onboard

An initial setup guide for mureo, a marketing-account tool. It creates strategy and state files, imports platform data, and establishes starting measurements.

In plain words
What is it for?
Use it when starting mureo, when STRATEGY.md does not exist, or when setting up a new marketing account. It checks installation, data sources, and authentication options.
Why use it?
It gives a new mureo account a known starting state and handles the difference between imported files and live platform connections.

Skill for Claude CodeCodex

Part of the mureo plugin — 27 skills, 1 MCP server 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/logly/mureo/onboard
Any agent
npx skills add logly/mureo --skill onboard
Clone the repo
git clone --depth 1 https://github.com/logly/mureo

Made for: Claude Code, Codex.

Or install mureo, the plugin that ships this one along with the rest of its 27 skills, 1 MCP server.

Per session 99 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,627 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 $0.00099 $0.03627
Opus 5 $0.00049 $0.01813
Sonnet 5 $0.00020 $0.00725
Haiku 4.5 $0.00010 $0.00363

Measured 3d ago against content hash a4e3a6048cd7, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

onboard 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 3d 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.

mureo/_data/skills/onboard/SKILL.md · 127 lines

How it starts

The opening of the file, as written. The whole thing — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Onboard

PREREQUISITE: Read ../_mureo-shared/SKILL.md for auth, security rules, output format, and Tool Selection (Read/Write on Code, mureo_strategy_* / mureo_state_* MCP on Desktop / Cowork).

Guide me through setting up mureo for a new marketing account.

Steps

  1. Check installation: Verify mureo is installed by running mureo --help. If not found, guide the user to run pip install mureo.

  2. Check data mode (BYOD first, then auth):

    Always run mureo byod status first. If any platform shows BYOD (N rows, ...), that platform is in BYOD mode — do NOT prompt the user to run mureo auth setup for it, do NOT call mureo auth status to "verify" it (that command reads credentials.json directly and ignores BYOD), and do NOT report it as "未認証". For BYOD platforms, announce: "Using BYOD CSV data (N rows, )."

    For the remaining platforms (those showing not configured or real API), then run mureo auth status to see which have OAuth credentials. If a platform is not configured for BYOD AND has no credentials, offer mureo auth setup (interactive — user runs it themselves) or offer the BYOD path: "Export a CSV from and run mureo byod import <file> instead."

    Never claim a platform is unauthenticated when mureo byod status shows it in BYOD mode. BYOD takes priority over OAuth and is sufficient on its own for analysis.

    Note: When calling MCP tools, you do NOT need to specify customer_id or account_id — they are automatically loaded from credentials.json (real API mode) or routed to the BYOD client (BYOD mode). Just omit them.

  3. Create STRATEGY.md: Ask me about my business to fill in each section:

    • Persona: Who is the target customer? (role, age, goals, pain points)
    • USP: What makes the product/service unique? (3-5 bullet points)
    • Target Audience: Demographics, geography, budget range
    • Brand Voice: Tone and style guidelines for ad copy
    • Market Context: Competitors, market trends, competitive advantages
    • Operation Mode: Choose from the imported campaigns' actual maturity, NOT from the fact that mureo was just set up:
      • Use ONBOARDING_LEARNING only for genuinely new campaigns still in their learning period — little/no accumulated conversions and started recently (roughly the last 2-4 weeks).
      • For campaigns that have already been running for a while with accumulated conversion history, pick a steady-state mode — default to EFFICIENCY_STABILIZE (mature campaigns optimizing for efficiency), or another mode the imported data clearly warrants (e.g. SCALE_EXPANSION, TURNAROUND_RESCUE).
      • Base this on real delivery data, not setup recency: use the recent conversion volume from google_ads_performance_report (LAST_30_DAYS) and the learning status from google_ads_campaigns_diagnose — i.e. the data fetched in step 7 below. If you reach this step before that data is available, fetch it now (or finalize the mode right after the step-7 diagnosis). STATE.json's campaign snapshots do not carry age / conversion counts, so do not rely on them for this. If still unsure, ask me. Picking ONBOARDING_LEARNING for a long-running campaign makes the first daily-check wrongly tell me to "prioritize data accumulation" when the data is already there.

Read the full file on GitHub · 127 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. 3d ago First seen · 127 lines · 99 tokens per session scan A a4e3a6048cd7

Subscribe to this mod's changes

onboard is a skill published in the GitHub repository logly/mureo (42 stars, last pushed 3d ago), licensed Apache-2.0. It adds 99 tokens to every session and 3,627 once invoked, about $0.0005 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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