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XRefKit

XRefKit is a framework for making AI-assisted work repeatable, reviewable, and handoff-ready.

It helps teams turn domain procedures and knowledge into work that can be performed with explicit evidence, human judgment, and completion checks.

Why XRefKit?

Using AI for real work creates recurring operating problems:

Why XRefKit is needed

  • the AI can act from incomplete context or unsupported guesses
  • procedures, domain facts, and judgment criteria get mixed together in prompts
  • execution, checking, and handoff collapse into one opaque step
  • work becomes hard to continue across agents, humans, or sessions
  • outputs may lack evidence, closure discipline, or auditability

XRefKit provides a repository and runtime model for addressing these problems.

What it provides

  • Skills — reusable procedures for a defined kind of work
  • Knowledge — source-backed domain facts and local rules
  • Workflow protocol — recorded progress, deterministic verification, and closure checks
  • Evidence and handoffs — outputs, judgments, concerns, and decisions that remain reviewable after the work is done
  • Skill Run Dashboard — inspect Skill execution status, referenced XIDs, evidence, judgments, concerns, and handoffs to improve the auditability of results
  • XIDs — stable references for connecting procedures, knowledge, and supporting documents

The package includes the resolver, Skill runtime, workflow controls, client tools, and an optional MCP adapter.

The Skill Run Dashboard helps people trace how a Skill run used its referenced XIDs and recorded its evidence before accepting or handing off the result.

Quick start

XRefKit requires Python 3.11 or later.

python -m pip install xrefkit
xrefkit init
xrefkit --help

For local development:

python -m pip install -e .
xrefkit init

For the optional MCP server:

python -m pip install "xrefkit[mcp]"
xrefkit mcp serve --repo . --transport stdio

Where to go next

Security

XRefKit does not require provider API keys to explore or install the package. Do not commit secrets, API keys, access tokens, .env files, or provider credentials. Authenticate external AI tools through their official provider mechanisms.

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