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 agentmods add skills/lenhonbp/codex-memory-intelligence/cmi-agent-operating-systemnpx skills add lenhonbp/codex-memory-intelligence --skill cmi-agent-operating-systemgit clone --depth 1 https://github.com/lenhonbp/codex-memory-intelligenceWrote 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/lenhonbp/codex-memory-intelligence/cmi-agent-operating-system)<a href="https://agentmods.dev/skills/lenhonbp/codex-memory-intelligence/cmi-agent-operating-system"><img src="https://agentmods.dev/badge/skills/lenhonbp/codex-memory-intelligence/cmi-agent-operating-system.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 | $0.00000 | $0.03909 |
| Opus 5 | $0.00000 | $0.01954 |
| Sonnet 5 | $0.00000 | $0.00782 |
| Haiku 4.5 | $0.00000 | $0.00391 |
Grade A, and why
cmi-agent-operating-system 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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
What ships with it
4 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 · 260 lines · 0 tokens per session scan A 160a865ec1d0
cmi-agent-operating-system is a skill published in the GitHub repository lenhonbp/codex-memory-intelligence (1 stars, last pushed 3d ago), with no licence file. It costs nothing until one of its globs matches a file; then it loads 3,909 tokens. 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
Sverklo Code Intelligence
Gives you deep codebase understanding — semantic search, blast-radius analysis, PR review, and health audits.
ragcode-agents
Orchestrate multi-agent workflows through RagCode. Turn a natural-language collaboration pattern (e.g. "Gemini plans, Claude breaks down, Codex implements, Claude reviews") into a validated DAG workflow spec, then run it with the RagCode agent workflow engine. Trigger when the user asks to coordinate multiple AI…
ragcode-memory
Manage shared cross-AI memories for this project through RagCode MCP tools (memorywrite, memoryquery, memorylist, memorydelete), with ragcode memory CLI fallback when MCP is unavailable. Read prior decisions, user preferences, and feedback written by other AI agents, and record new insights so they persist across…
droste-code-memory
Use when Claude needs project-aware code memory, MCP context retrieval, repository indexing, causal code search, or Droste CLI workflows. Triggers include requests to index a repo with Droste, configure droste mcp, retrieve graph-aware context, inspect caller/callee relationships, avoid blind file reads, or keep…
droste-memory
Use when the chat should save durable knowledge into Droste-Memory, retrieve spatial memory context, pan or zoom the Droste camera, reveal hidden detail layers, or synchronize with the local FastAPI visualizer.
N3MO Code Intelligence
Use N3MO's MCP tools to search symbols, find dependencies, and check blast radius. This skill enforces using MCP over CLI commands.