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 cs-onboardgit 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/cs-onboard)<a href="https://agentmods.dev/skills/bestagentkits/agency-skills/cs-onboard"><img src="https://agentmods.dev/badge/skills/bestagentkits/agency-skills/cs-onboard/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/cs-onboard"><img src="https://agentmods.dev/badge/skills/bestagentkits/agency-skills/cs-onboard.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 | $0.00085 | $0.01108 |
| Opus 5 | $0.00043 | $0.00554 |
| Sonnet 5 | $0.00017 | $0.00222 |
| Haiku 4.5 | $0.00009 | $0.00111 |
Grade A, and why
cs-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 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.
How it starts
The opening of the file, as written. The whole thing — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.
C-Suite Onboarding
Structured founder interview that builds the company context file powering every C-suite advisor. One 45-minute conversation. Persistent context across all roles.
Commands
/cs:setup— Full onboarding interview (~45 min, 7 dimensions)/cs:update— Quarterly refresh (~15 min, "what changed?")
Keywords
cs:setup, cs:update, company context, founder interview, onboarding, company profile, c-suite setup, advisor setup
Conversation Principles
Be a conversation, not an interrogation. Ask one question at a time. Follow threads. Reflect back: "So the real issue sounds like X — is that right?" Watch for what they skip — that's where the real story lives. Never read a list of questions.
Open with: "Tell me about the company in your own words — what are you building and why does it matter?"
7 Interview Dimensions
1. Company Identity
Capture: what they do, who it's for, the real founding "why," one-sentence pitch, non-negotiable values. Key probe: "What's a value you'd fire someone over violating?" Red flag: Values that sound like marketing copy.
2. Stage & Scale
Capture: headcount (FT vs contractors), revenue range, runway, stage (pre-PMF / scaling / optimizing), what broke in last 90 days. Key probe: "If you had to label your stage — still finding PMF, scaling what works, or optimizing?"
3. Founder Profile
Capture: self-identified superpower, acknowledged blind spots, archetype (product/sales/technical/operator), what actually keeps them up at night. Key probe: "What would your co-founder say you should stop doing?" Red flag: No blind spots, or weakness framed as a strength.
4. Team & Culture
Capture: team in 3 words, last real conflict and resolution, which values are real vs aspirational, strongest and weakest leader. Key probe: "Which of your stated values is most real? Which is a poster on the wall?" Red flag: "We have no conflict."
5. Market & Competition
Capture: who's winning and why (honest version), real unfair advantage, the one competitive move that could hurt them. Key probe: "What's your real unfair advantage — not the investor version?" Red flag: "We have no real competition."
What ships with it
3 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 · 109 lines · 85 tokens per session scan A 1f96f2a13ac5
cs-onboard is a skill published in the GitHub repository bestagentkits/agency-skills (12 stars, last pushed 2mo ago), licensed MIT. It adds 85 tokens to every session and 1,108 once invoked, about $0.0004 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 2026-09-03.
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