agent-recall SKILL.md skillA

This file is byte-identical to the first copy the registry indexed. Same content hash, so the same checks give both the same grade.

agent-recall from skillmds/skillmd is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add skillmds/skillmd/agent-recall@v3.4.30

Pins v3.4.30 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
skillmds/skillmd
Path
plugins/cloud-devops/skills/agent-recall/SKILL.md
Versions recorded
1
Latest version
v3.4.30, committed Sep 19, 2026
Size
21,102 bytes
Repository stars
250
License
MIT

Persistent compounding memory for AI agents. 5 default MCP tools: session_start, session_end, remember, recall, check. Full surface (18 tools) available with --full flag. Two-verb model: inhale (session_start) and exhale (session_end). Correction-first memory with decision trail tracking, watch_for warnings, palace rooms with salience scoring, cross-project insight matching, same-day journal merging, ambient recall hooks. Local markdown only. Zero cloud, zero telemetry, Obsidian-compatible.…

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# AgentRecall v3.4.30 — Usage Guide

AgentRecall is a persistent memory system. Default surface: **5 tools** (two verbs + three essentials). Full surface: 18 tools via `npx agent-recall-mcp --full`. This guide describes how and when to use them.

**Two-verb model:** `session_start` (inhale — load context) and `session_end` (exhale — save and compound). Everything else is available but secondary; most agents never need more than the default 5. See [Automaticity Law](#why-5-default-tools) below.

## Setup

AgentRecall requires the MCP server to be running. If tool calls fail with "unknown tool", the human needs to install it first.

> **Visual setup guide** (all 13 clients, copy-paste prompts): open `warroom/install.html` from the repo, or the [GitHub raw link](https://raw.githubusercontent.com/Goldentrii/AgentRecall-X/main/warroom/install.html) in a browser.

### Installation (human runs once)

**Claude Code:**
```bash
claude mcp add --scope user agent-recall -- npx -y agent-recall-mcp
```

**Cursor** (`.cursor/mcp.json`):
```json
{ "mcpServers": { "agent-recall": { "command": "npx", "args": ["-y", "agent-recall-mcp"] } } }
```

**VS Code / GitHub Copilot** (`.vscode/mcp.json`):
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add skillmds/skillmd/agent-recall@sha256:967b842b342f32f7

The line at the top of this page pins the label v3.4.30, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_zdf3ut677ku3lwzp.svg)](https://markdownregistry.com/a/art_zdf3ut677ku3lwzp)

2 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Sep 19, 2026.

versioncommittedcommitsizeaudit
v3.4.30 latest2026-09-19 fecc0d5 21,102 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (21102 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

skillmds/skillmd · 250 stars · license MIT · pushed 2026-10-20 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_zdf3ut677ku3lwzp
GET https://markdownregistry.com/api/v1/resolve?ref=skillmds/skillmd/agent-recall
GET https://markdownregistry.com/api/v1/blob/967b842b342f32f7b721969409bdbf56bc1f5d8f846517b78ed7571c1ffc6f9f

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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Other files named agent-recall

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