setup-rootloom

A setup tool for Rootloom Personal Core in a user's Codex home. Rootloom provides optional global guidance, project-context help, and autonomy settings for coding-agent work.

In plain words
What is it for?
Use it when you explicitly want to install, inspect, configure, update, repair, audit, or roll back Rootloom, with options ranging from skills only to a personal preset.
Why use it?
It removes the need to plan and apply Rootloom's setup files and settings by hand. It also supports checking, updating, repairing, reducing, or rolling back an existing setup.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/qingye-lab/rootloom/setup-rootloom
Any agent
npx skills add qingye-lab/rootloom --skill setup-rootloom
Clone the repo
git clone --depth 1 https://github.com/qingye-lab/rootloom

Made for: Claude Code, Codex.

Per session 87 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,257 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00087 $0.01257
Opus 5 $0.00044 $0.00629
Sonnet 5 $0.00017 $0.00251
Haiku 4.5 $0.00009 $0.00126

Measured 2d ago against content hash 9c2d1119758f, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

setup-rootloom 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 2d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/setup_rootloom.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/rootloom/skills/setup-rootloom/SKILL.md · 94 lines

How it starts

The opening of the file, as written. The whole thing — 94 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Set up Rootloom Personal Core

Resolve this Skill directory and use its deterministic setup script.

Choose a preset

python3 <skill-dir>/scripts/setup_rootloom.py list-components
Preset Result
skills-only Plugin Skills only; the project-guidance Hook is disabled
guidance Global working agreement plus read-only project-context Hook
personal Guidance plus optional Autonomy; recommended and default

Exact capabilities are global-policy, project-context, and autonomy. autonomy always includes global-policy because the Rules intentionally defer authorization mode and scope to that guidance. Legacy engineering and command-safety inputs remain compatibility aliases but are not recommended names.

Optional global layer

codex plugin add rootloom@rootloom completes the plugin installation. It exposes Rootloom Skills without writing global guidance, command Rules, setup state, or review gates. Stop there for the lowest-cost experience.

Only when the user explicitly wants cross-project guidance, the project-guidance Hook, or command Rules, inspect and install an optional preset:

python3 <skill-dir>/scripts/setup_rootloom.py plan --preset personal
python3 <skill-dir>/scripts/setup_rootloom.py install --preset personal
python3 <skill-dir>/scripts/setup_rootloom.py status

apply remains a compatibility/expert command. Prefer install for the first setup and upgrade after the Codex plugin snapshot has been refreshed.

The personal preset manages only:

  • ~/.codex/AGENTS.md;
  • ~/.codex/rules/rootloom.rules;
  • ~/.codex/.rootloom/components.json;
  • ~/.codex/.rootloom/state.json, a pending transaction journal, and a simple backup manifest.

Setup is serialized by an ordinary local lock, refuses symlinked or user-owned targets, stages the complete target set before publishing a transaction journal, resumes interrupted staged work before the next mutating setup or rollback operation, writes each file atomically, and preserves original content and mode for rollback. Recovery refuses a target changed after interruption and does not claim hostile shared-filesystem locking.

Read the full file on GitHub · 94 lines

Files

What ships with it

3 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. 2d ago First seen · 94 lines · 87 tokens per session scan A 9c2d1119758f

Subscribe to this mod's changes

setup-rootloom is a skill published in the GitHub repository qingye-lab/rootloom (7 stars, last pushed 20d ago), licensed MIT. It adds 87 tokens to every session and 1,257 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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