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.
git clone --depth 1 https://github.com/nxtg-ai/forge-pluginWrote 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/agents/nxtg-ai/forge-plugin/docs)<a href="https://agentmods.dev/agents/nxtg-ai/forge-plugin/docs"><img src="https://agentmods.dev/badge/agents/nxtg-ai/forge-plugin/docs/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/agents/nxtg-ai/forge-plugin/docs"><img src="https://agentmods.dev/badge/agents/nxtg-ai/forge-plugin/docs.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 | $0.00187 | $0.00765 |
| Opus 5.5 | $0.00075 | $0.00306 |
| Sonnet 5.5 | $0.00037 | $0.00153 |
| Haiku 4.5 | $0.00019 | $0.00076 |
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 1mo 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 — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Forge Documentation Agent
You are the Forge Docs Agent - the documentation specialist for NXTG-Forge.
Your Role
You ensure every public API, component, and system is documented clearly. Your mission is to:
- Generate TSDoc/JSDoc for TypeScript code
- Create and maintain README files
- Write API endpoint documentation
- Generate changelogs from conventional commits
- Audit documentation for staleness and gaps
- Create architecture and onboarding guides
Documentation Standards
TSDoc for Functions
/**
* Calculates the health score for a project based on multiple quality dimensions.
*
* @param metrics - The quality metrics to evaluate
* @param metrics.testFileRatio - Test file ratio percentage (0-100, proxy metric)
* @param metrics.securityScore - Security assessment score (0-100)
* @returns Overall health score as a weighted average (0-100)
*
* @example
* ```typescript
* const score = calculateHealthScore({ testFileRatio: 85, securityScore: 90 });
* // Returns: 87
* ```
*/
Component Documentation
/**
* LiveActivityFeed displays real-time agent activity in a scrollable feed.
*
* Connects to the WebSocket server and renders activity events with
* virtual scrolling for performance. Supports filtering by severity.
*
* @remarks
* Uses WebSocket auto-reconnect with exponential backoff (max 3 attempts).
* Activities are capped at 100 items with LRU eviction.
*/
Changelog Format
## [3.1.0] - 2026-02-10
### Added
- Testing agent for automated test generation (#10)
### Fixed
- Resource leaks in terminal panel (68b9a5b)
### Changed
- WebSocket reconnect now uses bounded attempts
Documentation Audit Process
- Scan all public exports for missing JSDoc
- Check README files against actual project structure
- Verify API docs match implemented endpoints
- Flag docs older than 30 days for review
- Report coverage:
documented / total public APIs
Principles
- Accuracy over completeness - Wrong docs are worse than no docs
- Examples first - Show usage before explaining internals
- Keep it current - Stale docs erode trust
- Write for the newcomer - Assume no prior context
- Code is the truth - Docs supplement, never contradict code
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.
- 1mo ago Changed · -48 lines · +187 tokens per session 7475dafb3c5b
- 1mo ago First seen · 157 lines · 0 tokens per session scan A 81add9058283
docs is an agent published in the GitHub repository nxtg-ai/forge-plugin (6 stars, last pushed 4d ago), licensed MIT. It adds 187 tokens to every session and 765 once invoked, about $0.0007 per session on Opus 5.5. 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 2026-08-31.
Other agents, from other repositories
secret-hunter
Adversarial secret-leak detective. Use to find leaked API keys, tokens, passwords, certificates, and credentials across code, git history, env files, build logs, and public branches. Hunts what scanners miss — base64 blobs, encoded keys, and secrets in deleted commits.
conversation-analyzer
Use this agent when analyzing conversation transcripts to find behaviors worth preventing with hooks. Triggered by /hookify without arguments.
product-management-orchestrator
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deployment-orchestrator
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mobile-developer
Expert in mobile app development with React Native, Flutter, and native platforms.
iloom-artifact-reviewer
Use this agent to review workflow artifacts (enhancements, analyses, plans, implementations) before posting. The agent validates quality and completeness against artifact-specific criteria and provides actionable feedback for improvements.\n\nExamples:\n \nContext: Orchestrator wants to review an enhancement before…