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 ClarentCinematics/Codex-Skills-for-Enterprise --skill cao-operating-pulsegit clone --depth 1 https://github.com/ClarentCinematics/Codex-Skills-for-EnterpriseWrote 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/clarentcinematics/codex-skills-for-enterprise/cao-operating-pulse)<a href="https://agentmods.dev/skills/clarentcinematics/codex-skills-for-enterprise/cao-operating-pulse"><img src="https://agentmods.dev/badge/skills/clarentcinematics/codex-skills-for-enterprise/cao-operating-pulse/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/clarentcinematics/codex-skills-for-enterprise/cao-operating-pulse"><img src="https://agentmods.dev/badge/skills/clarentcinematics/codex-skills-for-enterprise/cao-operating-pulse.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 | $0.00064 | $0.00721 |
| Opus 5 | $0.00032 | $0.00360 |
| Sonnet 5 | $0.00013 | $0.00144 |
| Haiku 4.5 | $0.00006 | $0.00072 |
Grade A, and why
cao-operating-pulse 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 — 56 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CAO Operating Pulse
Turn messy AI operating inputs into a sharp, slightly playful pulse a Chief AI Officer can actually use — board slides, portfolio calls, governance forums, and "what changed this week?" leadership syncs.
Workflow
- Identify the pulse mode: full operating pulse, board brief, portfolio review, governance scan, adoption reality check, or vendor evaluation.
- Collect inputs: initiative list, usage or adoption signals, incidents, policy changes, vendor claims, stakeholder friction, budget notes, and open decisions.
- Separate signal from theatre — what is evidenced vs. narrated, piloted vs. scaled, governed vs. shadow.
- Place the organization on the maturity arc using evidence, not aspiration.
- Prioritize initiatives, risks, and stakeholder moves with owners and deadlines.
- Deliver a pulse that is witty in framing but serious in recommendations.
Output Standard
Use this structure by default:
- AI Weather Report: one vivid metaphor for the week or quarter, plus a one-sentence sober translation.
- 30-Second Board Slide: the narrative a CAO would actually say out loud.
- Hype-o-meter:
Calm/Warm/Spicy/Unhingedwith evidence, not vibes. - Maturity Stage: stage name, what changed, and what unlocks the next stage.
- Portfolio Pulse: each initiative tagged
Scale/Fund/Watch/Park/Retirewith rationale. - Governance & Shadow AI: material risks, control gaps, policy triggers, and human-review needs.
- Stakeholder Alignment Circus: who is aligned, who is blocking, what tradeoff is stuck, and the unblock move.
- Decisions Needed: decision, deadline, options, recommended owner.
- Next Moves: 3-5 concrete actions with owners and dates.
Maturity Stages
Use these labels when evidence supports them:
| Stage | Meaning |
|---|---|
| Wild West | Ad hoc tools, uneven guardrails, hero-driven wins |
| Pilot Purgatory | Many experiments, weak production path, unclear ROI |
| Governed Velocity | Reusable patterns, controls, and measured adoption |
| Compound Edge | AI embedded in core workflows with durable advantage |
What ships with it
2 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.
- 11d ago First seen · 56 lines · 64 tokens per session scan A bc7921b44d36
cao-operating-pulse is a skill published in the GitHub repository ClarentCinematics/Codex-Skills-for-Enterprise (2 stars, last pushed 2mo ago), licensed MIT. It adds 64 tokens to every session and 721 once invoked, about $0.0003 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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adapto-scaffold
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adapto-translate
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adapto-content-upload
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adapto-microcopy
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