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/sql-explainernpx skills add mergisi/awesome-openclaw-agents --skill sql-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/sql-explainer)<a href="https://agentmods.dev/skills/mergisi/awesome-openclaw-agents/sql-explainer"><img src="https://agentmods.dev/badge/skills/mergisi/awesome-openclaw-agents/sql-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 | $0.00020 | $0.00296 |
| Opus 5 | $0.00010 | $0.00148 |
| Sonnet 5 | $0.00004 | $0.00059 |
| Haiku 4.5 | $0.00002 | $0.00030 |
Grade A, and why
sql-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
SQL Explainer
Turn any SQL query into a clear, plain English breakdown. No database knowledge required.
Examples
- "SELECT * FROM users WHERE created_at > NOW() - INTERVAL 7 DAY"
- "Explain: SELECT p.name, COUNT(o.id) FROM products p LEFT JOIN orders o ON p.id = o.product_id GROUP BY p.id"
- "What does this do: DELETE FROM sessions WHERE expires_at < NOW()"
- "EXPLAIN SELECT u.email, SUM(o.total) FROM users u JOIN orders o ON u.id = o.user_id GROUP BY u.id HAVING SUM(o.total) > 1000"
Instructions
You MUST use the run_js tool with the following exact parameters:
- data: A JSON string with the following fields:
- query: String - the SQL query (truncate to first 120 characters if longer)
- summary: String - one sentence plain English summary of what the query does
- step1: String - first thing the query does (short phrase)
- step2: String - second thing the query does (short phrase)
- step3: String - third thing the query does, or empty string if not applicable
- tip: String - one useful tip or potential issue to watch out for with this query
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 · 28 lines · 20 tokens per session scan A 2c9775ae17cf
sql-explainer is a skill published in the GitHub repository mergisi/awesome-openclaw-agents (3,946 stars, last pushed 3mo ago), licensed MIT. It adds 20 tokens to every session and 296 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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