Website specification — HTML, accessibility, security, SEO, agent-readiness. Platform-agnostic, sourced, MIT.
Score any site's agent readiness from your terminal or CI. The open-source CLI for ora.
Claude Skill for Generative Engine Optimization and agent readiness. Get cited by ChatGPT, Perplexity, and Google AI Overviews. Expose MCP, llms.txt, and OAuth to AI agents.
Audits a repository for how ready it is for AI coding agents, and returns a prioritized fix backlog with evidence for every finding.
Universal SEO skill for Opencode. 26 sub-skills + 19 sub-agents covering technical SEO, E-E-A-T, schema, GEO/AEO, agent readiness (Lighthouse Agentic Browsing, WebMCP, llms.txt), backlinks, local SEO, e-commerce, international SEO, Google APIs, and PDF/Excel reporting. 9 optional extensions for live SEO data. Fork from Claude Code
Track what LLMs say before users choose your developer tool.
An eval framework that measures whether AI agents can discover and use a product's API/CLI/SDK/MCP integration surface across Claude Code/Codex/OpenCode
A check that cannot fail looks exactly like a check that passes. AQK plants a known defect into a copy of your most-repaired file, runs your own declared checks against it, and counts a catch only when one names the planted file. Zero dependencies, one command.
LLM readiness linter for websites. Audits robots.txt, llms.txt, Schema.org, and content density on a 0-100 scale. Includes MCP server. Published on PyPI: pip install context-cli.
Build, retrofit, and score agent-native CLIs. An Agent Skill with a 12-step workflow, an 11-axis weighted rubric, and a Python+Typer scaffold.
Deterministic repo readiness scanner for AI coding agents.
Open-source readiness scanner for agent-facing websites, merchants, APIs, docs, and support surfaces.
Agent Readiness — independent third-party profile of a public API surface, by API Evangelist. A topic index covering the operational practices, signals, and patterns that make an API surface safely usable by autonomous AI agents rather than only by humans. Catalogs the specifications, identity layers, agent skill formats, and edge-layer signals tha
Free CLI to scan AI-agent readiness (12/33 signals, MIT). Bad score? Get ready-to-install ZIP fix-pack with llms.txt, schema, A2A, MCP for $1/$29/$99 at agentfix.pro.
Open-source browser evaluator for whether AI agents can actually use websites: 43 checks, task verdicts and a safety review. Local CLI, no telemetry. MIT.
Find out why a repository won't build on this machine. Cross-platform developer-environment diagnostics, reproducibility snapshots, machine-to-machine diffs and AI-agent readiness. Read-only, no telemetry.
Audit whether a software repository is ready for AI coding agents (Cursor, Codex, Claude Code, GitHub Copilot, and similar tools).
Score any site's readiness for AI agents and search: llms.txt, robots.txt AI crawler rules, structured data, link previews, OpenAPI, MCP, skills and A2A. An evidence-based standard and a read-only CLI.
CLI that audits repository readiness for AI agents, combining deterministic checks with optional AI-assisted evaluation and a local dashboard.
Audit any website for LLM discoverability and agent readiness. Checks AI crawler access, llms.txt, JSON-LD, MCP/A2A discovery, scrapability, and the SEO fundamentals AI retrieval still depends on. Local, free, no API keys.
To associate your repository with the agent-readiness topic, visit your repo's landing page and select "manage topics."