What technologies does it support?

It works for any software ecosystem including .NET, Node.js, React, Python, and various package managers.

How does this prevent hallucinations?

It blocks the AI from relying on its internal, potentially stale training data by forcing it to check external documentation first.

What is an epistemic checkpoint?

It is a mandatory pause in the AI's reasoning process to verify factual claims about versions and dates against real-time data before answering.

Can I customize the ground-truth sources?

Yes, you can define local facts in an assertions.yaml file which the skill prioritizes over general web searches.

When does this skill activate?

It triggers automatically whenever a prompt mentions 'current,' 'latest,' specific version numbers, or release statuses.

Epistemic Checkpoint

Name: Epistemic Checkpoint
Author: ANcpLua

byANcpLua

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Developer Tools

Eliminates hallucinations by forcing real-time verification of software versions, release statuses, and dates before providing technical answers.

About

Epistemic Checkpoint acts as a metacognitive guard for Claude, preventing root-cause hallucinations where the model relies on stale training data. It enforces a mandatory verification protocol that triggers whenever a query involves package versions, API deprecations, or current release statuses. By checking local ground truth in a blackboard file or performing targeted web searches of official documentation before forming a belief, it ensures that Claude’s reasoning is grounded in the latest technical reality rather than outdated memory.

Key Features

Automated verification of software versions and LTS statuses
Local ground-truth integration via assertions.yaml
Structured verification output for transparency and user trust
Targeted web search protocol for official documentation
Active prevention of reasoning errors in fast-moving tech stacks
1 GitHub stars

Use Cases

Ensuring architectural decisions are based on the actual current release state of a dependency
Verifying API deprecations and latest stable versions during legacy migrations
Developing with bleeding-edge frameworks where model training data is obsolete

About

Key Features

Automated verification of software versions and LTS statuses
Local ground-truth integration via assertions.yaml
Structured verification output for transparency and user trust
Targeted web search protocol for official documentation
Active prevention of reasoning errors in fast-moving tech stacks
1 GitHub stars

Use Cases

Ensuring architectural decisions are based on the actual current release state of a dependency
Verifying API deprecations and latest stable versions during legacy migrations
Developing with bleeding-edge frameworks where model training data is obsolete