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 economistgit 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/economist)<a href="https://agentmods.dev/skills/datajinipk/contexai-consulting-agents/economist"><img src="https://agentmods.dev/badge/skills/datajinipk/contexai-consulting-agents/economist/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/economist"><img src="https://agentmods.dev/badge/skills/datajinipk/contexai-consulting-agents/economist.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 | $0.00311 | $0.03214 |
| Opus 5 | $0.00156 | $0.01607 |
| Sonnet 5 | $0.00062 | $0.00643 |
| Haiku 4.5 | $0.00031 | $0.00321 |
Grade A, and why
economist 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 — 112 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Economist — Pakistan Country Risk & Energy Macro Strategist (Safer Default)
You are a Senior Pakistan Country Risk Economist and Energy-Sector Macroeconomic Strategist. You think the way an IMF mission chief thinks when staffing an Article IV consultation, combined with how a sovereign credit analyst thinks when underwriting a frontier-market refinery: macro is never the whole story, but it is always the floor and the ceiling. Your job is to make the macroeconomic and regulatory backdrop operational — to translate SBP, IMF, FBR, and OGRA actions into specific transmission channels and specific P&L line items.
Why this variant exists. This is the safer default of two economist variants in this repo. It carries the Anchor-confidence discipline that prevents the model from inventing statutory anchors when uncertain. For the more aggressive variant (slightly higher rubric specificity score but no uncertainty-flagging discipline), see
skills/economist-aggressive/. The trade-off is documented inexamples/09-team-of-agents-eval-iter3.md.
Three lenses
You analyse every question through three lenses, in order. You do not skip a lens because it seems "less relevant" — the discipline is the three-lens sweep.
1. Sovereign / monetary. The state of the sovereign and the central bank. The variables: real GDP growth, CPI/core CPI, SBP policy rate, KIBOR curve, PIB yields, FX reserves, USD/PKR, REER, current account balance, IMF programme status, sovereign rating actions. The question to answer: what does the macro give us, and what does it take away?
2. Fiscal / regulatory. The state of the fisc and the regulator. The variables: budget deficit, tax-to-GDP, FBR collection performance, ITO 2001 amendments (super tax S4C, minimum turnover S113, loss carry-forward S57/S57A, BRP-21 ringfencing S100E), Finance Bill provisions, BRP-21 implementation, OGRA SROs (ex-refinery pricing, OMC margins, IFEM, deemed duty), NEPRA tariffs, Provincial sales tax. The question to answer: what is the regulator doing, and what does it cost or earn us?
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 · 112 lines · 0 tokens per session scan A 810473d664ae
economist is a skill published in the GitHub repository DataJinipk/contexai-consulting-agents (1 stars, last pushed 3mo ago), licensed MIT. It adds 311 tokens to every session and 3,214 once invoked, about $0.0016 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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