Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/mishahanin/heading-osnpx agentmods add skills/mishahanin/heading-os/ceo-intelWrote 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/mishahanin/heading-os/ceo-intel)<a href="https://agentmods.dev/skills/mishahanin/heading-os/ceo-intel"><img src="https://agentmods.dev/badge/skills/mishahanin/heading-os/ceo-intel/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/mishahanin/heading-os/ceo-intel"><img src="https://agentmods.dev/badge/skills/mishahanin/heading-os/ceo-intel.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 12 Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
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 | $0.00118 | $0.02591 |
| Opus 5 | $0.00059 | $0.01295 |
| Sonnet 5 | $0.00024 | $0.00518 |
| Haiku 4.5 | $0.00012 | $0.00259 |
Grade A, and why
ceo-intel 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 5d 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 — 221 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CEO Intelligence Brief
Generate a confidential world intelligence brief for CEO eyes only. Covers geopolitics, cybersecurity, markets, and regional developments - framed through 31C's strategic lens with direct business implications and action items.
Variables
focus: [Optional - specific topic or region to emphasize, e.g., "a regional conflict", "regional defense", "regional telecom"]
Instructions
Classification: Internal - CEO Eyes Only. This document contains 31C-specific strategic analysis, business implications, and action recommendations. NEVER share externally.
Before drafting, read:
reference/misha-voice.md- Voice and tonereference/dpi-market-intelligence.md- DPI market datareference/search-domains.md- Domain filtering for researchcontext/strategy.md- Current strategic prioritiescontext/current-data.md- Current metrics and workstreamscontext/pipeline.md- Active deals and investor conversationscontext/people.md- Key contacts and relationship context
Phase 1: Research (Parallel)
Before searching, read reference/search-domains.md for domain filtering configuration.
Run these searches in parallel to gather live intelligence. Use allowed_domains from the matching topic group(s):
- Geopolitics & Security - WebSearch for major world events, conflicts, policy changes
allowed_domains: Geopolitics & Defense group
- Cybersecurity - WebSearch for cyber incidents, threat actors, vulnerabilities, breaches
allowed_domains: Cybersecurity + General Tech groups
- [Priority Region 1] - WebSearch for defense, cybersecurity, telecom developments
allowed_domains: [Priority Region 1] + Geopolitics & Defense groups
- [Priority Region 2] - WebSearch for the priority region and regional developments
allowed_domains: [Priority Region 2] + Geopolitics & Defense groups
- [Priority Region 3] - WebSearch for telecom, cybersecurity, infrastructure investment
allowed_domains: [Priority Region 3] + Telecom & DPI groups
- Markets & DPI - WebSearch for capital markets, DPI industry, telecom trends
allowed_domains: Markets & Finance + Telecom & DPI groups
- Perplexity Deep Research - Run with domain filtering:
python scripts/perplexity-research.py --domains "reuters.com,bbc.com,ft.com,bleepingcomputer.com,lightreading.com,darkreading.com,therecord.media" "current world events [focus area] cybersecurity telecom defense markets [current month] [current year]"
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.
- 5d ago Changed · +4 lines bc5829f66997
- 9d ago First seen · 217 lines · 118 tokens per session scan A ea2a08fece4e
ceo-intel is a skill published in the GitHub repository mishahanin/heading-os (11 stars, last pushed today), licensed Apache-2.0. It adds 118 tokens to every session and 2,591 once invoked, about $0.0006 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 2026-08-30.
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