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 vikisingh23/neuraforge-ai --skill domain-setupgit clone --depth 1 https://github.com/vikisingh23/neuraforge-aiWrote 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/vikisingh23/neuraforge-ai/domain-setup)<a href="https://agentmods.dev/skills/vikisingh23/neuraforge-ai/domain-setup"><img src="https://agentmods.dev/badge/skills/vikisingh23/neuraforge-ai/domain-setup/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/vikisingh23/neuraforge-ai/domain-setup"><img src="https://agentmods.dev/badge/skills/vikisingh23/neuraforge-ai/domain-setup.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 | $0.00021 | $0.00557 |
| Opus 5 | $0.00010 | $0.00279 |
| Sonnet 5 | $0.00004 | $0.00111 |
| Haiku 4.5 | $0.00002 | $0.00056 |
Grade A, and why
domain-setup 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 6d 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 — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Domain Setup
Configure the platform for your specific industry and region. This is optional — everything works with generic enterprise patterns if unconfigured.
Quick Setup Examples
Tell me your industry and country, and I'll configure the agents. Examples:
- "We're a SEBI-regulated mutual fund AMC in India"
- "We're a HIPAA-compliant telehealth startup in the US"
- "We're a PCI-DSS payment processor in the UK"
- "We're an e-commerce platform in Singapore"
- "We're a SaaS company serving EU customers"
What Gets Configured
Based on your input, I'll update the plugin configuration:
- Industry — financial-services, healthcare, e-commerce, saas, edtech, logistics
- Country — india, us, uk, eu, singapore, etc.
- Domain Details — specific regulatory context (SEBI, HIPAA, PCI-DSS, GDPR, etc.)
- Currency — ₹, $, £, €, etc.
How Agents Adapt
| Agent | What changes |
|---|---|
| Product Manager | Uses your regulatory framework for BRS, domain terminology for stories |
| Devil's Advocate | Challenges against your specific compliance requirements |
| Forge Agents | Currency formatting, audit patterns, entity naming, validation rules |
| Reviewers | Checks for your industry's compliance violations |
| Test Forge | Generates domain-specific test scenarios (e.g., KYC validation, HIPAA PHI handling) |
Supported Presets
Financial Services
- India: SEBI, RBI, AMFI, KYC/KRA, PAN, ₹ Indian format
- US: SEC, FINRA, SOX, AML/BSA, SSN, $ US format
- UK/EU: FCA, MiFID II, GDPR, KYC/AML, £/€
Healthcare
- US: HIPAA, PHI encryption, consent management
- EU: GDPR, DISHA, patient data protection
- India: DISHA, Ayushman Bharat, ABDM
E-Commerce
- PCI-DSS, consumer protection, multi-currency, tax calculations
SaaS
- SOC 2, GDPR, multi-tenant, subscription billing
To Configure
Just tell me about your business and I'll set it up. Or manually update the plugin config:
/plugin configure neuraforge-ai
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.
- 6d ago First seen · 67 lines · 21 tokens per session scan A 28cb5f112529
domain-setup is a skill published in the GitHub repository vikisingh23/neuraforge-ai (4 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 21 tokens to every session and 557 once invoked, about $0.0001 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
tasks
Manage tasks and plans using the .tasks/ directory.
config-orchestration
Orchestrates project configuration operations — generate, validate, diff, and add-env.
techpack-settings
Component type definitions, settings schemas, directory patterns, and validation rules for the fullstack-typescript tech pack.
performance-management
Runs performance systems that change behavior — expectations, feedback, review cycles, calibration, and handling underperformance. Use this to design or fix a review process, run calibration, write or coach on feedback, address sustained underperformance, or work out why reviews consume weeks and change nothing.
wrongstack-mailbox-mcp
Coordinate with WrongStack agents through the project-scoped Mailbox MCP server. Use when an external coding agent needs to inspect unread or incomplete messages, query conversation history, discover online agents, send direct/reply/broadcast/steer messages, acknowledge outcomes, maintain its presence, soft-delete or…
batch
Dispatch a night's batch of Todo tickets — one worktree and one pull request each — and leave a morning summary. Run explicitly; never inferred.