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/mergisi/awesome-openclaw-agents/code-explainernpx skills add mergisi/awesome-openclaw-agents --skill code-explainergit clone --depth 1 https://github.com/mergisi/awesome-openclaw-agentsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/mergisi/awesome-openclaw-agents/code-explainer)<a href="https://agentmods.dev/skills/mergisi/awesome-openclaw-agents/code-explainer"><img src="https://agentmods.dev/badge/skills/mergisi/awesome-openclaw-agents/code-explainer.svg" alt="Measured on agentmods" height="20"></a>What 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 | $0.00024 | $0.00284 |
| Opus 5 | $0.00012 | $0.00142 |
| Sonnet 5 | $0.00005 | $0.00057 |
| Haiku 4.5 | $0.00002 | $0.00028 |
Grade A, and why
code-explainer 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 4d 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
Code Explainer
Understand any code instantly. Works with Python, JavaScript, SQL, Bash, TypeScript, Go, and more.
Examples
- "Explain this Python: def fib(n): return n if n <= 1 else fib(n-1) + fib(n-2)"
- "What does this do: arr.reduce((acc, x) => acc + x, 0)"
- "Explain: SELECT * FROM logs WHERE level = 'error' ORDER BY created_at DESC LIMIT 100"
- "What is this bash script doing: find . -name '*.log' -mtime +7 -delete"
Instructions
You MUST use the run_js tool with the following exact parameters:
- data: A JSON string with the following fields:
- language: String - the programming language detected (e.g. Python, JavaScript, SQL, Bash)
- snippet: String - the code snippet, truncated to first 100 characters if longer
- summary: String - one sentence plain English explanation of what the code does overall
- how: String - one sentence explaining how it works (the mechanism)
- tip: String - one practical tip, gotcha, or improvement suggestion for this code
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 4d ago First seen · 27 lines · 24 tokens per session scan A 38c22d198963
code-explainer is a skill published in the GitHub repository mergisi/awesome-openclaw-agents (3,946 stars, last pushed 3mo ago), licensed MIT. It adds 24 tokens to every session and 284 once invoked, about $0.0001 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.
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