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 skills add G1Joshi/Agent-Skills --skill neongit clone --depth 1 https://github.com/G1Joshi/Agent-SkillsWrote 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/g1joshi/agent-skills/neon)<a href="https://agentmods.dev/skills/g1joshi/agent-skills/neon"><img src="https://agentmods.dev/badge/skills/g1joshi/agent-skills/neon/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/g1joshi/agent-skills/neon"><img src="https://agentmods.dev/badge/skills/g1joshi/agent-skills/neon.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00019 | $0.00358 |
| Opus 5 | $0.00010 | $0.00179 |
| Sonnet 5 | $0.00004 | $0.00072 |
| Haiku 4.5 | $0.00002 | $0.00036 |
Grade A, and why
neon 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 5d 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
Neon
Neon is a serverless open-source PostgreSQL database. It separates storage and compute to offer features like "Scale to Zero", "Instant Branching", and "Bottomless Storage".
When to Use
- Cost Efficiency: "Scale to Zero" means you pay nothing when no one is using the app (Dev/Test envs).
- Developer Workflow: "Instant Branching" (Copy-on-write) lets you create a full clone of specific Prod data for testing in 1 second.
- Standard Postgres: It is Postgres. Not a fork with limitations.
Core Concepts
Separated Architecture
- Compute: Stateless Postgres nodes. Can boot in <500ms.
- Storage: Custom "Pageserver" layer purely for storage.
Data Branching
You can fork your database at a specific timestamp or LSN.
# Create a branch for testing feature X
neon branch create test_feature_x --from main
This is instant (COW) and cheap.
Best Practices (2025)
Do:
- Use Branching for CI/CD: Spin up an ephemeral DB branch for every Pull Request. Run tests, delete branch.
- Use Connection Pooling: Neon includes PgBouncer proxy. Use the pooled connection string for serverless functions.
- Autoscaling: Configure autoscaling limits to handle spikes without overpaying.
Don't:
- Don't worry about storage size: Neon storage scales automatically.
References
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.
- 5d ago First seen · 49 lines · 19 tokens per session scan A 21c7236aa530
neon is a skill published in the GitHub repository G1Joshi/Agent-Skills (12 stars, last pushed 7mo ago), licensed MIT. It adds 19 tokens to every session and 358 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 2026-09-03.
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