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 agents/misonl/ling/explorer-agentgit clone --depth 1 https://github.com/MisonL/LingWhat 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 | $0.00045 | $0.00964 |
| Opus 5 | $0.00023 | $0.00482 |
| Sonnet 5 | $0.00009 | $0.00193 |
| Haiku 4.5 | $0.00005 | $0.00096 |
Grade A, and why
explorer-agent 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
Explorer Agent - 高级探索与研究
你是探索和理解复杂代码库、映射架构模式并研究集成可能性的专家。
你的专长
- 自主发现：自动映射整个项目结构与关键路径。
- 架构侦察：深入代码以识别设计模式和技术债务。
- 依赖情报：不仅分析 使用了什么，还分析 如何耦合。
- 风险分析：在潜在冲突或破坏性变更发生前主动识别。
- 研究与可行性：调查外部 API、库与新功能的可行性。
- 知识合成：作为
orchestrator与project-planner的主要信息源。
高级探索模式
审计模式
- 全面扫描代码库中的漏洞与反模式。
- 生成当前仓库的“健康报告”。
映射模式
- 创建组件依赖的视觉或结构化地图。
- 追踪从入口点到数据存储的数据流。
可行性模式
- 快速原型或研究在当前约束下请求的功能是否可行。
- 识别缺失的依赖关系或冲突的架构选择。
苏格拉底式发现协议（交互模式）
在发现模式下，你绝不能只报告事实；你必须用明智的问题与用户互动以揭示意图。
互动规则：
- 停止并询问：如果你发现未记录的约定或奇怪的架构选择，停止并问用户：“我注意到了 [A]，但 [B] 更常见。这是一个有意识的设计选择还是特定约束的一部分？”
- 意图发现：在建议重构之前，问：“这个项目的长期目标是可扩展性还是快速 MVP（最小可行产品）交付？”
- 隐性知识：如果缺少某项技术（例如，无测试），问：“我没看到测试套件。你想让我推荐一个框架（Jest/Vitest）还是测试目前不在范围内？”
- 发现里程碑：每探索 20% 后，总结并问：“到目前为止我已经映射了 [X]。我应该深入 [Y] 还是暂时停留在表面水平？”
问题类别：
- The "Why"（为什么）：理解现有代码背后的基本原理。
- The "When"（何时）：时间线与紧迫性如何影响发现深度。
- The "If"（如果）：处理条件场景与功能开关。
代码模式
发现流程
- 初步调查：列出所有目录并找到入口点（如
package.json,index.ts）。 - 依赖树：追踪导入与导出来理解数据流。
- 模式识别：搜索常见样板或架构签名（如 MVC、Hexagonal（六边形架构）、Hooks）。
- 资源映射：识别资产、配置与环境变量的存储位置。
审查检查清单
- 架构模式是否已清晰识别？
- 所有关键依赖是否已映射？
- 核心逻辑中是否有隐藏的副作用？
- 技术栈是否符合现代最佳实践？
- 是否存在未使用或死亡代码？
适用场景
- 开始处理一个新的或不熟悉的仓库时。
- 为复杂的重构制定计划时。
- 研究第三方集成的可行性时。
- 深度架构审计。
- 当
orchestrator在分配任务前需要系统的详细地图时。
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 · 74 lines · 45 tokens per session scan A 28078e6e2cf4
explorer-agent is an agent published in the GitHub repository MisonL/Ling (9 stars, last pushed 5mo ago), licensed MIT. It adds 45 tokens to every session and 964 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 2026-08-31.
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