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/onmyway133/claude-code-plugins/explain-codegit clone --depth 1 https://github.com/onmyway133/claude-code-pluginsWhat 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 | $0.00000 | $0.00448 |
| Opus 5 | $0.00000 | $0.00224 |
| Sonnet 5 | $0.00000 | $0.00090 |
| Haiku 4.5 | $0.00000 | $0.00045 |
Grade A, and why
explain-code 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 yesterday.
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
Explain Code
Break down complex code into clear, understandable explanations.
Usage
/explain-code [file_path] [depth]
Arguments:
file_path- File, function, or code block to explain (required)depth-quick(overview),detailed(line-by-line),deep(with context)
Explanation Process
Step 1: Identify Scope
Determine what to explain:
- Single function or method
- Entire file or module
- Specific algorithm or pattern
- System interaction or flow
Step 2: Build Mental Model
Before explaining, understand:
- What problem this code solves
- Inputs and outputs
- Side effects and state changes
- Error conditions and edge cases
Step 3: Structure the Explanation
Quick Overview (default)
- One paragraph summary of purpose
- Key inputs and outputs
- Main logic flow in 3-5 bullet points
Detailed Breakdown
## Purpose
What this code accomplishes and why it exists.
## How It Works
Step-by-step walkthrough of the logic.
## Key Components
- **[Name]**: What it does
- **[Name]**: What it does
## Data Flow
Input → [transformations] → Output
## Edge Cases
- How [edge case] is handled
Deep Dive
All of the above plus:
- Why this approach was likely chosen
- Trade-offs and alternatives
- How it fits in the larger system
- Potential gotchas or maintenance notes
Step 4: Use Analogies
When explaining complex concepts:
- Find real-world analogies
- Compare to common patterns
- Use diagrams in ASCII if helpful
Request → [Middleware] → [Handler] → [Response]
↓ ↓
[Logging] [Database]
Guidelines
- Adjust technical level to context
- Start with the "why" before the "how"
- Use the code's own naming when possible
- Highlight non-obvious behavior
- Note assumptions the code makes
- Point out clever or unusual techniques
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.
- yesterday First seen · 87 lines · 0 tokens per session scan A 4c91c2271692
explain-code is a command published in the GitHub repository onmyway133/claude-code-plugins (5 stars, last pushed 7mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 448 tokens. 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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Command "pr" from echoVic/blade-code, covering 当前状态, 变更摘要, 变更文件, pr 目标分支 and 要求.
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rollback
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bundle
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completions
Generate shell completion scripts for bash, zsh, and fish.