docs: update rig description — L2-L4, configurable, token-optimized scout

Remove 'opinionated' and 'baseline' qualifiers. Update rig to reflect
L2-L4 scope (was L2-L3). Add 'token-optimized' to scout agent
description. Consistent across README and adoption guide.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

Author: franklywatson

README.md

@@ -23,15 +23,15 @@ The patterns were extracted from a [production-grade Telegram trading bot](docs/
 
 Peter Steinberger, creator of OpenClaw, has described a similar approach — managing 5-10 parallel agents, closing the feedback loop so agents verify their own work, investing heavily in planning before implementation, and treating code reviews as architecture discussions. His core insight: *"I don't think software engineering is dead with AI: in fact, quite the opposite."* Agentic development demands more engineering discipline, not less.
 
-Other frameworks approach similar problems from different angles. [gstack](https://github.com/garrytan/gstack) provides a skill framework with resolver pipelines. [superpowers](https://github.com/obra/superpowers) provides base skills for brainstorming, planning, TDD, and code review. [rig](https://github.com/franklywatson/claude-rig) is a baseline guardrails framework built on the L2-L3 patterns from this repo — an opinionated, configurable implementation that automates enforcement pipelines, tool routing, scout agents, and session management. Install with `rig init`. These systems informed this work — the best available ideas at the time, applied in practice.
+Other frameworks approach similar problems from different angles. [gstack](https://github.com/garrytan/gstack) provides a skill framework with resolver pipelines. [superpowers](https://github.com/obra/superpowers) provides base skills for brainstorming, planning, TDD, and code review. [rig](https://github.com/franklywatson/claude-rig) is a configurable guardrails framework built on the L2-L4 patterns from this repo — automating enforcement pipelines, tool routing, token-optimized scout agents, context eval, and session management. Install with `rig init`. These systems informed this work — the best available ideas at the time, applied in practice.
 
-The lineage: patterns were extracted from the reference project, organized into this library, then used to build rig — to serve as a working reference implementation and extensible toolkit for general use.
+The lineage: patterns were extracted from the reference project, organized into this library, then used to build rig — to serve as a working reference implementation and configurable toolkit for general use.
 
 ### Reference Implementations
 
 | System | What it implements | Language |
 |--------|-------------------|----------|
-| [rig](https://github.com/franklywatson/claude-rig) | Baseline guardrails framework: L2 enforcement pipeline, L3 tool routing + scout agent, L4 context eval, skill chain with phase transitions, CI guardrails. Configurable via `.harness.yaml`. | TypeScript |
+| [rig](https://github.com/franklywatson/claude-rig) | Guardrails framework: L2 enforcement pipeline, L3 tool routing + token-optimized scout agent, L4 context eval, skill chain with phase transitions, CI guardrails. Configurable via `.harness.yaml`. | TypeScript |
 | [gstack](https://github.com/garrytan/gstack) | L2 skill framework with resolver pipeline, preamble system | TypeScript |
 | [superpowers](https://github.com/obra/superpowers) | L2 base skills (brainstorming, TDD, verification, review), automated worktree management | Markdown/JS |
 | [my-claw](docs/references/reference-my-claw-case-study.md) | L1 design rinsing reference: autonomous multi-agent system whose architecture evolved through three phases of cross-domain design rinsing — YouTube demo to architecture, academic talk + codebases to agent design, agentic-patterns + compound engineering to development approach | Python |

docs/cross-cutting/adoption-guide.md

@@ -112,7 +112,7 @@ The pattern docs contain the detailed guidance. This guide links to them rather
 
 | System | What it implements | Language |
 |--------|-------------------|----------|
-| [rig](https://github.com/franklywatson/claude-rig) | L2 enforcement pipeline, L3 tool routing + scout agent, L4 context eval, skill chain with phase transitions, CLI installer | TypeScript |
+| [rig](https://github.com/franklywatson/claude-rig) | L2 enforcement pipeline, L3 tool routing + token-optimized scout agent, L4 context eval, skill chain with phase transitions, CI guardrails | TypeScript |
 | [gstack](https://github.com/garrytan/gstack) | L2 skill framework with resolver pipeline, preamble system | TypeScript |
 | [superpowers](https://github.com/obra/superpowers) | L2 base skills (brainstorming, TDD, verification, review), worktree management | Markdown/JS |