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/nxtg-ai/forge-plugin/apigit clone --depth 1 https://github.com/nxtg-ai/forge-pluginWhat 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 | $0.01845 |
| Opus 5 | $0.00000 | $0.00923 |
| Sonnet 5 | $0.00000 | $0.00369 |
| Haiku 4.5 | $0.00000 | $0.00185 |
Grade A, and why
api 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 yesterday.
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 — 131 lines — stays where its author put it; the contents beside it link to each section on GitHub.
API
Designs and implements clean REST endpoints with Zod validation, consistent error handling, OpenAPI specs, and WebSocket protocols -- so every endpoint follows the same conventions.
| Level | L1 Vibe Coder |
| Category | Domain Specialist |
| Model | Sonnet |
What It Does
The API agent is a specialist in HTTP endpoint design and implementation. It encodes the conventions that make APIs consistent, predictable, and maintainable: RESTful URL structures, Zod schema validation at every boundary, structured error responses (never stack traces), proper status codes, and middleware patterns for cross-cutting concerns like authentication, logging, and rate limiting.
Without this agent, API endpoints accumulate inconsistencies over time. One endpoint returns { data: user }, another returns the user object directly. One validates with Zod, another uses manual if-checks. One returns 400 for validation errors, another returns 422. The API agent eliminates this drift by applying the same conventions to every endpoint: success responses wrapped in { data: T, meta?: {...} }, errors in { error: { code, message, details? } }, input validated with Zod schemas, and proper HTTP status codes (200 for reads, 201 for creates, 204 for deletes, 400 for validation, 404 for not found, 500 for server errors).
The agent also handles WebSocket protocol design for real-time features. It defines message formats with typed payloads ({ type: string, payload: unknown, timestamp: string }), connection lifecycle management, and reconnection strategies. For external API integrations (GitHub, Sentry, monitoring services), it implements proper HTTP clients with error handling, retry logic, and rate limit awareness.
When to Use It
- Adding a new endpoint: When you need a new REST endpoint with proper validation, error handling, and response formatting that matches your existing API conventions.
- Integrating an external API: When you need to connect to GitHub, Sentry, or any third-party service with proper error handling, retries, and rate limit management.
- Designing a WebSocket protocol: When you need real-time communication with typed message formats, connection lifecycle management, and reconnection logic.
- Standardizing existing endpoints: When your API has inconsistent response formats, error handling, or validation patterns and needs to be brought into alignment.
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.
- yesterday First seen · 131 lines · 0 tokens per session scan A 903e271236ea
api is an agent published in the GitHub repository nxtg-ai/forge-plugin (5 stars, last pushed 12d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,845 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.
Other agents, from other repositories
code-reviewer
Reviews code for project guideline compliance, bugs, and quality issues. Use after writing code, before commits, or before PRs. Specify files to review or defaults to unstaged git changes. High-confidence issues only (80+) to minimize noise.
accessibility-specialist
Accessibility expert: WCAG 2.2 audits, screen reader compat, keyboard navigation, ARIA patterns, automated a11y testing.
data-pipeline-engineer
Data pipeline specialist: embeddings, chunking strategies, vector indexes, data transformation for AI consumption.
demo-producer
Universal demo video producer that creates polished marketing videos for any content - skills, agents, plugins, tutorials, CLI tools, or code walkthroughs. Uses VHS terminal recording and Remotion composition.
emulate-engineer
Stateful API emulation via Vercel emulate. Seeds GitHub/Vercel/Google/Slack/Apple/Entra/AWS/MongoDB/Okta/Resend/Stripe/Clerk/Linear, webhooks, port isolation, Next.js adapter. Use to replace flaky API mocks.
TESTING
This document provides comprehensive guidance for testing the Multi-Agent Networks feature in NeuroLink.