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.
npx skills add rootcastleco/rei-skills --skill agent-memory-systemsgit clone --depth 1 https://github.com/rootcastleco/rei-skillsWrote 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/rootcastleco/rei-skills/agent-memory-systems)<a href="https://agentmods.dev/skills/rootcastleco/rei-skills/agent-memory-systems"><img src="https://agentmods.dev/badge/skills/rootcastleco/rei-skills/agent-memory-systems/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.
<a href="https://agentmods.dev/skills/rootcastleco/rei-skills/agent-memory-systems"><img src="https://agentmods.dev/badge/skills/rootcastleco/rei-skills/agent-memory-systems.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00043 | $0.00491 |
| Opus 5 | $0.00022 | $0.00246 |
| Sonnet 5 | $0.00009 | $0.00098 |
| Haiku 4.5 | $0.00004 | $0.00049 |
Grade A, and why
agent-memory-systems 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 9d 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.
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.
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.
- 9d ago First seen · 77 lines · 43 tokens per session scan A a4f9ee14a3da
agent-memory-systems is a skill published in the GitHub repository rootcastleco/rei-skills (6 stars, last pushed yesterday), with no licence file. It adds 43 tokens to every session and 491 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 2026-08-31.
Other skills, from other repositories
catchup
Restore context after /clear by summarizing recent work and project state.
agent-memory-mcp-v2
Agent Memory Skill workflow skill. Use this skill when the user needs A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions) and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing…
context-dump
Sync 7 days of GitHub activity (commits, PRs, issues, reviews) into a structured context dump. Optionally pull from Slack, GDrive, or Asana if configured. Use at the start of a session to get fully caught up before coding.
copy-relevant-paragraph-only
How to use Context Sniping to prevent 'Lost-in-the-Middle' attention degradation, save input tokens, and get laser-accurate answers from long documents.
header-only-c-cpp-ingestion
How autonomous agents inspect .h/.hpp header files first to understand class contracts and struct layouts before reading heavy .cpp implementation files, slashing C++ context token spend by 85%.
thinkback
When the user wants to review past decisions, understand why something was built a certain way, audit decision quality, or learn from past reasoning. Use when the user says "why did we," "look back," "thinkback," "decision review," "was that the right call," "what were we thinking," "review our decisions," "decision…