skill 里排第 20,642。

总安装 216周安装 9GitHub Stars 4下载 72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:nostr-filter-designer(诺斯特过滤器设计者)
来源仓库:https://github.com/accolver/skill-maker
仓库路径:skills/nostr-filter-designer
安装命令:
npx skills add https://github.com/accolver/skill-maker --skill nostr-filter-designer
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/accolver/skill-maker --skill nostr-filter-designer

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息。适合围绕仓库状态、代码变更或协作事项进行整理,提升开发效率。可结合来源仓库和原始 README 核验具体用法,确保适用性。

安装方式:通过 npx 从 GitHub 仓库添加,支持 Codex、Claude、Cursor、Gemini CLI。注意:安装前建议确认权限范围和维护状态,避免触发不必要的联网或文件操作。

来源仓库内路径:skills/nostr-filter-designer

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/accolver/skill-maker --skill nostr-filter-desi…;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

nostr-filter-designer 怎么安装?

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

nostr-filter-designer 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。

nostr-filter-designer 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。

nostr-filter-designer 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。

nostr-filter-designer 用的人多吗?

公开数据是累计安装 216 次,近一周安装 9 次,下载 72 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。

nostr-filter-designer 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。
  • 需要处理开发类任务、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。

开发类 Skill 对比

6 个同类
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skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
nostr-filter-designer

诺斯特过滤器设计者 · 本页

2164需要联网未明确有提醒

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

Nostr Filter Designer

Overview

Construct correct REQ filters for Nostr relay queries. The filter syntax has subtle semantics around AND/OR combination, tag matching, and multi-filter subscriptions that agents consistently get wrong without explicit guidance.

When to use

  • The task is to build Nostr REQ filters for querying relay data.
  • The user needs exact filter semantics for AND/OR behavior, tag constraints, time windows, or multi-filter subscriptions.
  • The problem is retrieving the right events—threads, zaps, feeds, replies, reactions—not publishing them.
  • The output should be one or more valid filter objects or REQ messages.

Do NOT use when:

  • The task is constructing publishable events.
  • The work is relay-side implementation of filter matching rather than client-side filter design.
  • The request is protocol auth, counting, or another NIP unrelated to REQ filter construction.

Response format

Always structure the final response with these top-level sections, in this order:

  1. Summary — state the task, scope, and main conclusion in 1-3 sentences.
  2. Decision / Approach — state the key classification, assumptions, or chosen path.
  3. Artifacts — provide the primary deliverable(s) for this skill. Use clear subheadings for multiple files, commands, JSON payloads, queries, or documents.
  4. Validation — state checks performed, important risks, caveats, or unresolved questions.
  5. Next steps — list concrete follow-up actions, or write None if nothing remains.

Rules:

  • Do not omit a section; write None when a section does not apply.
  • If files are produced, list each file path under Artifacts before its contents.
  • If commands, JSON, SQL, YAML, or code are produced, put each artifact in fenced code blocks with the correct language tag when possible.
  • Keep section names exactly as written above so output stays predictable across skills.

Workflow

1. Identify what you need

Translate the natural language query into concrete requirements:

  • Who: specific authors, or any author?
  • What kind: notes (1), reactions (7), reposts (6), zaps (9735), profiles (0)?
  • Related to what: specific events (#e), specific people (#p), specific addressable events (#a)?
  • When: time-bounded or open-ended?
  • How many: limited initial fetch or ongoing subscription?

2. Determine AND vs OR

Ask: "Can a single event satisfy ALL my conditions simultaneously?"

  • Yes -> one filter with all conditions (AND)
  • No -> multiple filters (OR)

The most common mistake is cramming OR-logic into a single filter. If you need "events by Alice OR events mentioning Alice," that requires two filters.

3. Construct the filter(s)

Build each filter object. For each condition, add the appropriate field. Cross-reference with references/filter-patterns.md for common patterns.

4. Validate

Check each filter against these rules:

  • All hex values are exactly 64 characters, lowercase
  • Tag filter keys are single letters (#e, not #event)
  • No NOT/exclusion logic (Nostr filters can't do this)
  • since and until are unix timestamps in seconds (not milliseconds)
  • limit is only used for initial queries, not ongoing subscriptions
  • AND/OR semantics match the intent

5. Format as REQ

Wrap in the REQ message format:

["REQ", "<subscription-id>", <filter1>, <filter2>, ...]

Examples

Example 1: Get a full thread (root + all replies)

Need: The root event itself, plus all kind-1 replies that tag it.

A single filter can't do this because the root event won't have an #e tag pointing to itself. Use two filters (OR):

[
  "REQ",
  "thread-sub",
  { "ids": ["aabb...64chars"] },
  { "kinds": [1], "#e": ["aabb...64chars"] }
]

Filter 1 fetches the root by ID. Filter 2 fetches all kind-1 events that reference it via an e tag. Together (OR), you get the complete thread.

Why not one filter? {"ids": ["aabb..."], "#e": ["aabb..."]} would match only events whose own ID is aabb... AND that also tag aabb... -- which is almost certainly nothing.

Example 2: User's social feed

Need: A user's notes, reposts, and reactions.

All three share the same author, so one filter with multiple kinds works (AND on author, list-match on kinds):

{ "authors": ["<pubkey>"], "kinds": [1, 6, 7], "limit": 50 }

This works because kinds is a list -- the event matches if its kind is ANY of the listed values. Combined with authors (AND), this gives "events by this author that are notes OR reposts OR reactions."

Example 3: All engagement on an event

Need: Replies, reactions, zaps, and reposts of a specific event.

All engagement types tag the event via #e, but have different kinds. One filter works:

{ "#e": ["<event-id>"], "kinds": [1, 6, 7, 9735] }

Example 4: Events by author OR mentioning author

Need: Show everything relevant to a user -- their own posts and posts that mention them.

This requires OR (two filters), because an event can't simultaneously be authored by someone AND mention them in a p tag (well, it could, but you'd miss events that only satisfy one condition):

[
  "REQ",
  "user-activity",
  { "authors": ["<pk>"], "kinds": [1] },
  { "#p": ["<pk>"], "kinds": [1] }
]

Common Mistakes

MistakeWhy it's wrongFix
OR logic in one filter{"authors": ["A"], "#p": ["A"]} means events BY A that ALSO tag A (AND)Use two separate filters
#event or #pubkey as tag filter keyTag filter keys are single letters onlyUse #e, #p, #a, etc.
Non-hex values in ids, authors, #e, #pMust be exact 64-char lowercase hexConvert npub/note to hex first
Timestamps in millisecondsNostr uses seconds since epochDivide JS Date.now() by 1000
Using limit for ongoing subscriptionslimit only applies to the initial query batchRemove limit for live subscriptions
Expecting NOT/exclusionNostr filters have no negationFilter client-side after receiving events
Assuming tag filter matches all tag valuesOnly index 0 (the first value) is matchedDon't try to filter by relay hints or markers
Mixing replaceable event semanticsRelay returns only latest for kind 0, 3, 10000-19999Don't expect historical versions

Quick Reference

QueryFilter
User's notes{"authors": ["<pk>"], "kinds": [1]}
User's profile{"authors": ["<pk>"], "kinds": [0]}
User's contacts{"authors": ["<pk>"], "kinds": [3]}
User's relay list{"authors": ["<pk>"], "kinds": [10002]}
Replies to event{"kinds": [1], "#e": ["<eid>"]}
Reactions to event{"kinds": [7], "#e": ["<eid>"]}
Zaps on event{"kinds": [9735], "#e": ["<eid>"]}
Reposts of event{"kinds": [6], "#e": ["<eid>"]}
Full thread{"ids": ["<root>"]} + {"kinds": [1], "#e": ["<root>"]}
Comments on content{"kinds": [1111], "#E": ["<root-id>"]}
User's DM relay list{"authors": ["<pk>"], "kinds": [10050]}
All engagement on event{"#e": ["<eid>"], "kinds": [1, 6, 7, 9735]}
Events mentioning user{"#p": ["<pk>"]}
User's feed (notes+reposts+reactions){"authors": ["<pk>"], "kinds": [1, 6, 7]}

See references/filter-patterns.md for the full cookbook with advanced patterns and explanations.

Key Principles

  1. AND within, OR between -- This is the single most important rule. Every condition in one filter is AND'd. Multiple filters are OR'd. There is no other way to combine conditions.
  2. Hex or nothing -- ids, authors, #e, and #p values must be exact 64-character lowercase hex strings. No npub, note1, nprofile, or other NIP-19 encodings. Convert first.
  3. Tag filters are shallow -- #e matches only the first value (index 0) of e tags. You cannot filter by relay hints, markers, or other positional tag values. Those must be filtered client-side.
  4. No negation -- You cannot exclude events matching a condition. If you need "all kind-1 events except from author X," fetch all kind-1 events and filter client-side.
  5. Limit is a suggestion for initial load -- limit tells the relay how many events to return in the initial batch (newest first). It does NOT cap an ongoing subscription. Relays may return fewer than requested.

平台分布

Codex

37.6%
按下载量换算27

Claude

29.5%
按下载量换算21

Cursor

18.38%
按下载量换算13

Gemini CLI

9.49%
按下载量换算7

安全审计

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Snyk

可疑

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。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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