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 commands/echovic/blade-code/explaingit 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 | $0.00008 | $0.00219 |
| Opus 5 | $0.00004 | $0.00110 |
| Sonnet 5 | $0.00002 | $0.00044 |
| Haiku 4.5 | $0.00001 | $0.00022 |
Grade A, and why
explain 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
请详细解释以下代码的实现：
目标文件
@$1
解释要求
请从以下几个方面进行解释：
1. 概述
- 这个文件/模块的主要职责是什么？
- 它在整个项目中扮演什么角色？
2. 核心逻辑
- 主要的类/函数有哪些？
- 它们之间的关系是什么？
- 数据流是怎样的？
3. 关键实现
- 有哪些重要的设计模式？
- 有哪些值得注意的技巧？
- 为什么这样实现？
4. 依赖关系
- 依赖了哪些外部模块？
- 被哪些模块依赖？
5. 潜在改进
- 有什么可以优化的地方？
- 有什么潜在的问题？
请用简洁的语言解释，适当使用图表（Mermaid）来辅助说明。
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 · 39 lines · 8 tokens per session scan A 5c87a971fa82
explain is a command published in the GitHub repository echoVic/blade-code (177 stars, last pushed 2d ago), licensed MIT. It adds 8 tokens to every session and 219 once invoked, about $0.0000 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 commands, from other repositories
improve-prompt
Analyze and enhance vague or incomplete prompts before execution.
commit
Create well-structured git commits with meaningful messages.
explain-code
Break down complex code into clear, understandable explanations.
refactor
Analyze code and suggest meaningful refactoring improvements.
review-code
Perform a thorough code review on the specified files or recent changes.
awesome-chatgpt
Search awesome-ChatGPT-repositories for open-source GitHub repositories related to ChatGPT and LLMs.