Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/echovic/blade-code/github-explorernpx skills add echoVic/blade-code --skill github-explorergit clone --depth 1 https://github.com/echoVic/blade-codeWhat it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00035 | $0.00820 |
| Opus 5 | $0.00017 | $0.00410 |
| Sonnet 5 | $0.00007 | $0.00164 |
| Haiku 4.5 | $0.00003 | $0.00082 |
Grade A, and why
github-explorer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
GitHub 项目探索和总结
Instructions
当用户想要探索和总结 GitHub 上的热门项目时，按照以下步骤执行：
1. 确定搜索目标
- 如果用户提供了具体的项目名称或技术栈，直接搜索相关项目
- 如果用户没有明确目标，搜索当前热门或趋势项目
- 使用 WebSearch 工具查找相关 GitHub 仓库
2. 收集项目信息
使用以下方法收集项目信息：
- WebSearch: 搜索 "trending GitHub repositories" 或 "popular GitHub projects "
- WebFetch: 获取 GitHub 项目页面信息
- GitHub API: 如果需要，可以访问 GitHub API 获取项目详细信息
3. 分析项目内容
对每个项目进行以下分析：
- 项目名称和描述: 获取项目的基本信息
- Star 数量: 评估项目的受欢迎程度
- 主要技术栈: 识别项目使用的主要技术
- 最近更新: 检查项目活跃度
- 贡献者数量: 评估社区活跃度
- 项目特点: 识别项目的独特功能或优势
- 文档质量: 评估项目的文档完整性
4. 生成项目总结
为每个项目生成以下信息：
- 项目名称: 项目完整名称
- 描述: 项目的主要功能和目标
- GitHub 链接: 项目地址
- Stars: Star 数量
- 技术栈: 使用的主要技术
- 最后更新: 最近更新时间
- 项目亮点: 项目的独特功能或优势
- 适用场景: 适合的应用场景
5. 提供综合分析
- 按受欢迎程度排序项目列表
- 提供整体趋势分析
- 推荐最适合用户需求的项目
- 指出项目之间的差异和特点
Output Format
以结构化格式输出项目信息：
## 项目名称
- **描述**: 项目功能描述
- **GitHub**: [链接地址](https://github.com/...)
- **Stars**: 数量
- **技术栈**: 技术列表
- **最后更新**: 日期
- **亮点**: 项目特色
- **适用场景**: 使用场景
Examples
示例 1: 探索前端框架
用户: "帮我找一些流行的前端框架项目"
- 搜索 "popular frontend frameworks GitHub"
- 分析 React, Vue, Angular 等项目
- 提供详细的技术栈和特点对比
示例 2: 探索 AI 相关项目
用户: "找一些热门的 AI 开源项目"
- 搜索 "trending AI open source projects"
- 分析项目的技术栈和应用场景
- 提供项目亮点和适用场景
示例 3: 探索特定技术
用户: "找一些用 TypeScript 写的优秀项目"
- 搜索 "best TypeScript projects GitHub"
- 分析项目质量和技术特点
- 提供综合评价和推荐
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2d ago First seen · 100 lines · 35 tokens per session scan A d28ce000fcbc
github-explorer is a skill published in the GitHub repository echoVic/blade-code (177 stars, last pushed 2d ago), licensed MIT. It adds 35 tokens to every session and 820 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
golang-testing
Production-ready Golang tests — table-driven tests, testify suites and mocks, parallel tests, fuzzing, fixtures, goroutine leak detection with goleak, snapshot testing, code coverage, integration tests, idiomatic test naming. Use when writing or reviewing Go tests, choosing a testing approach, setting up Go test CI…
golang-benchmark
Golang benchmarking, profiling, and performance measurement. Use when writing, running, or comparing Go benchmarks, profiling hot paths with pprof, interpreting CPU/memory/trace profiles, analyzing results with benchstat, setting up CI benchmark regression detection, or investigating production performance with…
golang-continuous-integration
CI/CD pipeline configuration using GitHub Actions for Golang projects — testing, linting, SAST, security scanning, code coverage, Dependabot, Renovate, GoReleaser, code review automation, and release pipelines. Use when setting up or improving Go project CI, configuring GitHub Actions workflows, adding linters or…
golang-dependency-injection
Comprehensive guide for dependency injection (DI) in Golang. Covers why DI matters (testability, loose coupling, separation of concerns, lifecycle management), manual constructor injection, and DI library comparison (google/wire, uber-go/dig, uber-go/fx, samber/do). Use this skill when designing service architecture…
golang-design-patterns
Idiomatic Golang design patterns — functional options, constructors, error flow and cascading, resource management and lifecycle, graceful shutdown, resilience, architecture, dependency injection, data handling, streaming, and more. Apply when explicitly choosing between architectural patterns, implementing functional…
golang-documentation
Comprehensive documentation guide for Golang projects, covering godoc comments, README, CONTRIBUTING, CHANGELOG, Go Playground, Example tests, API docs, and llms.txt. Use when writing or reviewing doc comments, documentation, adding code examples, setting up doc sites, or discussing documentation best practices.…