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 c-level-agentsgit 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/c-level-agents)<a href="https://agentmods.dev/skills/bestagentkits/agency-skills/c-level-agents"><img src="https://agentmods.dev/badge/skills/bestagentkits/agency-skills/c-level-agents/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/c-level-agents"><img src="https://agentmods.dev/badge/skills/bestagentkits/agency-skills/c-level-agents.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 | $0.00109 | $0.01381 |
| Opus 5 | $0.00055 | $0.00691 |
| Sonnet 5 | $0.00022 | $0.00276 |
| Haiku 4.5 | $0.00011 | $0.00138 |
Grade A, and why
c-level-agents 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 — 120 lines — stays where its author put it; the contents beside it link to each section on GitHub.
c-level-agents — Founder-Mode Executive Team
A virtual C-suite delivered through slash commands and persona agents.
Keywords
founder mode, virtual c-suite, executive team, boardroom, office hours, cfo review, cmo review, strategic sprint, decision logging, cross-model consensus, persona agents, chief of staff, forcing questions
What This Plugin Provides
13 cs-* Agents (in agents/)
Each agent wraps an existing c-level skill and adds:
- A distinct cognitive voice (numerate skeptic, narrative-first, etc.)
- Forcing questions specific to the role
- Workflow orchestration tied to skill Python tools
- Output template: Bottom Line → What → Why → How to Act → Your Decision
See ../../references/persona-voices.md for voice specs.
21 /cs:* Slash Commands (in skills/)
Forcing-question office hours (12):
/cs:office-hours— YC-style 6-question intake/cs:cfo-review— unit economics, runway, dilution/cs:cmo-review— ICP, CAC payback, positioning/cs:cpo-review— RICE, JTBD, North Star, PMF/cs:cro-review— pipeline coverage, win rate, NRR/cs:cto-review— architecture risk, scaling cliff/cs:ciso-review— threat model, blast radius, compliance/cs:gc-review— contracts, IP, regulatory, term sheets/cs:cdo-review— training-data rights, data products, data assets/cs:caio-review— model selection, evals, AI risk, AI costs/cs:cco-review— GRR/NRR decomposition, churn root cause, CS coverage/cs:vpe-review— DORA metrics, cycle time, eng hiring funnel, team structure
Strategic sprint pipeline (5):
/cs:brief→/cs:boardroom→/cs:decide→/cs:execute→/cs:post-mortem
Meta + safety (4):
/cs:founder-mode— auto-routes to the right C-role/cs:onboard— founder interview →company-context.md/cs:cross-eval— multi-model consensus/cs:freeze— cooldown lock on a decision
Quick Start
/cs:onboard # populate company context first
/cs:office-hours "should we hire a VP Sales?"
/cs:founder-mode "runway pressure" # auto-routes to CFO
/cs:boardroom briefs/pricing-v3.md # full panel
What ships with it
1 file 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 · 120 lines · 109 tokens per session scan A 8f4966c46c67
c-level-agents is a skill published in the GitHub repository bestagentkits/agency-skills (11 stars, last pushed 2mo ago), licensed MIT. It adds 109 tokens to every session and 1,381 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 2026-09-03.
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