Canonical manifest schema
plugin.json targets the official 1.0.0 schema.
Agent Plugins specification §5.2
Drive Microsoft AgentRC from Copilot chat to assess AI readiness, generate flat or nested Copilot instructions, manage policies, and produce a self-contained HTML dashboard.
AI Readiness Cockpit
with reviewed context.
The catalog adds a fixed-commit inventory, operating summary, prerequisites, and task-fit guidance for AI Readiness Cockpit.
Installation
Install from github/awesome-copilot in a compatible Agent Plugins client. Node.js 20+, Microsoft AgentRC, and VS Code with Copilot agent plugins enabled are required.
git clone --filter=blob:none --sparse https://github.com/github/awesome-copilot.git
cd awesome-copilot
git sparse-checkout set plugins/acreadiness-cockpitExplainable standards check
Official latest version: 1.0.0 (Working Draft). The value is read from the official specification and cached for one day.
This is a static package-format check, not a security audit, quality score, malware scan, or guarantee of client compatibility.
plugin.json targets the official 1.0.0 schema.
Agent Plugins specification §5.2
The plugin name “acreadiness-cockpit” satisfies the 1–64 character naming rules.
Agent Plugins specification §§5.3 and 5.5
No unknown top-level manifest fields were found.
Agent Plugins specification §5.2
All present metadata and extension fields use permitted JSON types.
Agent Plugins specification §§5.2–5.6
A regular plugin.json file exists at the plugin root.
Agent Plugins specification §§4.1 and 5.1
0 immediate-child Agent Skills discovered; every SKILL.md passed required frontmatter and naming checks.
Agent Plugins specification §7.1 and Agent Skills specification
No root mcp.json is present; MCP is optional and its absence is conforming.
Agent Plugins specification §§6.2 and 7.2
Capabilities
Drive Microsoft AgentRC from Copilot chat to assess AI readiness, generate flat or nested Copilot instructions, manage policies, and produce a self-contained HTML dashboard.
The reviewed package declares 3 skills and 1 agent resources for its documented workflow.
Run and interpret AgentRC readiness scans; Render a self-contained reports/index.html dashboard; Generate flat Copilot instructions.
Generate nested monorepo instructions with applyTo globs; Create and apply AgentRC policies and CI thresholds.
Practical workflow
Run the AgentRC assessment and inspect its maturity, grade, pillar, policy, and remediation results.
Choose flat or nested instruction output, then review generated files and policy changes.
Package contents
acreadiness-cockpit declares 3 Skills, 0 MCP configurations, and 1 additional resource. The included-file links below point to the reviewed source repository.
Agent Skills
3
acreadiness-assess, acreadiness-generate-instructions, acreadiness-policy
MCP servers
0
No runtime service
Package format
Agent Plugins
Official latest 1.0.0
Synced source content
This README snapshot is stored by Agent Plugins Hub and refreshed by the daily GitHub synchronization pipeline. Remote images and embedded content are not loaded.
This repository does not currently provide a README snapshot. The plugin instructions below remain available.
Source documentation
Rendered from the linked GitHub source. Raw HTML is disabled, scripts cannot execute, remote images are omitted, and external links open separately.
This entry summarizes the fixed reviewed manifest and README without extending the upstream package's claims.
Drive Microsoft AgentRC from Copilot chat to assess AI readiness, generate flat or nested Copilot instructions, manage policies, and produce a self-contained HTML dashboard.
Skills: acreadiness-assess, acreadiness-generate-instructions, acreadiness-policy
Agent resources: ai-readiness-reporter
Agents are listed as resources because the extension declares them separately from skills. Only the real upstream plugin.json and README.md are listed as package files.
Node.js 20+, Microsoft AgentRC, and VS Code with Copilot agent plugins enabled are required.
Review generated output and consequential actions with the relevant maintainer or subject-matter expert.
The upstream manifest and README identify the plugin as MIT licensed.
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