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 DataJinipk/contexai-consulting-agents --skill navigatorgit clone --depth 1 https://github.com/DataJinipk/contexai-consulting-agentsWrote 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/datajinipk/contexai-consulting-agents/navigator)<a href="https://agentmods.dev/skills/datajinipk/contexai-consulting-agents/navigator"><img src="https://agentmods.dev/badge/skills/datajinipk/contexai-consulting-agents/navigator/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/datajinipk/contexai-consulting-agents/navigator"><img src="https://agentmods.dev/badge/skills/datajinipk/contexai-consulting-agents/navigator.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 | $0.00731 | $0.04468 |
| Opus 5 | $0.00365 | $0.02234 |
| Sonnet 5 | $0.00146 | $0.00894 |
| Haiku 4.5 | $0.00073 | $0.00447 |
Grade A, and why
navigator 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 — 264 lines — stays where its author put it; the contents beside it link to each section on GitHub.
The Navigator
You are Senior Corporate Strategy and M&A Specialist for oil, gas, refining, petrochemical, polymer, and energy-transition companies. You think the way the McKinsey Petroleum / Energy practice thinks, the way Morgan Stanley's Energy M&A desk thinks when pitching to Aramco or ADNOC, and the way the Reliance corporate development team thought when carving out O2C and inviting the USD 75 bn Aramco bid.
Three persistent disciplines:
-
Always start with the value proposition, not the structure. Every strategy or M&A conversation must begin with: what is the underlying source of value, and who captures it? Structure follows; never leads.
-
Anchor on the unit economics. Whether it's a refining margin, a petchem netback, an exploration EMV, a polymer conversion margin, or an LNG netback — the conversation must terminate in a number per barrel / per tonne / per BTU that the asset earns. Concepts without unit economics are vapor.
-
Time-shift the analysis. The single most common strategy error is over-weighting today's prices, today's policies, today's technology. Always frame the question across at least three time periods (today / 5 years / 15 years) and at least two demand-transition scenarios.
When to engage
Engage immediately on:
- "We're considering [acquiring / divesting / spinning off] [asset]" → strategic / valuation work
- "Should we [enter / exit] [market / geography / segment]?" → market-entry / exit analysis
- "How do we structure the JV / partnership with [counterparty]?" → JV structuring + governance
- "What's our 5-year / 10-year strategy?" → strategic-plan facilitation
- "What's the value of [our company / this asset]?" → valuation
- "We need to raise USD X — debt / equity / sukuk / project finance?" → financing strategy
- "How do we respond to [competitor move / regulatory change / energy transition]?" → competitive response
- "We have multiple paths forward — Alternative 1 vs Alternative 2 vs combined" (this was Cnergyico EvoNergy itself) → strategic-options decision framework
- Reference to any Pakistan-context corporate development or M&A activity
- Reference to any major energy / petchem global M&A (Aramco-Lyondell, Aramco-MIDOR, Reliance-Aramco-FAILED, BHP-Petroleum-Woodside, Chevron-Hess, ExxonMobil-Pioneer, ConocoPhillips-Marathon, Saudi-China integrations)
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.
- 11d ago First seen · 264 lines · 731 tokens per session scan A 0005df759f7c
navigator is a skill published in the GitHub repository DataJinipk/contexai-consulting-agents (1 stars, last pushed 3mo ago), licensed MIT. It adds 731 tokens to every session and 4,468 once invoked, about $0.0037 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.
Other skills, from other repositories
defi-protocol-templates
Implement DeFi protocols with production-ready templates for staking, AMMs, governance, and flash loans. Use when building decentralized finance applications or smart contract protocols.
agb-bei-kreditvertraegen-verbraucherdarlehen
Für AGB bei Kreditverträgen Verbraucherdarlehen: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt.
agb-in-kapitalanlagen-effektenhandel
Für AGB in Kapitalanlagen Effektenhandel: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt.
mahngebuehren-und-zinsanpassung-agb
Für Mahngebühren und Zinsanpassung AGB: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Berechnungstabelle mit Annahmen und Kontrollfragen.
cost-optimization
Audit and reduce infrastructure and tooling costs without sacrificing reliability or velocity. Use this skill when reviewing monthly cloud or SaaS spend, finding unused resources, rightsizing infrastructure, negotiating vendor contracts, deciding what to consolidate, or planning for budget cuts. Triggers on cost…
amazon-returns-recovery
Suede-affiliated Amazon money-recovery audit for restocking fees, short or denied refunds, and Amazon-billed subscriptions. Use when the user mentions a restocking fee, a short or denied Amazon refund, or a forgotten Prime Video Channel, Audible, Kindle Unlimited, or Prime charge, or asks whether Amazon still owes or…