Borrowing it
Nothing to install: this file belongs to prof-little-bear/cc-equity-research. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/prof-little-bear/cc-equity-research/main/.claude/commands/macro.mdgit clone --depth 1 https://github.com/prof-little-bear/cc-equity-researchWrote 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/commands/prof-little-bear/cc-equity-research/macro)<a href="https://agentmods.dev/commands/prof-little-bear/cc-equity-research/macro"><img src="https://agentmods.dev/badge/commands/prof-little-bear/cc-equity-research/macro.svg" alt="Measured on agentmods" 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 | $0.00013 | $0.00354 |
| Opus 5 | $0.00006 | $0.00177 |
| Sonnet 5 | $0.00003 | $0.00071 |
| Haiku 4.5 | $0.00001 | $0.00035 |
Grade A, and why
macro 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 8d 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.
What it actually says
The user invoked /macro. This is the macro / economic-research category.
Step 1 — Routing.
- If
$ARGUMENTSclearly matches a skill (e.g., "yield curve", "trade flows for HS 8542", "labor market read"), go straight to Step 3. - Otherwise, ask the user which lens they want. Present the menu below verbatim and end with the default closer.
Step 2 — Menu to present:
| # | Skill | Use when |
|---|---|---|
| 1 | yield-curve |
rate cycle, inversion / re-steepening, credit spreads, combined recession signal |
| 2 | trade-flows |
supply-chain relocation at HS-code level; transshipment cross-check; tie shifts to public companies |
| 3 | labor-market |
leading labor indicators beyond the headline payroll number — claims, quits, temp employment, household vs. establishment |
End with: "Or just describe what you want — I'll pick the right lens."
Step 3 — Load and follow:
- 1 / yield-curve →
community-skills/economic-research/yield-curve.md - 2 / trade-flows →
community-skills/economic-research/trade-flows.md - 3 / labor-market →
community-skills/economic-research/labor-market.md - Free-text → match to the closest skill; ask one clarifying question only if truly ambiguous.
Read the chosen file and execute its workflow.
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.
- 8d ago First seen · 31 lines · 13 tokens per session scan A c9c9f2167dcc
macro is a command published in the GitHub repository prof-little-bear/cc-equity-research (88 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 13 tokens to every session and 354 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 2026-08-30.
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