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Agent Skill · 研究检索

hedera-hackathon-submission-validator(hedera 黑客马拉松提交验证器)

hedera-hackathon-submission-validator 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。

hedera-hackathon-submission-validator 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,权限为需要联网;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 18,705。

总安装 5,959周安装 150GitHub Stars 19下载 1,529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:hedera-hackathon-submission-validator(hedera 黑客马拉松提交验证器)
来源仓库:https://github.com/hedera-dev/hedera-skills
仓库路径:skills/hedera-hackathon-submission-validator
安装命令:
npx skills add https://github.com/hedera-dev/hedera-skills --skill 'Hedera Hackathon Submission Validator'
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/hedera-dev/hedera-skills --skill 'Hedera Hackathon Submission Validator'

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。

hedera-hackathon-submission-validator 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中快速定位候选结果。适用于关键词搜索、任务场景匹配或来源线索筛选等研究检索场景。

通过 npx skills add 命令从指定 GitHub 仓库安装并使用该技能。安装前需确认权限范围、维护状态,以及是否会触发联网或文件操作。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/hedera-hackathon-submission-validator

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/hedera-dev/hedera-skills --skill 'Hedera Hacka…;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

hedera-hackathon-submission-validator 怎么安装?

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

hedera-hackathon-submission-validator 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。

hedera-hackathon-submission-validator 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。

hedera-hackathon-submission-validator 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。

hedera-hackathon-submission-validator 用的人多吗?

公开数据是累计安装 5,959 次,近一周安装 150 次,下载 1,529 次,GitHub 19 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。

hedera-hackathon-submission-validator 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
hedera-hackathon-submission-validator

hedera 黑客马拉松提交验证器 · 本页

5,95919需要联网未明确通过

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

Hedera Hackathon Submission Validator

Review a Hedera hackathon submission's codebase and score it against the official judging criteria. Focus on what is observable from the code, README, and documentation in the repository.

Step 1: Discover the Project

Scan the codebase to understand what was built:

  1. Read the README.md (or equivalent) for project overview
  2. Identify the tech stack:

- package.json, Cargo.toml, go.mod, requirements.txt, etc. - Look for Hedera SDK dependencies (@hashgraph/sdk, hedera-sdk-*, etc.)

  1. Find Hedera integration points:

- Search for Hedera SDK imports and usage - Search for HTS precompile addresses (0x167) - Search for Hedera service calls (token create, consensus submit, etc.) - Search for mirror node API calls - Search for ecosystem integrations (wallet connect, DEX, etc.)

  1. Assess project structure and code quality
  2. Look for documentation: architecture docs, design decisions, business model, pitch materials
  3. Check for tests and CI/CD configuration

Step 2: Score Against Each Criterion

Evaluate the submission against each of the 7 judging criteria. For each, provide a score (1-5), evidence from the codebase, and specific improvement suggestions. Refer to references/judging-criteria.md for the complete rubric with guiding questions and 1/3/5 score descriptors.

Innovation (10% weight)

Review for:

  • Is this a novel solution or a clone of existing platforms?
  • Does it introduce new capabilities to the Hedera ecosystem?
  • Does the README explain what makes it unique?
  • Check if similar projects exist (based on what you can infer from the code)

Feasibility (10% weight)

Review for:

  • Is the solution technically sound?
  • Does it genuinely require Web3/blockchain? Or could this work on Web2?
  • Is there a business model documented? (Lean Canvas, monetization strategy)
  • Does the code demonstrate domain understanding?

Execution (20% weight) - HIGHEST PRIORITY

Review for:

  • Completeness: Is this a working MVP, PoC, or just scaffolding?
  • Code quality: Clean architecture, error handling, testing?
  • UI/UX: If there's a frontend, is it polished or rough?
  • Documentation: README completeness, setup instructions, architecture docs
  • Design decisions: Are key technical choices documented and justified?
  • Strategy: Is there a roadmap or post-hackathon plan?
  • GTM: Is there a go-to-market strategy documented?

Integration (15% weight) - HIGH PRIORITY

Review for:

  • Services used: Which Hedera services are actually integrated? (HTS, HCS, Smart Contracts, HFS, Scheduled Transactions)
  • Integration depth: Is it meaningful usage or superficial? (e.g., just mirror node queries = shallow)
  • Ecosystem partners: Are any ecosystem platforms integrated? (SaucerSwap, HashPack, etc.)
  • Creativity: Is any Hedera service used in a non-obvious way?
  • Multiple services: Are multiple Hedera services combined?

Rate integration depth:

  • Mirror node queries only = 1 point
  • Single service, obvious usage = 2-3 points
  • Multiple services, meaningful usage = 3-4 points
  • Multiple services + ecosystem partners + creative usage = 5 points

Validation (15% weight)

Review for:

  • Is there evidence of external user testing? (feedback docs, user survey results, analytics)
  • Are market feedback cycles documented?
  • Is there any traction data? (user counts, sign-ups, etc.)
  • Note: This is hard to assess from code alone. Flag if no evidence is found.

Success (20% weight) - HIGHEST PRIORITY

Review for:

  • Does the solution architecture drive Hedera account creation?
  • Would usage generate meaningful TPS on the network?
  • Does it expose Hedera to new audiences?
  • Is the potential network impact documented or estimable from the code?

Pitch (10% weight)

Review for:

  • README quality as a proxy for pitch quality
  • Is the problem/solution clearly explained?
  • Are metrics and market data cited?
  • Is Hedera's role clearly articulated?
  • Is there a pitch deck or demo script in the repo?

Step 3: Generate the Scorecard

Output a comprehensive report:

# Hackathon Submission Review

## Project Summary

- **Name**: [from README]
- **Description**: [1-2 sentences]
- **Tech Stack**: [languages, frameworks, Hedera SDK version]
- **Hedera Services Used**: [list]

## Scorecard

| Section     | Score    | Weight | Weighted | Key Finding        |
| ----------- | -------- | ------ | -------- | ------------------ |
| Innovation  | X/5      | 10%    | X.X      | [one-line summary] |
| Feasibility | X/5      | 10%    | X.X      | [one-line summary] |
| Execution   | X/5      | 20%    | X.X      | [one-line summary] |
| Integration | X/5      | 15%    | X.X      | [one-line summary] |
| Validation  | X/5      | 15%    | X.X      | [one-line summary] |
| Success     | X/5      | 20%    | X.X      | [one-line summary] |
| Pitch       | X/5      | 10%    | X.X      | [one-line summary] |
| **Total**   | **X/35** |        | **X.X**  |                    |

**Estimated Final Grade: X%**

## Detailed Findings

### [Section Name] - X/5

**Evidence**: [What was found in the code]
**Gaps**: [What's missing]
**Quick Wins**: [Specific, actionable improvements]

[Repeat for each section]

## Top 5 Improvements (Ranked by Score Impact)

1. [Highest impact improvement] - affects [criteria] ([weight]%)
2. ...
3. ...
4. ...
5. ...

## Hedera Integration Depth Analysis

- Services detected: [list with evidence]
- Ecosystem integrations: [list or "none detected"]
- Creative usage: [describe or "none detected"]
- Recommendation: [specific services or integrations to add]

Step 4: Prioritized Action Items

After the scorecard, provide a prioritized list of improvements ordered by impact on the final weighted score. Focus on:

  1. Execution improvements (20% weight) - code quality, testing, documentation
  2. Success improvements (20% weight) - network impact, account creation flows
  3. Integration improvements (15% weight) - add more Hedera services, ecosystem partners
  4. Validation improvements (15% weight) - add user feedback mechanisms

For each improvement, estimate the effort (quick fix, moderate, significant) and the potential score increase.

Scoring Formula Reference

Weighted Score = (Score / 5) * (Section Weighting / 100 * 35)
Final Grade = (Sum of Weighted Scores / 35) * 100

Important Notes

  • Be constructive, not discouraging. Frame gaps as opportunities.
  • Base scores on evidence found in the codebase, not assumptions.
  • If you can't assess a criterion from the code (e.g., Validation, Pitch), say so explicitly and suggest how the team can document evidence.
  • Refer to references/judging-criteria.md for the complete rubric with detailed 1/3/5 descriptors per criterion.

平台分布

Codex

36.73%
按下载量换算562

Claude

32.33%
按下载量换算494

Cursor

17.4%
按下载量换算266

Gemini CLI

9.57%
按下载量换算146

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。目前只有一个公开来源,建议同时核对源仓库。

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