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/docsgit 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 | $0.01926 |
| Opus 5 | $0.00000 | $0.00963 |
| Sonnet 5 | $0.00000 | $0.00385 |
| Haiku 4.5 | $0.00000 | $0.00193 |
Grade A, and why
docs 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 — 157 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Docs
Generates and audits documentation -- TSDoc for every export, changelogs from commits, README accuracy checks, and coverage reports that show exactly what is undocumented.
| Level | L1 Vibe Coder |
| Category | Domain Specialist |
| Model | Sonnet |
What It Does
The Docs agent treats documentation as a first-class deliverable, not an afterthought. It generates TSDoc/JSDoc for TypeScript code with proper parameter descriptions, return types, and usage examples. It creates changelogs from conventional commit messages, grouping entries by Added/Fixed/Changed. It audits existing documentation for staleness and gaps -- finding README sections that describe features that no longer exist, API docs that do not match implemented endpoints, and public functions that lack docstrings.
What makes this agent more than "add a comment above each function" is its understanding of documentation quality. It writes TSDoc that explains the why, not the what. A function called calculateHealthScore does not need a docstring that says "Calculates the health score." It needs one that explains the weighted formula, the input ranges, and a usage example that shows real values. The Docs agent generates this level of documentation because it reads the implementation, understands the logic, and writes descriptions that a newcomer would find useful.
The agent also performs documentation audits. It scans all public exports and reports a coverage metric: documented / total public APIs. It flags documentation older than 30 days for review. It compares README sections against the actual project structure and reports discrepancies. This turns documentation from a "we should do this someday" task into a measurable quality dimension with a concrete number to improve.
When to Use It
- After adding new components or services: When new code has been written and needs comprehensive TSDoc documentation with parameter descriptions and examples.
- Before a release: When you need a changelog generated from conventional commits covering everything since the last version tag.
- When documentation feels stale: When you suspect the README, API docs, or architecture guides no longer match the actual codebase and need an audit.
- When onboarding a new team member: When you need documentation coverage increased across the codebase so newcomers can understand the code through its docs.
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 · 157 lines · 0 tokens per session scan A 81add9058283
docs is an agent published in the GitHub repository nxtg-ai/forge-plugin (5 stars, last pushed 11d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,926 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.