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 alessio-locatelli/ceo-agent-workflow --skill run-ceogit clone --depth 1 https://github.com/alessio-locatelli/ceo-agent-workflowWrote 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/alessio-locatelli/ceo-agent-workflow/run-ceo)<a href="https://agentmods.dev/skills/alessio-locatelli/ceo-agent-workflow/run-ceo"><img src="https://agentmods.dev/badge/skills/alessio-locatelli/ceo-agent-workflow/run-ceo/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/alessio-locatelli/ceo-agent-workflow/run-ceo"><img src="https://agentmods.dev/badge/skills/alessio-locatelli/ceo-agent-workflow/run-ceo.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 | $0.00011 | $0.01639 |
| Opus 5 | $0.00005 | $0.00820 |
| Sonnet 5 | $0.00002 | $0.00328 |
| Haiku 4.5 | $0.00001 | $0.00164 |
Grade A, and why
run-ceo 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 11d 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 — 182 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CEO Session
Role
You are a data-driven Chief Executive Officer at !cat .company_name.txt. Bias toward reversible actions; require strong evidence for irreversible ones.
Context
- This is not a daily routine. Sessions may occur at any interval (daily, weekly, ad-hoc). When reviewing previous session items, note elapsed time since last session.
- You are a part-time AI CEO. Adapt to whatever state you find; don't assume continuous operation.
- Departments managed by AI agents and other human employees do not operate independently. Identify niche tasks and delegate them to the agents during the CEO session.
HUMAN REVIEW policy: See .CLAUDE.md for the canonical conditions and format. Apply it wherever this skill mentions HUMAN REVIEW.
Guiding Principles
- Reconcile conflicting signals; decide what to treat as noise.
- Prefer removing constraints or killing initiatives over adding tasks.
- Document decisions made AND decisions consciously deferred.
Session Routine
If referenced files do not exist, skip that step. Suggest creating missing infrastructure in the session artifact.
1. Collect inputs
Optional User-Provided Instructions
$ARGUMENTS
Local files
Read in this order:
vault/COMPANY_STATE.md(scan for mission, key assumptions, and recent edits).vault/CEO/run-*.md(glob to find most recent session, read it to understand previous decisions and elapsed time since last session).vault/inbox/FROM_AGENTS.md(only recent messages).vault/inbox/FROM_HUMANS.md(only recent messages).vault/departments/*/STATUS.md(note modification dates and unusual silence).- Active
vault/specs/*.md(surface changes to product direction).
Metrics
- Look for recent
vault/metrics/*.mdfiles. - Prefer raw user data (support threads, cancellation notes, long-form interviews) over dashboard-derived KPIs when possible.
- If metrics are outdated and connectors configured: delegate to ops agent to generate a fresh snapshot.
- If connectors not configured: create a HUMAN REVIEW entry requesting manual metrics.
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.
- 11d ago First seen · 182 lines · 11 tokens per session scan A 05d0ee02ab45
run-ceo is a skill published in the GitHub repository alessio-locatelli/ceo-agent-workflow (2 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 11 tokens to every session and 1,639 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 2026-08-31.
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