memory-hub: Skill for Claude Code

.claude/skills/plan-epics/SKILL.md

plan-epics is a skill for Claude Code from redhat-ai-americas/memory-hub. It costs 95 tokens per session (2,773 once invoked), scanned A, original, no licence file.

A planning tool that looks across multiple active epics, meaning large pieces of work. It reviews their session plans, finds stalled or finished work, notices epics without plans, and helps choose what to advance next.

In plain words
What is it for?
Use it to review all in-flight epics, identify blocked or completed ones, and decide which epic to push next.
Why use it?
It provides a portfolio-level view so work is not managed one epic at a time without seeing the wider priorities.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

This is redhat-ai-americas/memory-hub's own configuration. It tells Claude Code how to work on memory-hub itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything memory-hub configures →

Reuse

Borrowing it

Nothing to install: this file belongs to redhat-ai-americas/memory-hub. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/redhat-ai-americas/memory-hub/main/.claude/skills/plan-epics/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/redhat-ai-americas/memory-hub

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 plan-epics

README.md
[![agentmods](https://agentmods.dev/badge/skills/redhat-ai-americas/memory-hub/plan-epics/github.svg)](https://agentmods.dev/skills/redhat-ai-americas/memory-hub/plan-epics)
Your own site
<a href="https://agentmods.dev/skills/redhat-ai-americas/memory-hub/plan-epics"><img src="https://agentmods.dev/badge/skills/redhat-ai-americas/memory-hub/plan-epics/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 plan-epics

Your own site · 80×15
<a href="https://agentmods.dev/skills/redhat-ai-americas/memory-hub/plan-epics"><img src="https://agentmods.dev/badge/skills/redhat-ai-americas/memory-hub/plan-epics.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 95 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,773 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 unknown No closer match found 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 $0.00095 $0.02773
Opus 5.5 $0.00038 $0.01109
Sonnet 5.5 $0.00019 $0.00555
Haiku 4.5 $0.00010 $0.00277

Measured 1mo ago against content hash 03ea23dcd0be, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

plan-epics 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.

.claude/skills/plan-epics/SKILL.md · 279 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

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 · 279 lines · 95 tokens per session scan A 03ea23dcd0be

Subscribe to this mod's changes

plan-epics is a skill published in the GitHub repository redhat-ai-americas/memory-hub (27 stars, last pushed 9d ago), with no licence file. It adds 95 tokens to every session and 2,773 once invoked, about $0.0004 per session on Opus 5.5. 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 2026-09-12.

Related

plan-epics compared with skills from other repositories

plan-epics next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
plan-epicsredhat-ai-americas/memory-hubSkill279d agononeA95Claude Code
imagegenopenai/codexSkill133kyesterdayApache-2.0A113Codex
playwright-climicrosoft/playwrightSkill99kyesterdayApache-2.0A19Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginnersSkill79k4d agoMITA200Claude Code, Codex
systematic-debuggingobra/superpowersSkill313k3d agoMITA21Claude Code
next-cache-components-adoptionvercel/next.jsSkill143kyesterdayMITA95Claude Code
next-partial-prefetching-adoptionvercel/next.jsSkill143kyesterdayMITA103Claude Code