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os-control-init

os-control-init is a skill for Claude Code from richfrem/agent-plugins-skills. It costs 95 tokens per session (700 once invoked), scanned A, original, MIT.

A setup and upgrade guide for an agent-ready repository. It checks whether the project already has the required instructions and persistent memory structure before creating or changing them.

In plain words
What is it for?
Use it to set up or retrofit a project for AI agents, organize repository instructions, and add the described memory and control-plane structure.
Why use it?
It avoids overwriting existing project rules and helps prevent partially configured agent environments. It also keeps one canonical instruction file instead of conflicting copies.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: mentions CLAUDE.md; mentions AGENTS.md.

Part of the agent-agentic-os plugin — 14 skills, 2 agents, 3 hooks shipped together

not rated 7repo 2d ago A scan 95 tokens original MIT

Good fit Use it to set up or retrofit a project for AI agents, organize repository instructions, and add the described memory and control-plane structure.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/richfrem/agent-plugins-skills/os-control-init
View source ↗ richfrem/agent-plugins-skills
Install

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.

Any agent
npx skills add richfrem/agent-plugins-skills --skill os-control-init
Clone the repo
git clone --depth 1 https://github.com/richfrem/agent-plugins-skills

Made for: Claude Code.

Or install agent-agentic-os, the plugin that ships this one along with the rest of its 14 skills, 2 agents, 3 hooks.

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 os-control-init

README.md
[![agentmods](https://agentmods.dev/badge/skills/richfrem/agent-plugins-skills/os-control-init/github.svg)](https://agentmods.dev/skills/richfrem/agent-plugins-skills/os-control-init)
Your own site
<a href="https://agentmods.dev/skills/richfrem/agent-plugins-skills/os-control-init"><img src="https://agentmods.dev/badge/skills/richfrem/agent-plugins-skills/os-control-init/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 os-control-init

Your own site · 80×15
<a href="https://agentmods.dev/skills/richfrem/agent-plugins-skills/os-control-init"><img src="https://agentmods.dev/badge/skills/richfrem/agent-plugins-skills/os-control-init.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 700 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 original 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 $0.00700
Opus 5.5 $0.00038 $0.00280
Sonnet 5.5 $0.00019 $0.00140
Haiku 4.5 $0.00010 $0.00070

Measured yesterday against content hash 41b987a6fd00, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

os-control-init 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 yesterday.

The scan reads SKILL.md. This mod also ships 30 executable files (scripts/agent_control.py, scripts/control_plane_hooks.py, scripts/control_plane/__init__.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

plugins/agent-agentic-os/skills/os-control-init/SKILL.md · 66 lines

How it starts

The opening of the file, as written. The whole thing — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agentic OS Init & Retrofit Guide (os-control-init)

Bootstrap or retrofit the Agentic OS and 3-Layer Memory architecture in any repository. Supports fresh setup as well as retrofitting established projects to comply with autonomous evolution standards.

Contents

Critical Constraints

  1. Read-Only Preflight: Always run probe first to classify repo state; never blindly overwrite existing instructions.
  2. Canonical Instructions: AGENTS.md is the sole canonical source; CLAUDE.md must be a short pointer.
  3. Preserve User Rules: During retrofits, preserve custom user instructions and never destroy existing configurations without confirmation.

Quick start

Probe installation state before taking action:

python3 scripts/control_plane/installation_probe.py --target <project-path>

Workflow

  1. Preflight: Run installation_probe.py to classify target as FRESH, COMPLETE, or PARTIAL_OR_DRIFTED.
  2. Discovery: Interview stack, AI platforms, and package manager.
  3. Synthesize Instructions: Keep AGENTS.md canonical per instruction-blending.md.
  4. Execute Provisioning:
    • Fresh: python3 scripts/init_agentic_os.py --target <project-path> --sync-instructions
    • Retrofit: python3 scripts/init_agentic_os.py --target <project-path> --retrofit
  5. Agent Simulation Identity: Ensure agent simulation identity (context/simulation/identity/) is initialized so os-control-simulator can run state validations without human production keys: 
    python3 -c "from pathlib import Path; from control_plane.simulation_identity import ensure_simulation_identity; ensure_simulation_identity(Path('.'))"
  6. Verify Substrate: Confirm 3-Layer Memory structure, identity status, and run health check.

Read the full file on GitHub · 66 lines

Files

What ships with it

60 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.

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. yesterday First seen · 66 lines · 95 tokens per session scan A 41b987a6fd00

Subscribe to this mod's changes

os-control-init is a skill published in the GitHub repository richfrem/agent-plugins-skills (7 stars, last pushed 2d ago), licensed MIT. It adds 95 tokens to every session and 700 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 2026-10-16.

Building agentsMemory and contextagent-evaluationagent-orchestrationagentic-control-planeagentic-osagentic-workflowsai-agent-governance
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