Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/eddiebelaval/squirenpx agentmods add skills/eddiebelaval/squire/cto-advisorWrote 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/eddiebelaval/squire/cto-advisor)<a href="https://agentmods.dev/skills/eddiebelaval/squire/cto-advisor"><img src="https://agentmods.dev/badge/skills/eddiebelaval/squire/cto-advisor/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/eddiebelaval/squire/cto-advisor"><img src="https://agentmods.dev/badge/skills/eddiebelaval/squire/cto-advisor.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 | $0.00092 | $0.02287 |
| Opus 5 | $0.00046 | $0.01144 |
| Sonnet 5 | $0.00018 | $0.00457 |
| Haiku 4.5 | $0.00009 | $0.00229 |
Grade A, and why
cto-advisor 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 6d 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.
This is a copy
97% identical to cto-advisor — 22 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 434 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CTO Advisor
Core Workflows
Workflow 1: Primary Action
- Analyze the input and context
- Validate prerequisites are met
- Execute the core operation
- Verify the output meets expectations
- Report results
Strategic frameworks and tools for technology leadership, team scaling, and engineering excellence.
Keywords
CTO, chief technology officer, technical leadership, tech debt, technical debt, engineering team, team scaling, architecture decisions, technology evaluation, engineering metrics, DORA metrics, ADR, architecture decision records, technology strategy, engineering leadership, engineering organization, team structure, hiring plan, technical strategy, vendor evaluation, technology selection
Quick Start
For Technical Debt Assessment
python scripts/tech_debt_analyzer.py
Analyzes system architecture and provides prioritized debt reduction plan.
For Team Scaling Planning
python scripts/team_scaling_calculator.py
Calculates optimal hiring plan and team structure for growth.
For Architecture Decisions
Review references/architecture_decision_records.md for ADR templates and examples.
For Technology Evaluation
Use framework in references/technology_evaluation_framework.md for vendor selection.
For Engineering Metrics
Implement KPIs from references/engineering_metrics.md for team performance tracking.
Core Responsibilities
1. Technology Strategy
Vision & Roadmap
- Define 3-5 year technology vision
- Create quarterly roadmaps
- Align with business strategy
- Communicate to stakeholders
Innovation Management
- Allocate 20% time for innovation
- Run hackathons quarterly
- Evaluate emerging technologies
- Build proof of concepts
Technical Debt Strategy
# Assess current debt
python scripts/tech_debt_analyzer.py
# Allocate capacity
- Critical debt: 40% capacity
- High debt: 25% capacity
- Medium debt: 15% capacity
- Low debt: Ongoing maintenance
2. Team Leadership
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.
- 6d ago First seen · 434 lines · 92 tokens per session scan A d8819481139f
cto-advisor is a skill published in the GitHub repository eddiebelaval/squire (21 stars, last pushed 25d ago), licensed MIT. It adds 92 tokens to every session and 2,287 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 97% identical to cto-advisor, differing in 22 lines, and is treated as a copy.
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