neondatabase/mcp-server-neon is a remote Model Context Protocol server that connects AI assistants to Neon’s Postgres database management API. Users can manage databases, create projects and branches, run queries, and perform migrations through natural-language requests. The catalogue entries are instructions and skills for operating Neon through this server.
Borrowing it
Nothing to install: this file belongs to neondatabase/mcp-server-neon. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/neondatabase/mcp-server-neon/main/.agents/skills/logging-best-practices/SKILL.mdgit clone --depth 1 https://github.com/neondatabase/mcp-server-neonWrote 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/neondatabase/mcp-server-neon/logging-best-practices)<a href="https://agentmods.dev/skills/neondatabase/mcp-server-neon/logging-best-practices"><img src="https://agentmods.dev/badge/skills/neondatabase/mcp-server-neon/logging-best-practices/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/neondatabase/mcp-server-neon/logging-best-practices"><img src="https://agentmods.dev/badge/skills/neondatabase/mcp-server-neon/logging-best-practices.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 5.1 | $0.00023 | $0.01015 |
| Opus 5 | $0.00012 | $0.00508 |
| Sonnet 5 | $0.00005 | $0.00203 |
| Haiku 4.5 | $0.00002 | $0.00102 |
Grade A, and why
logging-best-practices 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 10d 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.
Copies of this mod
2 near-identical copies found in the catalogue:
- logging-best-practices — 100% identical, 0 lines differ
- logging-best-practices — 92% identical, 8 lines differ
How it starts
The opening of the file, as written. The whole thing — 128 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Logging Best Practices Skill
Version: 1.0.0
Purpose
This skill provides guidelines for implementing effective logging in applications. It focuses on wide events (also called canonical log lines) - a pattern where you emit a single, context-rich event per request per service, enabling powerful debugging and analytics.
When to Apply
Apply these guidelines when:
- Writing or reviewing logging code
- Adding console.log, logger.info, or similar
- Designing logging strategy for new services
- Setting up logging infrastructure
Core Principles
1. Wide Events (CRITICAL)
Emit one context-rich event per request per service. Instead of scattering log lines throughout your handler, consolidate everything into a single structured event emitted at request completion.
const wideEvent: Record<string, unknown> = {
method: 'POST',
path: '/checkout',
requestId: c.get('requestId'),
timestamp: new Date().toISOString(),
};
try {
const user = await getUser(c.get('userId'));
wideEvent.user = { id: user.id, subscription: user.subscription };
const cart = await getCart(user.id);
wideEvent.cart = { total_cents: cart.total, item_count: cart.items.length };
wideEvent.status_code = 200;
wideEvent.outcome = 'success';
return c.json({ success: true });
} catch (error) {
wideEvent.status_code = 500;
wideEvent.outcome = 'error';
wideEvent.error = { message: error.message, type: error.name };
throw error;
} finally {
wideEvent.duration_ms = Date.now() - startTime;
logger.info(wideEvent);
}
2. High Cardinality & Dimensionality (CRITICAL)
Include fields with high cardinality (user IDs, request IDs - millions of unique values) and high dimensionality (many fields per event). This enables querying by specific users and answering questions you haven't anticipated yet.
3. Business Context (CRITICAL)
Always include business context: user subscription tier, cart value, feature flags, account age. The goal is to know "a premium customer couldn't complete a $2,499 purchase" not just "checkout failed."
What ships with it
4 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.
- 10d ago First seen · 128 lines · 23 tokens per session scan A eadd94d35b6d
logging-best-practices is a skill published in the GitHub repository neondatabase/mcp-server-neon (631 stars, last pushed 2d ago), licensed MIT. It adds 23 tokens to every session and 1,015 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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