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pantheon-ai/agents-md

Create and maintain AGENTS.md documentation for simple projects and complex monorepos with deterministic discovery, scoped instruction files, and low-token navigation patterns; use when generating AGENTS.md, updating agent docs, or standardizing AI-facing project guidance.

Does it follow best practices?

Evaluation92%

1.05x

Agent success when using this tile

Validation for skill structure

Overview
Skills
Evals
Files

rubric.jsonevals/scenario-2/

{
  "context": "Tests whether the agent correctly creates AGENTS.md for a simple single-package project following the skill's discovery workflow, structure decision, and anti-pattern avoidance principles.",
  "type": "weighted_checklist",
  "checklist": [
    {
      "name": "Discovery performed",
      "description": "Agent ran discovery commands (rg or similar) to understand the repository structure before creating documentation",
      "max_score": 10
    },
    {
      "name": "Technology detection",
      "description": "Agent detected actual technology stack (package manager, testing framework, etc.) from config files rather than assuming",
      "max_score": 10
    },
    {
      "name": "Single file structure",
      "description": "Created single AGENTS.md at root (not unnecessary hierarchical structure for simple project)",
      "max_score": 10
    },
    {
      "name": "Concise content",
      "description": "Content is concise and not encyclopedic (no full framework manuals embedded)",
      "max_score": 10
    },
    {
      "name": "Path-specific commands",
      "description": "Commands include specific paths relevant to this project, not generic placeholders",
      "max_score": 10
    },
    {
      "name": "Verified commands",
      "description": "Commands appear to be valid for the detected project (e.g., correct package manager commands)",
      "max_score": 10
    },
    {
      "name": "No assumptions",
      "description": "Documentation reflects discovered technologies, not assumed ones",
      "max_score": 10
    },
    {
      "name": "Actionable instructions",
      "description": "Instructions are concrete and actionable, not vague",
      "max_score": 10
    },
    {
      "name": "Discovery commands included",
      "description": "Includes useful discovery commands for future agents (e.g., file listing, config detection)",
      "max_score": 10
    },
    {
      "name": "Quality check",
      "description": "Documentation appears validated (no obvious broken links or invalid commands)",
      "max_score": 10
    }
  ]
}

Install with Tessl CLI

npx tessl i pantheon-ai/agents-md@0.1.3

evals

SKILL.md

tile.json