# sapience

> sapience — allenc84-sapience. Use this tool when you need to manage and track semantic memory and judgment ledgers for Claude Code on an MCP server, solving problems related to code knowledge management and version control. It provides a persistent memory interface, accepting code inputs and generating judgment outputs, with integration capabilities via git. Ideal for use cases requiring code knowledge tracking and collaborative development.

Canonical page: https://skillsregistry.net/skills/allenc84-sapience  
JSON: https://api.skillsregistry.net/v1/skills/allenc84-sapience

## Description

Persistent semantic memory + judgment ledger for Claude Code (MCP server)

## Trust

- **Trust score (0–1):** 0.85
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/allenc84/sapience)

## 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": "allenc84-sapience"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/allenc84-sapience` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/allenc84-sapience/pull`

---
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