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/phuoctrung-ppt/ai-sdlc-workflow/databases-mongodbnpx skills add phuoctrung-ppt/ai-sdlc-workflow --skill databases-mongodbgit clone --depth 1 https://github.com/phuoctrung-ppt/ai-sdlc-workflowWrote 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/phuoctrung-ppt/ai-sdlc-workflow/databases-mongodb)<a href="https://agentmods.dev/skills/phuoctrung-ppt/ai-sdlc-workflow/databases-mongodb"><img src="https://agentmods.dev/badge/skills/phuoctrung-ppt/ai-sdlc-workflow/databases-mongodb.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 | $0.00040 | $0.00332 |
| Opus 5 | $0.00020 | $0.00166 |
| Sonnet 5 | $0.00008 | $0.00066 |
| Haiku 4.5 | $0.00004 | $0.00033 |
Grade A, and why
databases-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 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
Databases — MongoDB (Optional)
Stack-gated MongoDB skill. Lives under .cursor/skills/optional/databases-mongodb/.
Activate when: AGENTS.md §2 Database includes MongoDB.
When to Use
- Document-centric models (JSON/BSON)
- Flexible schemas and rapid prototyping
- Aggregation pipelines
- Atlas cloud clusters
- Index design for MongoDB workloads
Quick Start
# Atlas: create cluster → connection string
mongosh "mongodb+srv://cluster.mongodb.net/mydb"
db.users.insertOne({ name: "Alice", age: 30 })
db.users.find({ age: { $gte: 18 } })
References
- mongodb-crud.md — CRUD, query operators, atomic updates
- mongodb-aggregation.md — Pipeline stages and patterns
- mongodb-indexing.md — Index types and performance
- mongodb-atlas.md — Atlas setup, monitoring, search
Best Practices
- Embed for 1-to-few; reference for 1-to-many / many-to-many
- Index frequently queried fields
- Prefer aggregation pipeline for complex transforms
- Enable auth + TLS in production
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.
- 4d ago First seen · 42 lines · 40 tokens per session scan A 8e648a95388e
databases-mongodb is a skill published in the GitHub repository phuoctrung-ppt/ai-sdlc-workflow (2 stars, last pushed 18d ago), licensed MIT. It adds 40 tokens to every session and 332 once invoked, about $0.0002 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 2026-08-31.
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