xllm-setup

xllm-setup is a skill for Claude Code from kimmingul/xllm. It costs 36 tokens per session (957 once invoked), scanned A, original, MIT.

A setup and health-check skill for xllm, including its project files, advisor script, artifact folders, and available model providers.

In plain words
What is it for?
Use it when installing, diagnosing, or preparing xllm for a project.
Why use it?
It checks whether xllm is configured and records the project-specific commands and paths needed to use it.

Skill for Claude Code

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

Part of the xllm plugin — 7 skills shipped together

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/kimmingul/xllm/xllm-setup
Any agent
npx skills add kimmingul/xllm --skill xllm-setup
Clone the repo
git clone --depth 1 https://github.com/kimmingul/xllm

Made for: Claude Code.

Or install xllm, the plugin that ships this one along with the rest of its 7 skills.

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 xllm-setup

README.md
[![agentmods](https://agentmods.dev/badge/skills/kimmingul/xllm/xllm-setup.svg)](https://agentmods.dev/skills/kimmingul/xllm/xllm-setup)
Your own site
<a href="https://agentmods.dev/skills/kimmingul/xllm/xllm-setup"><img src="https://agentmods.dev/badge/skills/kimmingul/xllm/xllm-setup.svg" alt="Measured on agentmods" height="20"></a>
Per session 36 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 957 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 5.1 $0.00036 $0.00957
Opus 5 $0.00018 $0.00478
Sonnet 5 $0.00007 $0.00191
Haiku 4.5 $0.00004 $0.00096

Measured 5d ago against content hash e3960fdd5a93, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

xllm-setup 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.

.grok/skills/xllm-setup/SKILL.md · 135 lines

How it starts

The opening of the file, as written. The whole thing — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/xllm-setup — Install health check

<state> = project state dir: .xllm/ (default) or legacy .grok/ when the project already uses it.

Run these steps (do not only describe them).

1. Resolve + remember advisor path

Find xllm-advisor.js via (first hit):

  • .xllm/xllm-advisor-path (legacy: .grok/xllm-advisor-path)
  • XLLM_ADVISOR_PATH / GROK_PLUGIN_ROOT / XLLM_PLUGIN_ROOT
  • ./scripts/xllm-advisor.js
  • plugin checkout path the user has open

Then run:

node <advisor.js> --remember
node <advisor.js> --which

Confirm .xllm/xllm-advisor-path (or legacy .grok/) exists and points at a real file.

2. Artifact directories

Ensure:

<state>/artifacts/ask|xllm|proposals|exec/

(--remember / --doctor also create these.)

2.5 Project advisor wizard (posture packs — optional)

Resolve pins deterministically; the skill only renders and confirms.

  1. Preview the recommended pack (default balanced):

    node <advisor.js> --setup balanced --json
    

    The resolver returns { roles, warnings, evidence, recommended_packs }. balanced leaves analysis/design OPEN (measured routing) and pins at most a free local critic — a pin FREEZES measured routing, so packs pin only genuine constraints. quality = max-spend lock, frugal = cost lock, local = offline lock, skip = clear pins.

  2. Ask ONE question, offering the first four of recommended_packs (always include skip). Show the effort legend (Quick=low / Standard=medium / Deep=high) and one-line role glosses. Never invent cloud model names — cloud pins omit the model.

  3. Show the resolved preview (roles + warnings + which stay OPEN and why), then on the user's accept:

    node <advisor.js> --setup <pack> --apply
    

    Partial tweak: --role analysis=grok@high (validated; one bad override writes nothing). Reverting: node <advisor.js> --setup skip --apply clears the posture pins. Verify with node <advisor.js> --profile-show.

Read the full file on GitHub · 135 lines

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. 5d ago First seen · 135 lines · 36 tokens per session scan A e3960fdd5a93

Subscribe to this mod's changes

xllm-setup is a skill published in the GitHub repository kimmingul/xllm (2 stars, last pushed 13d ago), licensed MIT. It adds 36 tokens to every session and 957 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.

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