Borrowing it
Nothing to install: this file belongs to P1-103n1x/bab-ilu. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/P1-103n1x/bab-ilu/v2.2-oss-public/.claude/skills/setup/SKILL.mdgit clone --depth 1 https://github.com/P1-103n1x/bab-iluWrote 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/p1-103n1x/bab-ilu/setup)<a href="https://agentmods.dev/skills/p1-103n1x/bab-ilu/setup"><img src="https://agentmods.dev/badge/skills/p1-103n1x/bab-ilu/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.
<a href="https://agentmods.dev/skills/p1-103n1x/bab-ilu/setup"><img src="https://agentmods.dev/badge/skills/p1-103n1x/bab-ilu/setup.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00042 | $0.01282 |
| Opus 5 | $0.00021 | $0.00641 |
| Sonnet 5 | $0.00008 | $0.00256 |
| Haiku 4.5 | $0.00004 | $0.00128 |
Grade A, and why
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 9d 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 — 168 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/setup
Bab-ilu's configuration surface is intentionally tiny: Claude Code handles its own auth via
claude login, and one optional MCP second-opinion LLM can be wired up if you want cross-model review. That's it./setupwalks you through the Review LLM.Safe to re-run at any time — only updates keys you choose to configure.
Inputs
- No arguments required.
- Reads:
.env(current state),config/setup-guide.md(reference).
Outputs
- Updated
.envwith any newly configuredLLM_*keys. - A summary of current configuration status.
Wiki Interaction
- None.
/setupruns before any vault exists and never writes towiki/.
Workflow
Step 1: Read configuration reference
Read config/setup-guide.md for the complete description of the Review
LLM setup, provider table, and verification script.
Step 2: Detect current state
python3 -c "
import sys, os
sys.path.insert(0, 'tools')
try:
import _env # loads .env into os.environ
except Exception:
pass
keys = {
'LLM_API_KEY': 'Review LLM (API key)',
'LLM_BASE_URL': 'Review LLM (base URL)',
'LLM_MODEL': 'Review LLM (model)',
}
for k, label in keys.items():
v = os.environ.get(k, '').strip()
print(f'SET:{k}' if v else f'UNSET:{k}')
"
Also detect the Python environment:
ls .venv/ 2>/dev/null && echo "venv:present" || echo "venv:absent"
python3 --version
Step 3: Show configuration status
Present a concise status summary:
Bab-ilu Configuration Status
============================
✓ Claude Code auth — managed by `claude login`
Optional:
✗ Review LLM (LLM_* ×3) — not set (cross-model MCP review unavailable)
Ask: "Configure the Review LLM now, or skip?"
Step 4: Configure Review LLM (if user opts in)
Explain: "The Review LLM powers mcp-servers/llm-review — a
second model that critiques Bab-ilu artifacts independently of
Claude. Works with any OpenAI-compatible API. Without it the MCP
server simply does not start; no Bab-ilu skill hard-depends on it."
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.
- 9d ago First seen · 168 lines · 42 tokens per session scan A 2e64a12bc81f
setup is a skill published in the GitHub repository P1-103n1x/bab-ilu (11 stars, last pushed 4mo ago), licensed MIT. It adds 42 tokens to every session and 1,282 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 2026-08-30.
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