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 jabrena/plinth --skill 705-technologies-nosql-mongodbgit clone --depth 1 https://github.com/jabrena/plinthWrote 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/jabrena/plinth/705-technologies-nosql-mongodb)<a href="https://agentmods.dev/skills/jabrena/plinth/705-technologies-nosql-mongodb"><img src="https://agentmods.dev/badge/skills/jabrena/plinth/705-technologies-nosql-mongodb/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/jabrena/plinth/705-technologies-nosql-mongodb"><img src="https://agentmods.dev/badge/skills/jabrena/plinth/705-technologies-nosql-mongodb.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 | $0.00116 | $0.00943 |
| Opus 5 | $0.00058 | $0.00472 |
| Sonnet 5 | $0.00023 | $0.00189 |
| Haiku 4.5 | $0.00012 | $0.00094 |
Grade A, and why
705-technologies-nosql-mongodb 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 7d 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.
How it starts
The opening of the file, as written. The whole thing — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Non-relational database query best practices
Help teams design maintainable, secure, and performant MongoDB and non-relational database queries for Java applications.
What is covered in this Skill?
- Document modeling for aggregates, embedded documents, references, arrays, and bounded growth
- MongoDB JSON Schema validation and compatibility-aware schema evolution
- Query design: explicit predicates, projections, sort stability, pagination, collation, and read concerns
- Index strategy: compound indexes, covering queries, partial indexes, TTL indexes, unique constraints, and lifecycle review
- Aggregation pipelines: stage ordering,
$matchpushdown,$project,$lookup,$unwind,$group, and memory controls - Consistency, transactions, idempotency, migration safety, testing, observability, and production diagnostics
Scope: Framework-agnostic MongoDB and non-relational data modeling. For Java framework integrations, defer to the matching Spring Boot, Quarkus, or Micronaut MongoDB skill.
Constraints
Keep recommendations at the database-modeling and query layer unless the user explicitly asks for Java framework integration. After editing this repository's XML sources, regenerate skills and verify the build.
- MANDATORY: Run
./mvnw compileormvn compilebefore proposing Java or Maven changes in the same change set - INJECTION: Never concatenate untrusted input into query documents, aggregation stages, JSON strings, JavaScript expressions, or
$where; use driver/framework query builders and validated parameters - SCHEMA: Prefer explicit document contracts, bounded arrays, stable identifiers, and validation rules over unconstrained document growth
- PERFORMANCE: Review
explain()plans, scanned/returned ratios, sort coverage, and index selectivity before claiming a query is optimized - FRAMEWORK: Defer Spring MongoDB to
@315-frameworks-spring-mongodb, Quarkus MongoDB to@415-frameworks-quarkus-mongodb, Micronaut MongoDB to@515-frameworks-micronaut-mongodb, and Mongock migrations to the matching framework migration skill - VERIFY: Run
./mvnw clean verifyormvn clean verifybefore promoting changes - EDGE CASE: If the target database, version, shard topology, read/write concern, data volume, or latency requirement is missing and affects the recommendation, ask a clarifying question before editing queries or schemas
- EDGE CASE: If requested changes conflict with data safety, backwards compatibility, zero-downtime deployment, or retention requirements, explain the trade-off and ask for confirmation
What ships with it
1 file 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.
- 7d ago First seen · 66 lines · 116 tokens per session scan A 9327ff05c672
705-technologies-nosql-mongodb is a skill published in the GitHub repository jabrena/plinth (438 stars, last pushed today), licensed Apache-2.0. It adds 116 tokens to every session and 943 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 2026-09-03.
Other skills, from other repositories
kit-nosql
NoSQL guardrails pack — MongoDB $set/replace and schema drift, Redis SCAN/TTL/atomicity, eventual consistency. Use when writing MongoDB, Redis, DynamoDB, or other non-relational store code.
jpa-patterns
JPA/Hibernate patterns and common pitfalls (N+1, lazy loading, transactions, queries). Use when user has JPA performance issues, LazyInitializationException, or asks about entity relationships and fetching strategies.
ecto-patterns
Ecto patterns — schemas, changesets, queries, migrations, Multi, associations, preloads, upserts. Use when editing Repo calls, Ecto.Query, or schema fields. Skip for Ash.
phoenix-contexts
Phoenix context design — creating/splitting contexts, Scope (1.8+), Ecto.Multi, PubSub, routers, plugs, controllers. Use when editing contexts, routers, or designing boundaries.
ecto-n1-check
Detect N+1 query anti-patterns specifically — Repo calls inside Enum/for loops, missing preloads on associations. Use when N+1 is explicitly suspected, NOT for unrelated Ecto questions or wider database performance.
ecto-constraint-debug
Debug Ecto constraint violations - trace triggers, check migrations, find duplicate data. Use when seeing uniqueconstraint, foreignkeyconstraint, or checkconstraint errors.