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.
npx agentmods add skills/logly/mureo/_mureo-strategynpx skills add logly/mureo --skill _mureo-strategygit clone --depth 1 https://github.com/logly/mureoWrote 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/logly/mureo/_mureo-strategy)<a href="https://agentmods.dev/skills/logly/mureo/_mureo-strategy"><img src="https://agentmods.dev/badge/skills/logly/mureo/_mureo-strategy.svg" alt="Measured on agentmods" 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 | $0.00028 | $0.12135 |
| Opus 5 | $0.00014 | $0.06067 |
| Sonnet 5 | $0.00006 | $0.02427 |
| Haiku 4.5 | $0.00003 | $0.01213 |
Grade A, and why
_mureo-strategy 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 yesterday.
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 — 954 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Strategy Context
PREREQUISITE: Read
../_mureo-shared/SKILL.mdfor auth, global flags, and security rules.
Overview
mureo uses two local context files to maintain business strategy and campaign state:
| File | Format | Purpose |
|---|---|---|
STRATEGY.md |
Markdown | Business strategy, personas, USP, brand voice |
STATE.json |
JSON | Campaign configuration snapshots |
These files live in the project working directory and are read by AI agents to make strategy-aligned advertising decisions.
STRATEGY.md
File Structure
STRATEGY.md is a Markdown file with ## Section headings. Each section maps to a context_type:
| Section Heading | context_type | Purpose |
|---|---|---|
## Persona |
persona |
Target customer persona |
## USP |
usp |
Unique selling proposition |
## Target Audience |
target_audience |
Audience demographics and behavior |
## Brand Voice |
brand_voice |
Tone, style, and language guidelines |
## Market Context |
market_context |
Competitive landscape and market trends |
## Operation Mode |
operation_mode |
Current operation mode (see below) |
## Custom: <title> |
custom |
Freeform custom strategy entry |
## Deep Research: <title> |
deep_research |
Results from website/competitor research |
## Sales Material: <title> |
sales_material |
Extracted info from sales documents |
## Goal: <title> |
goal |
Quantitative marketing goal with target, deadline, and priority |
Example STRATEGY.md
# Strategy
## Persona
**Name:** Tanaka-san (Marketing Manager)
**Age:** 35-45
**Role:** In-house marketing at mid-size SaaS company
**Goals:** Improve lead quality, reduce CPA below 8,000 yen
**Pain Points:** Limited budget, too many low-quality leads from broad targeting
**Decision Process:** Data-driven, needs ROI justification for budget increases
## USP
- Only platform that automates both Google Ads and Meta Ads from Slack
- AI agent handles routine optimization, freeing up 10+ hours/week
- Built-in budget safety guards prevent overspend
## Target Audience
**Primary:** SaaS marketing managers at companies with 50-500 employees
**Secondary:** Digital agency account managers handling 5+ client accounts
**Geo:** Japan (primary), US/EU (secondary)
**Budget Range:** 500,000 - 5,000,000 JPY/month ad spend
## Brand Voice
- Professional but approachable
- Data-backed claims, no hype
- Use concrete numbers over vague superlatives
- Japanese: polite form (desu/masu), avoid overly casual language
## Market Context
- Competitor A focuses on Google Ads only (no Meta Ads integration)
- Competitor B has Meta Ads but no Slack integration
- Market trend: increasing demand for AI-powered ad optimization
- Budget pressure: clients seeking efficiency gains, not just scale
## Operation Mode
EFFICIENCY_STABILIZE
## Custom: Seasonal Strategy
- Q1 (Jan-Mar): Budget conservative, focus on efficiency
- Q2 (Apr-Jun): Ramp up for spring campaigns
- Q3 (Jul-Sep): Peak season, maximize budget utilization
- Q4 (Oct-Dec): Holiday campaigns, shift to Meta Ads for brand awareness
## Goal: Reduce CPA below 5000 JPY
- Target: CPA < 5,000 JPY
- Deadline: 2026-06-30
- Current: CPA 6,200 JPY
- Platform: Google Ads, Meta Ads, Amazon Ads
- Priority: HIGH
## Goal: Increase monthly leads to 100
- Target: Leads >= 100/month
- Deadline: 2026-05-31
- Current: 72 leads/month
- Platform: Google Ads
- Priority: MEDIUM
## Deep Research: example.com
**Service Overview:** Cloud-based project management tool for remote teams
**Key Features:** Real-time collaboration, Gantt charts, resource allocation
**Pricing:** Freemium model, Pro plan at $15/user/month
**Competitors:** Asana, Monday.com, Notion
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.
- yesterday Changed 24fac9efbd53
- 5d ago First seen · 954 lines · 28 tokens per session scan A a4a5d0498b31
_mureo-strategy is a skill published in the GitHub repository logly/mureo (43 stars, last pushed 3d ago), licensed Apache-2.0. It adds 28 tokens to every session and 12,135 once invoked, about $0.0001 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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