Borrowing it
Nothing to install: this file belongs to opencue/cuecards. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/opencue/cuecards/main/.agents/skills/memory-management/SKILL.mdgit clone --depth 1 https://github.com/opencue/cuecardsWrote 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.
[](https://agentmods.dev/skills/opencue/cuecards/memory-management)<a href="https://agentmods.dev/skills/opencue/cuecards/memory-management"><img src="https://agentmods.dev/badge/skills/opencue/cuecards/memory-management.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00041 | $0.04591 |
| Opus 5 | $0.00020 | $0.02295 |
| Sonnet 5 | $0.00008 | $0.00918 |
| Haiku 4.5 | $0.00004 | $0.00459 |
Grade A, and why
memory-management 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 3d 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.
How it starts
The opening of the file, as written. The whole thing — 272 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Memory Management
This skill implements a three-tier memory system (HOT/WARM/COLD) for SEO and GEO projects. HOT memory (80 lines max) loads automatically every session via the SessionStart hook. WARM memory loads on demand per skill. COLD memory is archived data queried only when explicitly requested. The skill manages the full lifecycle: capture, promote, demote, and archive.
What This Skill Does
Manages a three-tier memory lifecycle (HOT/WARM/COLD) with automatic promotion, demotion, and archival. Also maintains the wiki index layer, open-loop tracking, and cross-skill aggregation.
Quick Start
Start with one of these prompts. Finish with a hot-cache update plan and a handoff summary using the repository format in Skill Contract.
Initialize Wiki Index
Refresh wiki index
Build wiki index for [project name]
Generates memory/wiki/index.md from existing WARM files. Required once to enable wiki features; subsequent refreshes happen automatically.
Initialize Memory Structure
Set up SEO memory for [project name]
Initialize memory structure for a new [industry] website optimization project
Update After Analysis
Update memory after ranking check for [keyword group]
Refresh hot cache with latest competitor analysis findings
Query Stored Context
What are our hero keywords?
Show me the last ranking update date for [keyword category]
Look up our primary competitors and their domain authority
Promotion and Demotion
Promote [keyword] to hot cache
Archive stale data that hasn't been referenced in 30+ days
Glossary Management
Add [term] to project glossary: [definition]
What does [internal jargon] mean in this project?
Skill Contract
Expected output: a memory update plan, hot-cache changes, and a short handoff summary.
What ships with it
7 files 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.
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.
- 3d ago First seen · 272 lines · 41 tokens per session scan A a0de940e9e33
memory-management is a skill published in the GitHub repository opencue/cuecards (5 stars, last pushed today), licensed MIT. It adds 41 tokens to every session and 4,591 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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Use when the user says 'update state', 'project state', 'where was I', or at session start to load current context.