Borrowing it
Nothing to install: this file belongs to hoangsonww/WealthWise-Finance-Tracker. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/hoangsonww/WealthWise-Finance-Tracker/master/.agents/skills/new-model/SKILL.mdgit clone --depth 1 https://github.com/hoangsonww/WealthWise-Finance-TrackerWrote 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/hoangsonww/wealthwise-finance-tracker/new-model)<a href="https://agentmods.dev/skills/hoangsonww/wealthwise-finance-tracker/new-model"><img src="https://agentmods.dev/badge/skills/hoangsonww/wealthwise-finance-tracker/new-model/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/hoangsonww/wealthwise-finance-tracker/new-model"><img src="https://agentmods.dev/badge/skills/hoangsonww/wealthwise-finance-tracker/new-model.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium MCP Rug Pull · line 82 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
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 | $0.00072 | $0.00679 |
| Opus 5 | $0.00036 | $0.00340 |
| Sonnet 5 | $0.00014 | $0.00136 |
| Haiku 4.5 | $0.00007 | $0.00068 |
Grade A, and why
new-model 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 11d 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 — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Scaffold a new Mongoose model with its full CRUD service.
The entity name is provided in the task prompt.
Files to create
Model — apps/api/src/models/<entity>.model.ts
import { Schema, model, Document, Types } from 'mongoose';
export interface I<Entity> extends Document {
userId: Types.ObjectId;
// entity-specific fields
createdAt: Date;
updatedAt: Date;
}
const <entity>Schema = new Schema<I<Entity>>(
{
userId: {
type: Schema.Types.ObjectId,
ref: 'User',
required: true,
index: true,
},
// entity fields
},
{
timestamps: true, // handles createdAt/updatedAt automatically
toJSON: { virtuals: true },
toObject: { virtuals: true },
}
);
// All indexes defined here — never outside the schema file
<entity>Schema.index({ userId: 1, createdAt: -1 });
export const <Entity>Model = model<I<Entity>>('<Entity>', <entity>Schema);
Service — apps/api/src/services/<entity>.service.ts
Five methods, fully typed:
-
get<Entity>s(userId: string): Promise<I<Entity>[]>- Filter:
{ userId: new Types.ObjectId(userId) }
- Filter:
-
get<Entity>ById(id: string, userId: string): Promise<I<Entity>>- Throw
ApiError.notFound('<Entity> not found')if not found — never return null
- Throw
-
create<Entity>(userId: string, data: Create<Entity>Input): Promise<I<Entity>>- Attach
userIdto the document before saving
- Attach
-
update<Entity>(id: string, userId: string, data: Update<Entity>Input): Promise<I<Entity>>- Filter by both
_idanduserId— throwApiError.notFoundif missing - Use
{ new: true }infindOneAndUpdate
- Filter by both
-
delete<Entity>(id: string, userId: string): Promise<void>- Filter by both
_idanduserId— throwApiError.notFoundif missing
- Filter by both
Rules
- Import
ApiErrorfromutils/api-error.ts— neverthrow new Error(...) - Every query includes
userIdas a filter — no cross-user access - Use
new Types.ObjectId(userId)when building ObjectId filters - Never expose raw Mongoose errors — catch and rethrow as
ApiError.internal(...) - Named exports only. No
any.
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.
- 11d ago First seen · 86 lines · 72 tokens per session scan A bc05e0f6d348
new-model is a skill published in the GitHub repository hoangsonww/WealthWise-Finance-Tracker (24 stars, last pushed 3d ago), licensed MIT. It adds 72 tokens to every session and 679 once invoked, about $0.0004 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.
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