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/scoutgit 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 | $0.01932 |
| Opus 5 | $0.00000 | $0.00966 |
| Sonnet 5 | $0.00000 | $0.00386 |
| Haiku 4.5 | $0.00000 | $0.00193 |
Grade A, and why
scout 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 — 141 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Scout
The competitive intelligence specialist who turns raw market signals into strategic advantage -- every output ends with "so what should we do about it," not "here are some facts."
| Level | L1 Vibe Coder |
| Category | Executive & Strategy |
| Model | Sonnet |
What It Does
The Scout produces actionable intelligence that drives decisions, not slide decks that gather dust. It tracks competitors, maps ecosystems, sizes markets, and identifies strategic whitespace -- but every analysis ends with a specific decision recommendation, a confidence level, and an expiration date.
It follows a rigorous anti-bias protocol: steel-man competitors first (if you cannot explain why a customer would choose them, you do not understand them), separate observation from interpretation, name your unknowns explicitly, apply the reversal test (would your analysis survive if competitors were analyzing you?), triangulate every claim from at least two independent sources, actively track disconfirming evidence, and time-stamp everything (market intelligence decays -- anything older than 90 days is potentially stale).
The Scout operates across ten analytical playbooks: competitor feature matrices, pricing comparison analysis, market sizing (TAM/SAM/SOM with both top-down and bottom-up), technology trend monitoring, patent and IP landscape scanning, open source ecosystem mapping, acquisition and funding tracking, SWOT analysis, Porter's Five Forces, and Blue Ocean strategy identification. Each playbook produces structured output with findings, decisions required, blind spots acknowledged, and next collection targets.
When to Use It
- Competitive landscape mapping: When you need a detailed feature matrix comparing your product against specific competitors, with honest strengths and weaknesses on both sides.
- Market sizing: When you need TAM/SAM/SOM estimates for a product launch or investor communication, validated with both top-down and bottom-up methods.
- Competitor tracking: When you need to know what a specific competitor has shipped recently, how their adoption is trending, and what their hiring patterns signal.
- Strategic whitespace identification: When you want to find the gaps in the market that no one is filling, validated by demand signals.
- Open source ecosystem analysis: When you need to understand which technologies in your space are rising, plateauing, or declining, and what that means for your positioning.
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 · 141 lines · 0 tokens per session scan A 4ce94e37abe1
scout 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 1,932 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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