# memory-pulse

> memory-pulse — t-crew-memory-pulse. Use this tool when you need to maintain consistent coding project memory and prevent errors. It solves problems of incorrect edits and withdrawn values by prioritizing corrections and blocking harmful changes. With inputs from GitHub Actions and outputs to coding agents like Claude Code and Codex, it streamlines the coding process.

Canonical page: https://skillsregistry.net/skills/t-crew-memory-pulse  
JSON: https://api.skillsregistry.net/v1/skills/t-crew-memory-pulse

## Description

Causal project memory for coding agents: corrections first in every session, and a guard that blocks the edit that writes a withdrawn value back. 4 MCP tools, ~670 tokens. Claude Code · Codex · Cursor · GitHub Actions

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-22

## Source

- **Source listing:** [GitHub](https://github.com/t-crew/memory-pulse)

## 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": "t-crew-memory-pulse"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/t-crew-memory-pulse` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/t-crew-memory-pulse/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