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Agent Skill · 研究检索

athena-work(雅典娜工作)

athena-work 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。

athena-work 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,权限为只读;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 69,749。

总安装 216周安装 9GitHub Stars 1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:athena-work(雅典娜工作)
来源仓库:https://github.com/bluewaves-creations/bluewaves-skills
仓库路径:skills/athena-work
安装命令:
npx skills add https://github.com/bluewaves-creations/bluewaves-skills --skill athena-work
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/bluewaves-creations/bluewaves-skills --skill athena-work

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 中根据关键词或任务需求快速定位候选结果。它处理 Athena 导出的 .athenabrief 研究包,解析笔记摘要、AI 生成简报和二进制资产用于渐进式披露。

使用时需先阅读 instructions.md 指南,再解压 package.athenabrief ZIP 文件并按 brief.md 结构组织内容。安装前请确认是否具备 GitHub 访问权限,并评估是否会触发网络请求或令牌写入,避免安全风险。

athena-work 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/athena-work

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/bluewaves-creations/bluewaves-skills --skill a…;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

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

athena-work 怎么安装?

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

athena-work 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。

athena-work 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

athena-work 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。

athena-work 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 1 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。

athena-work 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。
  • 标注为只读权限,试用阶段不容易误改本地文件。

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。
  • 只想先试试效果、不希望它改动本地文件的人。

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
athena-work

雅典娜工作 · 本页

2161只读未明确有提醒

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

Athena Brief Processor

Process .athenabrief research packages exported from the Athena note-taking app. These are ZIP archives containing curated notes, AI-generated summaries, a research brief, and binary assets arranged for progressive disclosure.

Package Structure Overview

package.athenabrief (ZIP)
├── instructions.md        # Static reading guide (start here)
├── brief.md               # Research brief, report, and note index
├── summaries.json         # Machine-readable note summaries
├── manifest.json          # Full machine-readable index and statistics
├── references/*.md        # Full note content with YAML frontmatter
└── assets/*               # Binary attachments (images, PDFs)

Read references/athenabrief-spec.md for full schema details when encountering unusual fields or edge cases.

Processing Workflow

Step 1: Extract and Orient

Extract the .athenabrief ZIP to a temporary working directory. Read instructions.md first to understand the package's progressive disclosure model. This file is static across all packages and confirms the reading order.

Step 2: Progressive Disclosure Reads

Read files in this order, stopping as early as possible:

  1. brief.md — Read the research objective, suggested web research, research report, and note index table. This provides the high-level context and tells you what the brief is about.
  2. summaries.json — Read the machine-readable note summaries. Each entry has generalSummary, contextualSummary, keyContributions, and knowledgeEntries. This gives you enough detail to plan your approach.
  3. Short-circuit check — Decide whether you need deeper detail (see decision matrix below). In ~80% of cases, brief.md + summaries.json provide sufficient context.
  4. manifest.json — Read only when you need statistics, relevance scores, sub-query coverage, or the full research plan. Skip if summaries.json was sufficient.
  5. **references/*.md** — Read individual notes only when you need the full text. Use the manifest or summaries to identify which notes are relevant. Each note has YAML frontmatter with metadata and the full markdown body.
  6. **assets/*** — Read binary assets only when referenced in the work or explicitly requested by the user.

Step 3: Short-Circuit Decision Matrix

After reading brief.md and summaries.json, use this matrix:

SignalAction
User gave specific instructionsFollow them; read references only for cited notes
Brief has clear research objective + report covers itSummarize findings from brief.md + summaries; skip references
User asks "what's in this brief?"Summarize from brief.md table + summaries.json; skip references
Task requires synthesis across notesRead relevant references (use summaries to pick which)
Task requires exact quotes or dataRead the specific reference notes cited
Task requires web researchNote the webResearchInstructions from brief.md; search the web
No user instructions at allUse brief's research objective as the task; process accordingly

Step 4: Engagement Rules

Ask the user for clarification when ANY of these apply:

  • Imprecise brief — The research objective is vague and multiple interpretations exist
  • Fuzzy search instructions — The web research instructions are ambiguous
  • Insufficient knowledge — The brief references domains you cannot reliably address
  • Contradictory data — Notes contain conflicting information with no clear resolution
  • Scope ambiguity — Unclear whether the user wants a summary, analysis, new content, or something else

When the brief contains clear instructions and no ambiguity exists, proceed without asking. Zero-instruction processing is a core feature: the brief itself is the instruction set.

Step 5: Execute and Package

Execute the work based on the brief content and any user instructions. Delegate to other installed skills as needed (e.g., web search, image generation, document creation).

When producing notes as output, ALWAYS use this mandatory header format:

# note title

> short description

---

note content here...

The # title is the note's display name. The > description is a one-line summary. The --- separator always precedes body content.

After completing the work, ALWAYS use the athena-package skill to package results for import back into Athena. Pass all produced notes, relevant assets, and appropriate aurora tags to the packaging step.

Metadata Precedence

When the same data appears in multiple files:

  • manifest.json is authoritative for IDs, paths, and scores
  • summaries.json is authoritative for note summaries
  • YAML frontmatter in references is convenience — use when reading individual notes
  • brief.md tables are human-readable summaries — use for quick orientation

Multi-Brief Workflows

When the user uploads multiple .athenabrief packages:

  1. Process each brief independently first
  2. Look for cross-brief connections using knowledgeEntries (shared entities, themes, linked notes)
  3. Synthesize findings across briefs when the user asks for combined analysis
  4. Package all results into a single .athena package unless the user requests separate packages

Delegation Patterns

The brief may require capabilities beyond text processing:

Brief contentDelegate to
Web research instructions presentWeb search tools
"Create a presentation" in objectivePresentation skills if available
"Generate images" in objectiveImage generation skills if available
Code-related analysisCode analysis tools
No delegation neededProcess directly

Always check what skills and tools are available before promising delegation.

Error Handling

ErrorRecovery
ZIP extraction failsReport the error; ask user to re-export from Athena
instructions.md missingProceed with brief.md; the reading order is documented here
brief.md missingFall back to summaries.json for orientation; warn user
summaries.json malformedFall back to manifest.json + brief.md table
manifest.json malformedUse brief.md table + read references directly
Reference note missingSkip it; warn user; use summary data instead
Asset file missingNote the broken reference; continue processing
All core files missingReport package appears corrupt; ask for re-export

Graceful Degradation Hierarchy

If files are missing or malformed, fall back in this order:

  1. brief.md + summaries.json (ideal path)
  2. brief.md + manifest.json (summaries unavailable)
  3. brief.md alone (both JSON files broken)
  4. manifest.json + references/*.md (brief missing)
  5. references/*.md scanned directly (minimal package)

At each level, warn the user about missing data and reduced accuracy.

Example

Input: User uploads q1-strategy.athenabrief

Processing:

  1. Extract ZIP, read instructions.md (standard reading guide)
  2. Read brief.md — Research objective: "Review Q1 product strategy and roadmap priorities"
  3. Read summaries.json — 5 notes covering roadmap, standups, competitor analysis, sprint retros, launch checklist
  4. Short-circuit: User said "summarize this brief" — brief.md + summaries.json sufficient
  5. Produce executive summary note + key findings note + action items note

Output: Hand off 3 notes to athena-package skill:

  • "Q1 Strategy Summary" (aurora: focus)
  • "Key Findings" (aurora: explore)
  • "Action Items" (aurora: commitments)

Reference Materials

  • references/athenabrief-spec.md — Full .athenabrief format specification: ZIP structure, brief.md sections, summaries.json schema, manifest.json schema, reference note YAML frontmatter, asset naming conventions. Read when encountering unusual fields, debugging malformed packages, or building custom extraction logic.
  • references/processing-strategies.md — Edge case handling, token optimization strategies, graceful degradation details, and advanced multi-brief workflows. Read when facing complex briefs, performance concerns, or unusual package configurations.

平台分布

Codex

36.63%
按下载量换算26

Claude

29.28%
按下载量换算21

Cursor

19.19%
按下载量换算14

Gemini CLI

9.24%
按下载量换算7

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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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