# chron

> Use this tool when you need to maintain a secure and private record of AI conversations, as it provides a timestamped audit trail stored locally on your device. This tool solves problems related to data ownership and transparency, allowing you to keep track of interactions with AI models. It takes in conversation data as input and outputs a locally stored log, ideal for use cases requiring privacy and accountability.

Canonical page: https://skillsregistry.net/skills/sirinivask-chron  
JSON: https://api.skillsregistry.net/v1/skills/sirinivask-chron

## Description

A timestamped audit trail for every AI conversation — stored locally, owned by you.

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/wwp80ccdn2)
- **Repository:** <https://github.com/SirinivasK/chron>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "sirinivask-chron"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sirinivask-chron` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sirinivask-chron/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt