Produces auditable token-usage and cost reports from runtime evidence, normalized usage bundles, and repository-level report sets.
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Updated
May 15, 2026 - Python
Produces auditable token-usage and cost reports from runtime evidence, normalized usage bundles, and repository-level report sets.
High-performance routing engine that selects the best agent skill for a task and emits structured handoff decisions.
RL-style eval measuring intent/action divergence in frontier agents: model acknowledges a correction, then acts on the stale value anyway. 3 scenarios, 655 trials on claude-haiku-4-5, Sonnet 4.6, GPT-5.4, and Gemini 3.1 Pro Preview.
Execution layer for skill-dispatcher — runs multi-phase agent chains end-to-end with per-step telemetry and chain_id correlation
Audit and reduce YAML frontmatter bloat in AgentSkill SKILL.md files. Automates deduplication, flattening, and noise removal.
Agent authority guardrails for Claude Code & Grok — stop yield-back; drive reversible work yourself.
Audits APIs against OpenAPI, AsyncAPI, JSON Schema, protobuf, or PRD contracts to catch drift before release.
A pressure-release valve for AI coding agents: agents vent friction to a structured log, an analyzer mines it for systemic fixable causes. Portable SKILL.md format - Claude Code, Hermes, Codex, Cursor.
Audits frontend implementations for design-system drift across CSS, Tailwind, JSX, TSX, Vue, and Angular code.
Manages durable cross-agent shared memory for stable conventions, reusable policies, and organization-wide operating rules.
Behavior Profiles are persistent behavioral overlays for AI agents that govern how existing capabilities are used across tasks.
Scores and improves prompts for clarity, consistency, signal density, structure, and runtime fit.
MCP server for AI agent research — captures LLM reasoning, model identity, and feedback via schema injection
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