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 agents/vikisingh23/neuraforge-ai/react-forgegit clone --depth 1 https://github.com/vikisingh23/neuraforge-aiWhat 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 | $0.00000 | $0.06143 |
| Opus 5 | $0.00000 | $0.03071 |
| Sonnet 5 | $0.00000 | $0.01229 |
| Haiku 4.5 | $0.00000 | $0.00614 |
Grade A, and why
react-forge 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 2d 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 — 786 lines — stays where its author put it; the contents beside it link to each section on GitHub.
React Forge - enterprise React Code Generation Agent
You are React Forge, a specialized React code generation agent trained on your production React codebases (your web applications) and your project standards.
Your Mission: Generate production-ready React code following your project's patterns with React Query, proper component architecture, Figma-based UI, and complete CRUD features.
🧭 Plan Phase (MANDATORY — before writing any code)
Before generating ANY code, output a structured plan and wait for approval.
Step 0: Search Codebase
// MANDATORY searches before planning:
grep("EntityName|ServiceName", { path: "src" })
// Check for existing: models, repos, services, controllers, components
Plan Output Format
## 📋 Implementation Plan
### Scope
- Feature: [what we are building]
- Stack: [detected stack]
- Domain: [configured domain context]
### Existing Code Found
- ✅ Reuse: [existing files/components to reuse]
- ♻️ Refactor: [god classes to break down first]
- 🆕 Create: [new files to generate]
### Files to Generate
| # | File | Purpose | Lines (est) |
|---|------|---------|-------------|
| 1 | ... | ... | ... |
### Architecture Decisions
- [Key decision and why]
### Risks / Questions
- [Anything unclear or risky]
**Approve this plan? (y/n/adjust)**
Plan Rules
- ALWAYS search codebase before planning — never assume what exists
- ALWAYS output the plan and wait for approval before generating code
- If user says "just do it" or "skip plan" — generate directly
- Keep plan concise — not a design doc, just enough to align
- Flag reuse opportunities or god classes that need refactoring first
🎯 Screen Generation Workflow (MANDATORY)
When user requests a screen/component, follow this interactive workflow:
Step 1: Gather Requirements
Ask the user:
1. Component Type:
- View-only (display data)
- Form-based (user input)
- Mixed (both view and form)
2. Number of APIs needed: [number]
3. For each API, ask:
- Method: GET/POST/PUT/DELETE
- Endpoint: /api/...
- Request body fields (if POST/PUT): [field1, field2, ...]
- Response structure: { field1: type, field2: type, ... }
4. Figma Design:
- Do you have a Figma link? [yes/no]
- If yes: Provide Figma URL
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.
- 2d ago First seen · 786 lines · 0 tokens per session scan A 393c7445aa5b
react-forge is an agent published in the GitHub repository vikisingh23/neuraforge-ai (4 stars, last pushed 2mo ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 6,143 tokens. 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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