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 nimadorostkar/Claude-Skills-collection --skill market-regimegit clone --depth 1 https://github.com/nimadorostkar/Claude-Skills-collectionWrote 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/nimadorostkar/claude-skills-collection/market-regime)<a href="https://agentmods.dev/skills/nimadorostkar/claude-skills-collection/market-regime"><img src="https://agentmods.dev/badge/skills/nimadorostkar/claude-skills-collection/market-regime/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/nimadorostkar/claude-skills-collection/market-regime"><img src="https://agentmods.dev/badge/skills/nimadorostkar/claude-skills-collection/market-regime.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00039 | $0.01588 |
| Opus 5 | $0.00019 | $0.00794 |
| Sonnet 5 | $0.00008 | $0.00318 |
| Haiku 4.5 | $0.00004 | $0.00159 |
Grade A, and why
market-regime 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 9d 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 — 138 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Market Regime
Purpose
Characterize the environment before selecting a strategy. A strategy that works in a trending, low-volatility regime frequently loses money in a choppy, high-volatility one — and the most common cause of a strategy "stopping working" is a regime change it was never designed to survive.
When to Use
- Setting overall exposure and strategy selection.
- Explaining why a strategy that worked has stopped.
- Assessing whether conditions favor trend-following or mean-reversion.
- Periodic review of the environment.
Capabilities
- Trend regime: trending versus range-bound.
- Volatility regime: expanding, contracting, and the level.
- Risk appetite: credit spreads, defensive versus cyclical leadership.
- Macro context: rates, the dollar, inflation expectations.
- Regime-appropriate strategy selection.
Inputs
- Index price and volatility history.
- Cross-asset data: credit spreads, rates, currencies, commodities.
- Sector and factor performance.
Outputs
- A regime characterization.
- Which strategies the regime favors and which it punishes.
- An exposure recommendation.
Workflow
- Establish the trend regime — Is the index above a rising long-term average, or chopping around a flat one? Trend-following requires a trend; in a range it bleeds.
- Establish the volatility regime — The level and, more importantly, the direction. Expanding volatility from a low base is the most dangerous configuration for leveraged and short-volatility positions.
- Read the risk appetite — Credit spreads widening while equities hold is a warning that the bond market disagrees. Defensive sectors leading in an advance is the same message.
- Note the macro backdrop — Rates, the dollar, and inflation expectations set the constraint within which everything else operates.
- Match the strategy to the regime — Do not run a mean-reversion strategy in a strong trend, and do not run a breakout strategy in a range. This is the entire point of the exercise.
- Re-assess on a schedule, not on impulse — Weekly. Regimes change slowly; reacting to daily noise is the failure mode this is meant to prevent.
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.
- 9d ago First seen · 138 lines · 39 tokens per session scan A 942420d07519
market-regime is a skill published in the GitHub repository nimadorostkar/Claude-Skills-collection (26 stars, last pushed 25d ago), licensed MIT. It adds 39 tokens to every session and 1,588 once invoked, about $0.0002 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 2026-09-03.
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