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/usefulmove/enso/explain-codenpx skills add usefulmove/enso --skill explain-codegit clone --depth 1 https://github.com/usefulmove/ensoWhat 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 | $0.00057 | $0.00754 |
| Opus 5 | $0.00028 | $0.00377 |
| Sonnet 5 | $0.00011 | $0.00151 |
| Haiku 4.5 | $0.00006 | $0.00075 |
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.
How it starts
The opening of the file, as written. The whole thing — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.
When to Use
Use this skill when the user needs to:
- Understand code they're accountable for
- Learn a new codebase or subsystem
- Build a mental model before making changes
The Explanation Structure
Present code explanations in this order:
1. Purpose (Why)
- What problem does this solve?
- Who uses it and when?
- What would break if it didn't exist?
2. High-Level Function (What)
- One-sentence summary
- Key inputs and outputs (concepts, not types)
- Where it sits in the system
3. Data Flow (Visual)
- ASCII or bullet diagram
- Start from source (hardware, user, external system)
- End with destination
- Label boundary crossings (HTTP, WebSocket, function call)
4. Step-by-Step Walkthrough (How)
- Main method/function flow
- Key state transitions
- What each step produces for the next
5. Key Design Decisions
- Why this approach? What are the tradeoffs?
- Optimizations and their conditions
- Connect back to Purpose
Example
Input Code
// WebSocket handler that echoes messages back
class EchoServer : public websocketpp::server<websocketpp::config::asio> {
public:
void on_message(connection_hdl hdl, message_ptr msg) {
std::string payload = msg->get_payload();
// Log incoming
std::cout << "Received: " << payload << std::endl;
// Echo back with prefix
std::string response = "Echo: " + payload;
send(hdl, response, websocketpp::frame::opcode::text);
}
};
Explanation
1. Purpose EchoServer lets clients verify their WebSocket connection works by sending any message and receiving it back. Used during development and for connection health checks.
2. High-Level Function When a message arrives, log it, prepend "Echo: ", and send it back to the same client.
3. Data Flow
Client (browser/terminal)
│
│ WebSocket text frame
▼
EchoServer::on_message()
│
├──► Console log (side effect)
│
└──► send() with modified payload
│
▼
Client receives response
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 · 113 lines · 57 tokens per session scan A 375056bd446d
explain-code is a skill published in the GitHub repository usefulmove/enso (2 stars, last pushed 2mo ago), licensed MIT. It adds 57 tokens to every session and 754 once invoked, about $0.0003 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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