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 narpatsinghpurohit/tstack --skill creating-mongoose-schemasgit clone --depth 1 https://github.com/narpatsinghpurohit/tstackWrote 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/narpatsinghpurohit/tstack/creating-mongoose-schemas)<a href="https://agentmods.dev/skills/narpatsinghpurohit/tstack/creating-mongoose-schemas"><img src="https://agentmods.dev/badge/skills/narpatsinghpurohit/tstack/creating-mongoose-schemas/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/narpatsinghpurohit/tstack/creating-mongoose-schemas"><img src="https://agentmods.dev/badge/skills/narpatsinghpurohit/tstack/creating-mongoose-schemas.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 | $0.00066 | $0.00439 |
| Opus 5 | $0.00033 | $0.00219 |
| Sonnet 5 | $0.00013 | $0.00088 |
| Haiku 4.5 | $0.00007 | $0.00044 |
Grade A, and why
creating-mongoose-schemas 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 9d 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
Live Context
- Existing schemas: !
find apps/api/src/modules -name "*.schema.ts" -not -path "*/node_modules/*" 2>/dev/null
Task
Create Mongoose schema for: $ARGUMENTS
Creating Mongoose Schemas
Workflow
- [ ] Step 1: Define the schema class with decorators
- [ ] Step 2: Add indexes for query performance
- [ ] Step 3: Add virtuals and hooks (if needed)
- [ ] Step 4: Create repository extending BaseRepository
- [ ] Step 5: Register in feature module
Schema design guidelines
- Always include
orgIdas the first field —BaseRepositoryrequires it - Always enable
timestamps: trueforcreatedAtandupdatedAt - Use
select: falsefor sensitive fields likepasswordHash - Use
trim: trueon string fields - Use
lowercase: trueon email fields - Use
enumfor fields with known set of values - Prefer
.lean()in repository reads for performance
Rules
- rules/schema-rules.md — Schema conventions
Examples
- examples/generic-schema.md — Generic schema template (Product)
- examples/course-schema.md — Real-world reference (exam-ai-guru)
References
- references/connection-config.md — Mongoose connection config
What ships with it
3 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.
- 9d ago First seen · 52 lines · 66 tokens per session scan A d05cd417ef77
creating-mongoose-schemas is a skill published in the GitHub repository narpatsinghpurohit/tstack (5 stars, last pushed 5mo ago), licensed MIT. It adds 66 tokens to every session and 439 once invoked, about $0.0003 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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