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/asiaostrich/universal-dev-standards/database-assistantnpx skills add AsiaOstrich/universal-dev-standards --skill database-assistantgit clone --depth 1 https://github.com/AsiaOstrich/universal-dev-standardsWrote 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/asiaostrich/universal-dev-standards/database-assistant)<a href="https://agentmods.dev/skills/asiaostrich/universal-dev-standards/database-assistant"><img src="https://agentmods.dev/badge/skills/asiaostrich/universal-dev-standards/database-assistant.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 | $0.00111 | $0.01035 |
| Opus 5 | $0.00056 | $0.00517 |
| Sonnet 5 | $0.00022 | $0.00207 |
| Haiku 4.5 | $0.00011 | $0.00103 |
Grade A, and why
database 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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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 · 103 lines · 111 tokens per session scan A 1e94407e2ef3
database is a skill published in the GitHub repository AsiaOstrich/universal-dev-standards (72 stars, last pushed 3d ago), with no licence file. It adds 111 tokens to every session and 1,035 once invoked, about $0.0006 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.
Other skills, from other repositories
system-design-building-blocks
Select infrastructure components by the constraint each removes: load balancers, caches and invalidation, queues and pub/sub, CDN, API gateway, rate limiting, consistent hashing. Use when choosing cache, queue, replica, or edge layers; defer engine tuning to the database category.
system-design-data-architecture
Choose and scale the data layer: SQL versus NoSQL per access pattern, single data ownership, replication and read scaling, partition key choice, hot partition and celebrity key mitigation. Use when selecting a store, planning sharding, or fixing a data-tier bottleneck.
android-testing
Write Android unit, Compose UI, and Hilt-integrated tests. Use when designing test behavior with MockK or coroutine test utilities; defer database/WorkManager-specific recipes to the owning feature skill.
database-hana
Apply SAP HANA database standards for SQL parameterization, in-memory engine optimization, dynamic IN query chunking, column aliasing on joins, and datatype casting. Use when writing SQL for SAP HANA, optimizing HANA queries, or diagnosing HANA driver errors.
database-migrations
Plan additive, zero-downtime schema migrations with rollout, backfill, and rollback awareness. Use when renaming columns, backfilling data, or shipping risky database changes.
database-mongodb
Apply MongoDB data-modeling, indexing, and query rules from access patterns. Use when designing schemas, choosing embed vs reference, or tuning MongoDB query behavior.