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/richfrem/agent-plugins-skills/os-guidenpx skills add richfrem/agent-plugins-skills --skill os-guidegit clone --depth 1 https://github.com/richfrem/agent-plugins-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/richfrem/agent-plugins-skills/os-guide)<a href="https://agentmods.dev/skills/richfrem/agent-plugins-skills/os-guide"><img src="https://agentmods.dev/badge/skills/richfrem/agent-plugins-skills/os-guide.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 | $0.00088 | $0.02310 |
| Opus 5 | $0.00044 | $0.01155 |
| Sonnet 5 | $0.00018 | $0.00462 |
| Haiku 4.5 | $0.00009 | $0.00231 |
Grade A, and why
os-guide 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 5d 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 — 199 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Dependencies
This skill requires Python 3.8+ and standard library only. No external packages needed.
To install this skill's dependencies:
pip-compile ./requirements.in
pip install -r ./requirements.txt
See ../../requirements.txt for the dependency lockfile (currently empty — standard library only).
Agentic OS Guide
The core insight: LLMs are stateless functions. CLAUDE.md is the only file loaded by
default into every conversation. The Agentic OS pattern turns this constraint into a
full operating system metaphor.
| OS Concept | Agent Equivalent |
|---|---|
| Kernel | CLAUDE.md hierarchy (global -> org -> project -> local) |
| RAM | context/ folder (soul, user prefs, memory) |
| Disk | context/memory/YYYY-MM-DD.md dated session logs |
| Stdlib | skills/ procedural knowledge bundles |
| Processes | .claude/agents/ sub-agents with isolated context |
| Shell | .claude/commands/ slash commands |
| Cron | /loop + heartbeat.md scheduled background tasks |
| Boot | START_HERE.md + MEMORY.md bootstrap on session start |
| Autoresearch Loop | os-eval-runner + improvement-ledger.md |
Skill Categories (Mental Model)
| Category | Skill | One-liner |
|---|---|---|
| Orchestration | os-improvement-loop |
Multi-agent concurrent loop: ORCHESTRATOR + PEER + INNER |
| Evaluation | os-eval-runner |
Autoresearch eval engine — scores and gates SKILL.md iterations |
| Evaluation | os-eval-lab-setup |
Bootstraps isolated lab repos for eval runs |
| Evaluation | os-eval-backport |
Reviews lab results, applies approved changes to master |
| Mutation | os-improvement-loop |
RED-GREEN-REFACTOR routing accuracy improvement |
| Memory | os-memory-manager |
Session log writing, L2→L3 promotion, deduplication |
| Reporting | os-improvement-report |
Progress charts from results.tsv + improvement ledger |
| Bootstrap | os-init |
Deploys kernel.py, agents.json, Triple-Loop files to new project |
| Utility | os-clean-locks |
Clears stale .locks/ directories after agent crash |
What ships with it
23 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.
- acceptance-criteria.md 1.5 KB
- assets/diagrams/agentic-os-guide-flow.mmd 53 B
- assets/resources/agentic-os-guide-flow.mmd 53 B
- evals/evals.json 808 B
- evals/results.tsv 60 B
- references/acceptance-criteria.md 42 B
- references/architecture.md 35 B
- references/architecture/canonical-file-structure.md 63 B
- references/architecture/claude-md-hierarchy.md 58 B
- references/architecture/context-folder-patterns.md 62 B
- references/architecture/sub-agents-and-hooks.md 59 B
- references/canonical-file-structure.md 47 B
- references/claude-md-hierarchy.md 42 B
- references/context-folder-patterns.md 46 B
- references/diagrams/agentic-os-guide-flow.mmd 57 B
- references/loop-scheduler.md 37 B
- references/memory-hygiene.md 37 B
- references/memory/memory-hygiene.md 47 B
- references/operations/loop-scheduler.md 51 B
- references/research/karpathy-autoresearch-3-file-eval.md 68 B
- references/research/optimizer-engine-patterns.md 60 B
- references/sub-agents-and-hooks.md 43 B
- requirements.txt 22 B
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.
- 5d ago First seen · 199 lines · 88 tokens per session scan A a57befbc832b
os-guide is a skill published in the GitHub repository richfrem/agent-plugins-skills (6 stars, last pushed yesterday), licensed MIT. It adds 88 tokens to every session and 2,310 once invoked, about $0.0004 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.
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