memory

memory is a skill for Claude Code from openshift-online/agent-control-plane. It costs 99 tokens per session (957 once invoked), scanned A, a copy of memory, MIT.

A tool for managing the project’s saved notes, called auto-memory. It keeps decisions and other useful project context in memory files.

In plain words
What is it for?
Viewing a memory summary, searching saved notes, auditing them for stale or duplicate entries, pruning them with confirmation, and adding new memories.
Why use it?
It helps an agent find earlier context and check whether saved notes are outdated or duplicated, instead of relying only on the current conversation.

Skill for Claude Code

Written for Claude Code: $ARGUMENTS substitution. Also seen: mentions CLAUDE.md.

Good fit Viewing a memory summary, searching saved notes, auditing them for stale or duplicate entries, pruning them with confirmation, and adding new memories.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/openshift-online/agent-control-plane/memory
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add openshift-online/agent-control-plane --skill memory
Clone the repo
git clone --depth 1 https://github.com/openshift-online/agent-control-plane

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for memory

README.md
[![agentmods](https://agentmods.dev/badge/skills/openshift-online/agent-control-plane/memory/github.svg)](https://agentmods.dev/skills/openshift-online/agent-control-plane/memory)
Your own site
<a href="https://agentmods.dev/skills/openshift-online/agent-control-plane/memory"><img src="https://agentmods.dev/badge/skills/openshift-online/agent-control-plane/memory/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for memory

Your own site · 80×15
<a href="https://agentmods.dev/skills/openshift-online/agent-control-plane/memory"><img src="https://agentmods.dev/badge/skills/openshift-online/agent-control-plane/memory.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 99 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 957 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00099 $0.00957
Opus 5.5 $0.00040 $0.00383
Sonnet 5.5 $0.00020 $0.00191
Haiku 4.5 $0.00010 $0.00096

Measured 1mo ago against content hash a2fd9bd480ae, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

memory scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

100% identical to memory — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/tooling/memory/SKILL.md · 129 lines

How it starts

The opening of the file, as written. The whole thing — 129 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Memory Management

Manage the auto-memory system for the Ambient Code Platform project.

Usage

/memory                    # Show summary of all memories
/memory search <query>     # Search for a topic
/memory audit              # Check for stale/duplicate memories
/memory prune              # Remove stale memories (with confirmation)
/memory add <topic>        # Create a new memory

User Input

$ARGUMENTS

Parse the subcommand from $ARGUMENTS. Default to summary if empty.

Memory Location

All memory files live at:

$HOME/.claude/projects/<project-slug>/memory/

Use the active project's slug (the repo path with / replaced by -).

The index file is MEMORY.md in that directory.

Subcommands

/memory — Summary

  1. Read MEMORY.md to get the index
  2. Count total memories by type (user, feedback, project, reference)
  3. List the most recently modified files
  4. Report: total count, breakdown by type, last modified dates

/memory search <query>

  1. Read MEMORY.md for the index
  2. Grep through all memory files for the query term
  3. Read matching files and show relevant excerpts
  4. Report: matching files with frontmatter (name, type, description)

/memory audit

Check for quality issues:

  1. Stale memories — project/reference memories older than 3 months may be outdated
  2. Duplicate memories — similar names or descriptions across files
  3. Missing frontmatter — files without proper name, description, type fields
  4. Orphaned files — memory files not referenced in MEMORY.md
  5. Broken links — MEMORY.md entries pointing to nonexistent files
  6. Oversized index — MEMORY.md approaching the 200-line truncation limit

Report each issue with the file path and suggested action.

/memory prune

  1. Run the audit checks
  2. Present findings to the user
  3. For each stale/duplicate/orphaned memory, ask: keep, update, or delete?
  4. Execute confirmed deletions
  5. Update MEMORY.md index accordingly

Read the full file on GitHub · 129 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 1mo ago First seen · 129 lines · 99 tokens per session scan A a2fd9bd480ae

Subscribe to this mod's changes

memory is a skill published in the GitHub repository openshift-online/agent-control-plane (12 stars, last pushed today), licensed MIT. It adds 99 tokens to every session and 957 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to memory, differing in 0 lines, and is treated as a copy.

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