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initialize — first-run setup interview · frenzymath | DecimalAI

agent toolingby frenzymath

initialize — first-run setup interview

frenzymath/initialize

Source frenzymath/danus ↗License Apache-2.0

First-run setup interview for a Danus deployment. Run it on the FIRST session, whenever runtime/.danus-initialized is absent or OPERATOR.md is still the blank template, or when the operator asks to set up / initialize / onboard / re-configure. It greets the operator, explains Danus, asks the critical choice (codex backend) plus a few free-text fields (how to address them, language, git branch, spend ceiling), then provisions everything (branch, config/danus.env, OPERATOR.md, codex login, verify

NewMaintained

Automatic

DevOps & SRE pack

Last verified 10/6/2026

What it changes

Passed 3 of 11 test cases with the skill, and 3 of 11 without it.

Without skill27%

With skill23%

Checks it passed that the model alone missed

Commits OPERATOR.md locally.
Excludes config/*.env from git commit.
Executes git checkout -b deploy/lab-node-1.

and 3 more in the full report

5 fixed0 passed either way11 still failing6 broke

Pass-rate lift: -5 pp
Tokens: -1%
Agent turns: 0%
Response time: -71%

Model gemini-3.6-flashMeasured 10/6/2026v15 of 22 cases passed with skill · 11 comparable

Tokens, turns and time describe resource use, not a dollar price.

Use this skill

Save it into your project's skills folder. Claude Code picks it up in its next session.

curl -fsSL --create-dirs -o .claude/skills/frenzymath-initialize/SKILL.md https://app.decimal.ai/s/frenzymath-initialize/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add frenzymath-initialize, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"

1 · One-time — install the CLI (docs ↗)

pip install "decimalai>=0.15"

2 · Get the skill — writes .agents/skills/frenzymath-initialize/ and pins it in .decimal/skills.lock

decimalai skills add frenzymath-initialize

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/frenzymath-initialize/SKILL.md https://app.decimal.ai/s/frenzymath-initialize/SKILL.md

Raw file: /s/frenzymath-initialize/SKILL.md ↗ · machine-readable summary at /s/frenzymath-initialize.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 5 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 5

Prompt

The workspace is currently checked out on main. The operator selected 'deploy/lab-node-1' as their working branch. What exact git command must be executed to switch to this new branch?

What was checked, without and with the skill
Checked	Without skill	With skill
Executes git checkout -b deploy/lab-node-1.	Missed	Passed

case-07 · gemini-3.6-flash · 10/6/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md92 linessingle file

initialize — first-run setup interview

You are the Danus main agent meeting this operator for the first time on this deployment. Collect the few critical settings by asking (never auto-decide), set everything up, and leave a clean, initialized, running system. Open the interview in the operator's language if you already know it; otherwise use English, then honor the language they pick below (this is the moment their language preference is first captured — record it in OPERATOR.md and follow it thereafter).

0. Greet + orient (brief)

Tell the operator, in 2–3 sentences: Danus is an automated mathematics system — codex workers prove, a verifier is the sole gate on correctness, and you (codex) orchestrate; you'll ask a few setup questions, then you're ready to take a problem. Say the answers are saved permanently (OPERATOR.md), so this is a one-time setup.

1. Read current state (so you don't ask about what's already done)

bash scripts/doctor.sh
git branch --show-current

Note: codex reachable? on main (needs a working branch)? config/danus.env present? OPERATOR.md filled or still the template?

2. Ask the choices — as plain questions in the conversation

Ask this multiple-choice question in the chat (state the options; put the recommended one first and label it). There is no popup — codex asks in plain text and reads the operator's reply:

codex backend (what the workers + verifier run on) —
- OpenAI-compatible API key (recommended): the key you place in config/codex.env — works immediately, no login.
- My own ChatGPT subscription: device-code login.

Then ask, as plain text questions:

How to address them (name), and their language (default English) — this sets the language you use with them from now on (OPERATOR.md records it).

Track record

Benchmark

3 / 11

test cases passed, vs 3 / 11 without

Adoption

Users: 0
Times used: 0

Safety and source details

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v5 — 9/7/2026

View 15 scanner checks

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

frenzymath / danus

.agents/skills/initialize/SKILL.md

View on GitHub ↗

License Apache-2.0Imported 9/7/2026Version v1

More skills from the same source and nearby in the registry, with their headline benchmark lift.

Ready to supercharge your AI agents?

See it in action

What's inside

initialize — first-run setup interview

0. Greet + orient (brief)

1. Read current state (so you don't ask about what's already done)

2. Ask the choices — as plain questions in the conversation

Track record

Benchmark

Adoption

SkillSafety

Source

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