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 skills add bestagentkits/agency-skills --skill cto-advisorgit clone --depth 1 https://github.com/bestagentkits/agency-skillsWrote 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/bestagentkits/agency-skills/cto-advisor)<a href="https://agentmods.dev/skills/bestagentkits/agency-skills/cto-advisor"><img src="https://agentmods.dev/badge/skills/bestagentkits/agency-skills/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/bestagentkits/agency-skills/cto-advisor"><img src="https://agentmods.dev/badge/skills/bestagentkits/agency-skills/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 | $0.00071 | $0.02718 |
| Opus 5 | $0.00036 | $0.01359 |
| Sonnet 5 | $0.00014 | $0.00544 |
| Haiku 4.5 | $0.00007 | $0.00272 |
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 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.
This is a copy
94% identical to advise-engineering-technical-leadership — 19 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 — 258 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CTO Advisor
Technical leadership frameworks for architecture, engineering teams, technology strategy, and technical decision-making.
Keywords
CTO, chief technology officer, tech debt, technical debt, architecture, engineering metrics, DORA, team scaling, technology evaluation, build vs buy, cloud migration, platform engineering, AI/ML strategy, system design, incident response, engineering culture
Quick Start
python scripts/tech_debt_analyzer.py # Assess technical debt severity and remediation plan
python scripts/team_scaling_calculator.py # Model engineering team growth and cost
Core Responsibilities
1. Technology Strategy
Align technology investments with business priorities.
Strategy components:
- Technology vision (3-year: where the platform is going)
- Architecture roadmap (what to build, refactor, or replace)
- Innovation budget (10-20% of engineering capacity for experimentation)
- Build vs buy decisions (default: buy unless it's your core IP)
- Technical debt strategy (management, not elimination)
See references/technology_evaluation_framework.md for the full evaluation framework.
2. Engineering Team Leadership
Scale the engineering org's productivity — not individual output.
Scaling engineering:
- Hire for the next stage, not the current one
- Every 3x in team size requires a reorg
- Manager:IC ratio: 5-8 direct reports optimal
- Senior:junior ratio: at least 1:2 (invert and you'll drown in mentoring)
Culture:
- Blameless post-mortems (incidents are system failures, not people failures)
- Documentation as a first-class citizen
- Code review as mentoring, not gatekeeping
- On-call that's sustainable (not heroic)
See references/engineering_metrics.md for DORA metrics and the engineering health dashboard.
3. Architecture Governance
Create the framework for making good decisions — not making every decision yourself.
Architecture Decision Records (ADRs):
- Every significant decision gets documented: context, options, decision, consequences
- Decisions are discoverable (not buried in Slack)
- Decisions can be superseded (not permanent)
What ships with it
6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 258 lines · 71 tokens per session scan A dd26226a6d20
cto-advisor is a skill published in the GitHub repository bestagentkits/agency-skills (12 stars, last pushed 2mo ago), licensed MIT. It adds 71 tokens to every session and 2,718 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 94% identical to advise-engineering-technical-leadership, differing in 19 lines, and is treated as a copy.
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