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

Use it when installing, diagnosing, or preparing xllm for a project.

It checks whether xllm is configured and records the project-specific commands and paths needed to use it.

xllm-setup — Skill for Claude Code by kimmingul/xllm

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 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/kimmingul/xllm/xllm-setup/github.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/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/kimmingul/xllm/xllm-setup"><img src="https://agentmods.dev/badge/skills/kimmingul/xllm/xllm-setup.svg" alt="Reviewed on agentmods" width="80" 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 1,039 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.

Model	Per session	Once invoked
Fable 5.1	$0.00036	$0.01039
Opus 5.5	$0.00014	$0.00416
Sonnet 5.5	$0.00007	$0.00208
Haiku 4.5	$0.00004	$0.00104

Measured 8d ago against content hash 6b63bdf0e8ac, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, 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 8d 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 · 138 lines

How it starts

The opening of the file, as written. The whole thing — 138 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.

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.
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.
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 · 138 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.

8d ago Changed · +3 lines 6b63bdf0e8ac
1mo 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 9d ago), licensed MIT. It adds 36 tokens to every session and 1,039 once invoked, about $0.0001 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 2026-08-31.

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