Fintool
second-state/fintool
Financial trading CLIs — spot and perp trading on Hyperliquid, Binance, Coinbase, OKX.
Quantifies crypto market regime health using free, keyless public data (CoinGecko + Binance funding).
Install Crypto Regime Analyzer
$ npx skills add tradermonty/claude-trading-skills --skill crypto-regime-analyzer -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install tradermonty/claude-trading-skills crypto-regime-analyzer --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/tradermonty/claude-trading-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/crypto-regime-analyzer .claude/skills/crypto-regime-analyzer && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "crypto-regime-analyzer" agent skill from https://github.com/tradermonty/claude-trading-skills/tree/main/skills/crypto-regime-analyzer into .claude/skills/crypto-regime-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "crypto-regime-analyzer", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/tradermonty/claude-trading-skills/tree/main/skills/crypto-regime-analyzerType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add tradermonty/claude-trading-skills --skill crypto-regime-analyzer -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install tradermonty/claude-trading-skills crypto-regime-analyzer --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tradermonty/claude-trading-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/crypto-regime-analyzer .agents/skills/crypto-regime-analyzer && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "crypto-regime-analyzer" agent skill from https://github.com/tradermonty/claude-trading-skills/tree/main/skills/crypto-regime-analyzer into .agents/skills/crypto-regime-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "crypto-regime-analyzer", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add tradermonty/claude-trading-skills --skill crypto-regime-analyzer -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install tradermonty/claude-trading-skills crypto-regime-analyzer --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tradermonty/claude-trading-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/crypto-regime-analyzer .cursor/skills/crypto-regime-analyzer && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "crypto-regime-analyzer" agent skill from https://github.com/tradermonty/claude-trading-skills/tree/main/skills/crypto-regime-analyzer into .cursor/skills/crypto-regime-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "crypto-regime-analyzer", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/tradermonty/claude-trading-skills.git --path skills/crypto-regime-analyzer--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add tradermonty/claude-trading-skills --skill crypto-regime-analyzer -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install tradermonty/claude-trading-skills crypto-regime-analyzer --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tradermonty/claude-trading-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/crypto-regime-analyzer .gemini/skills/crypto-regime-analyzer && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "crypto-regime-analyzer" agent skill from https://github.com/tradermonty/claude-trading-skills/tree/main/skills/crypto-regime-analyzer into .gemini/skills/crypto-regime-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "crypto-regime-analyzer", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install tradermonty/claude-trading-skills crypto-regime-analyzerInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add tradermonty/claude-trading-skills --skill crypto-regime-analyzer -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/tradermonty/claude-trading-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/crypto-regime-analyzer .github/skills/crypto-regime-analyzer && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "crypto-regime-analyzer" agent skill from https://github.com/tradermonty/claude-trading-skills/tree/main/skills/crypto-regime-analyzer into .github/skills/crypto-regime-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "crypto-regime-analyzer", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add tradermonty/claude-trading-skills --skill crypto-regime-analyzer -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install tradermonty/claude-trading-skills crypto-regime-analyzer --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tradermonty/claude-trading-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/crypto-regime-analyzer .opencode/skills/crypto-regime-analyzer && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "crypto-regime-analyzer" agent skill from https://github.com/tradermonty/claude-trading-skills/tree/main/skills/crypto-regime-analyzer into .opencode/skills/crypto-regime-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "crypto-regime-analyzer", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
crypto-regime-analyzer- GitHub stars
- 3k
- Token cost
- ~1.8k tokens
- SKILL.md length
- 789 words
- Files
- 25 (incl. scripts, references)
- Skills in repo
- 74
- Repo updated
- First seen
- Licence
- MIT
At a glance
Quantifies crypto market regime health using free, keyless public data (CoinGecko + Binance funding).
- Works in 3 steps: Run the Analysis Script → Interpret the Output → (optional): Feed Downstream
- User asks about crypto market conditions
- SKILL.md covers Purpose, When to Use This Skill, What This Skill Does NOT Do and Prerequisites, plus 6 more sections
- Runs Python scripts from its folder; calls python3
What it does
Crypto Regime Analyzer is an agent skill from tradermonty/claude-trading-skills. Quantifies crypto market regime health using free, keyless public data (CoinGecko + Binance funding). Generates a 0-100 composite score across 6 components (100 = risk-on) with a posture recommendation. No API key required. Use when user asks about crypto market conditions, whether it's alt season, BTC dominance, crypto risk-on vs risk-off, funding rates, or whether crypto exposure should be increased or reduced.
Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 28 other files, including scripts and reference files (for example `references/VALIDATION.md`, `references/crypto_regime_methodology.md` and `scripts/calculators/__init__.py`).
It sits in Business, Finance & HR. It works with Binance. The repository describes itself as: Claude Code skills for equity investors and traders — market analysis, technical charting, economic calendars, screeners, and trading strategy development. The licence is MIT.
When your agent uses it
- User asks about crypto market conditions
- Whether its alt season
- Crypto risk-on vs risk-off
- Whether crypto exposure should be increased
Example prompts
- “Use the crypto-regime-analyzer skill to quantify crypto market regime health using free, keyless public data (CoinGecko + Binance funding)”
- “/crypto-regime-analyzer”
Requirements
- Python 3
Workflow steps
3 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit c8d58f0. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 13 files in scripts/ (Python, from the files we listed), which the agent can run.
Shell commands in SKILL.md call:
python3
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Crypto Regime Analyzer loads about 1.8k tokens when it runs, and up to ~3.9k if it reads all its reference files. Until then it costs about 110 tokens; SKILL.md has 789 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
SKILL.md
The full file from tradermonty/claude-trading-skills at commit c8d58f0, republished under its MIT licence (© tradermonty). 789 words, ~1,835 tokens.
Download SKILL.mdSave it as
.claude/skills/crypto-regime-analyzer/SKILL.md (or your agent's skills folder). This skill also uses 24 other files; get the full folder from GitHub.- name
- crypto-regime-analyzer
- description
- Quantifies crypto market regime health using free, keyless public data (CoinGecko + Binance funding). Generates a 0-100 composite score across 6 components (100 = risk-on) with a posture recommendation. No API key required. Use when user asks about crypto market conditions, whether it's alt season, BTC dominance, crypto risk-on vs risk-off, funding rates, or whether crypto exposure should be increased or reduced.
Crypto Regime Analyzer Skill
Purpose
Quantify the crypto market regime using a data-driven 6-component scoring system (0-100). This is the crypto analog of market-breadth-analyzer + exposure-coach: it answers "what posture does the crypto market currently support?" before any coin-level analysis happens.
Score direction: 100 = Maximum risk-on health (broad participation, healthy trend, sane leverage), 0 = Critical risk-off.
No API key required — uses CoinGecko's free public API and Binance's public futures endpoint.
When to Use This Skill
- User asks "Is crypto risk-on or risk-off right now?" or "How healthy is the crypto market?"
- User asks "Is it alt season?" or about BTC dominance direction
- User asks whether funding rates are overheated
- User wants an exposure posture for a crypto sleeve before screening individual coins
- User wants a daily crypto regime check alongside the equity
market-regime-dailyworkflow
What This Skill Does NOT Do
- No coin picks, no buy/sell signals, no price targets
- No execution or portfolio changes — regime description only
- Human decision gates remain central, consistent with the project vision
Prerequisites
- Python 3.9+ with
requests(live mode only; offline mode is stdlib-only) - Internet access to
api.coingecko.comandfapi.binance.com(live mode) - No API keys required
Component Model
| # | Component | Weight | Question it answers |
|---|---|---|---|
| 1 | BTC Trend Structure | 25% | Is the reserve asset's primary trend intact? (price vs 50/200DMA stack, 200DMA slope) |
| 2 | Alt Breadth Participation | 20% | How broadly are alts participating? (% of top-N above 200DMA, 50DMA confirmation) |
| 3 | BTC Dominance Regime | 15% | Where is capital rotating? (dominance direction interpreted jointly with BTC trend) |
| 4 | Perpetual Funding Regime | 15% | How crowded is leverage? (avg funding across majors; contrarian at extremes) |
| 5 | Drawdown & Volatility Position | 15% | Where are we in the cycle? (drawdown from 1y high, realized vol percentile) |
| 6 | Momentum Thrust / Washout | 10% | Short-horizon confirmation (% of universe positive over 30d) |
Missing components have their weight proportionally redistributed (same convention as market-breadth-analyzer). Full scoring logic: references/crypto_regime_methodology.md.
Regime Zones
| Score | Zone | Posture |
|---|---|---|
| 80-100 | RISK_ON | Broad risk-on conditions observed; review risk limits before decisions |
| 40-79 | NEUTRAL | Mixed conditions observed; no strong regime conclusion |
| 0-39 | RISK_OFF | Defensive market conditions observed; review existing risk controls |
These are heuristic descriptive bands, not validated allocation rules. See
references/VALIDATION.md for the current evidence boundary and the artifacts
required before making quantitative performance claims.
Execution Workflow
Phase 1: Run the Analysis Script
Live mode (fetches CoinGecko + Binance; first run of the day takes ~2-4 minutes at the default --top-n 20 due to free-tier rate-limit throttling; same-day re-runs hit the cache and are instant):
mkdir -p reports/<routine-or-date>
python3 skills/crypto-regime-analyzer/scripts/crypto_regime_analyzer.py \
--output-dir reports/<routine-or-date>Offline mode (no network; snapshot schema in the methodology reference):
python3 skills/crypto-regime-analyzer/scripts/crypto_regime_analyzer.py \
--input-json snapshot.json \
--output-dir reports/<routine-or-date>Options: --top-n <int> universe size (default 20), --cache-dir <path> fetch cache location (default .crypto_regime_cache), --quiet.
Phase 2: Interpret the Output
The script writes crypto_regime.json (machine-readable, for chaining into other skills) and crypto_regime.md (one-page report), and prints a one-line summary:
CRYPTO REGIME: NEUTRAL (score 68.4/100) — Mixed conditions observed; no strong regime conclusionWhen presenting results, lead with the zone and posture, then explain the 1-2 components most responsible for the score using their signal strings. Flag any components reporting data_available: false and what that means for confidence.
Show full SKILL.md (298 more words)Show less
Phase 3 (optional): Feed Downstream
The JSON composite can slot into an exposure-coach-style posture summary as
one descriptive crypto-market input. It must not independently authorize,
block, size, or execute a trade.
Output
The script writes two artifacts to --output-dir and prints a one-line summary for workflow chaining:
crypto_regime.json— full machine-readable analysis:metadata, per-component results (score,signal,data_available, component-specific fields), and thecompositeblock (score,zone,guidance,effective_weights).crypto_regime.md— one-page report: composite score with zone bar, posture line, per-component table (weight / score / signal), and confidence notes.- Console:
CRYPTO REGIME: <ZONE> (score <N>/100) — <posture>plus warnings for any skipped components.
Resources
references/VALIDATION.md— validation status, evidence boundary, and reproduction requirements.references/crypto_regime_methodology.md— full scoring rationale, every threshold table, the offline snapshot JSON schema, and the live data-source endpoint list.scripts/crypto_regime_analyzer.py— CLI orchestrator (entry point).scripts/data_client.py— CoinGecko/Binance fetchers, per-day cache, dominance history accumulator, offline loader.scripts/calculators/— one module per component; pure functions, fully unit-tested.scripts/scorer.py— weighted composite with proportional weight redistribution.scripts/tests/— tests covering every component, the scorer, sparse-data fail-closed behavior, and end-to-end bull/bear/degraded snapshots.
Known Limitations
- Dominance history accumulates locally. CoinGecko's free tier only exposes current dominance, so the client stores one observation per run-day in the cache dir. The dominance component reports
data_available: falseuntil 31 daily observations exist (weight is redistributed until then). Seed it faster via--input-json. - Funding is best-effort. If Binance's endpoint is unreachable (geo-restrictions, outage), the component is skipped gracefully.
- Universe is top-N by market cap with stablecoins and wrapped/staked assets excluded; it is not a fixed index, so composition drifts with the market.
- Thresholds are heuristic and documented in the methodology reference; they are conservative defaults, not backtested optima.
Disclaimer
Educational and process-improvement use only. This skill describes market conditions; it does not provide financial advice, signals, or buy/sell instructions. All decisions remain the user's responsibility.
© tradermonty, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 24 other files (scripts, references) in skills/crypto-regime-analyzer of tradermonty/claude-trading-skills.
- SKILL.md
- references/VALIDATION.md
- references/crypto_regime_methodology.md
- requirements.txt
- scripts/calculators/__init__.py
- scripts/calculators/alt_breadth_calculator.py
- scripts/calculators/btc_trend_calculator.py
- scripts/calculators/dominance_calculator.py
- scripts/calculators/drawdown_vol_calculator.py
- scripts/calculators/funding_calculator.py
- scripts/calculators/momentum_thrust_calculator.py
- scripts/crypto_regime_analyzer.py
- scripts/data_client.py
- scripts/numeric_utils.py
- scripts/report_generator.py
- scripts/scorer.py
- scripts/tests/conftest.py
- … and 8 more
Open the folder on GitHubat commit c8d58f0
Compare with similar skills
Crypto Regime Analyzer next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Crypto Regime Analyzer this skilltradermonty/claude-trading-skills | 3k | — | ~1.8k | Automated safety check: Pass | MIT | |
| Fintoolsecond-state/fintool | 316 | — | ~5.9k | Automated safety check: Pass | None | |
| Academy Skillbinance/binance-skills-hub | 1.1k | — | ~3.5k | Automated safety check: Notes | None | |
| Binance Sports AI Analyzerbinance/binance-skills-hub | 1.1k | — | ~2k | Automated safety check: Pass | None | |
| Crypto Market Rankbinance/binance-skills-hub | 1.1k | — | ~1.6k | Automated safety check: Pass | None | |
| Fiatnpc-live/clawfirm | 156 | 1 repos | ~2.1k | Automated safety check: Pass | MIT |
Similar skills
Academy Skill
binance/binance-skills-hub
Retrieve Binance Academy's official educational content (Glossary, Courses, Learn & Earn, Articles) for AI chat.
Binance Sports AI Analyzer
binance/binance-skills-hub
A skill your agent uses when users ask for World Cup or 世界杯 AI match predictions, WC assistant probabilities, World Cup news insights, master analysis, recomputing football match win rates with…
Crypto Market Rank
binance/binance-skills-hub
Crypto market leaderboards — ranked aggregate feeds across the whole market: social-hype/sentiment rank, trending / top-search / Binance Alpha / tokenized-stocks rank, smart-money net-inflow rank…
Fiat
npc-live/clawfirm
Query Binance fiat payment capabilities — supported countries, currencies, payment methods, limits, and crypto prices — via public APIs, plus authenticated order/payment history lookup.
Meme Rush
binance/binance-skills-hub
Live launchpad feed + AI hot topics for meme tokens. An agent skill from binance/binance-skills-hub.
More from tradermonty/claude-trading-skills
All 74 skills in this repoTechnical Analyst
tradermonty/claude-trading-skills
This skill should be used when analyzing weekly price charts for stocks, stock indices, cryptocurrencies, or forex pairs.
Theme Detector
tradermonty/claude-trading-skills
Detect and analyze trending market themes across sectors. An agent skill from tradermonty/claude-trading-skills.
Trader Memory Core
tradermonty/claude-trading-skills
Track investment theses across their lifecycle — from screening idea to closed position with postmortem.
Edge Strategy Reviewer
tradermonty/claude-trading-skills
Critically review strategy drafts from edge-strategy-designer for edge plausibility, overfitting risk, sample size adequacy, and execution realism.
Sector Analyst
tradermonty/claude-trading-skills
This skill should be used when analyzing sector rotation patterns and market cycle positioning.
Stanley Druckenmiller Investment
tradermonty/claude-trading-skills
Druckenmiller Strategy Synthesizer - Integrates 8 upstream skill outputs (Market Breadth, Uptrend Analysis, Market Top, Macro Regime, FTD Detector, VCP Screener, Theme Detector, CANSLIM Screener)…
Related
Works with
Categories
Questions about Crypto Regime Analyzer
What does Crypto Regime Analyzer do?
Quantifies crypto market regime health using free, keyless public data (CoinGecko + Binance funding). Crypto Regime Analyzer is an agent skill from tradermonty/claude-trading-skills. Quantifies crypto market regime health using free, keyless public data (CoinGecko + Binance funding).
When should I use Crypto Regime Analyzer?
Crypto Regime Analyzer fits situations like: user asks about crypto market conditions; whether its alt season; crypto risk-on vs risk-off; whether crypto exposure should be increased.
How do I install Crypto Regime Analyzer in Claude Code?
Run `npx skills add tradermonty/claude-trading-skills --skill crypto-regime-analyzer -a claude-code`. Or copy the skill folder (skills/crypto-regime-analyzer in tradermonty/claude-trading-skills) into .claude/skills/crypto-regime-analyzer in your project. Claude Code loads it when a task matches its description.
How do I install Crypto Regime Analyzer in Codex?
Run `npx skills add tradermonty/claude-trading-skills --skill crypto-regime-analyzer -a codex`. Or copy the skill folder (skills/crypto-regime-analyzer in tradermonty/claude-trading-skills) into .agents/skills/crypto-regime-analyzer in your project. Codex loads it when a task matches its description.
Can I use Crypto Regime Analyzer in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add tradermonty/claude-trading-skills --skill crypto-regime-analyzer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/crypto-regime-analyzer, .gemini/skills/crypto-regime-analyzer, .github/skills/crypto-regime-analyzer and .opencode/skills/crypto-regime-analyzer in your project.
What does Crypto Regime Analyzer need to run?
Going by SKILL.md and its folder, Crypto Regime Analyzer needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.
Does Crypto Regime Analyzer access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Crypto Regime Analyzer safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Crypto Regime Analyzer use?
Crypto Regime Analyzer is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Crypto Regime Analyzer use?
About 1.8k tokens (SKILL.md is roughly 7.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2k tokens, read only when the agent opens those files.
What are the alternatives to Crypto Regime Analyzer?
Skills that share tags, products or a category with Crypto Regime Analyzer: Fintool (second-state/fintool, 316 stars), Academy Skill (binance/binance-skills-hub, 1.1k stars), Binance Sports AI Analyzer (binance/binance-skills-hub, 1.1k stars) and Crypto Market Rank (binance/binance-skills-hub, 1.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Crypto Regime Analyzer?
tradermonty (a GitHub user) maintains it in tradermonty/claude-trading-skills, which has 2,982 GitHub stars. The repository holds 74 skills in this directory. The repository was last updated on October 11, 2026.
Source: tradermonty/claude-trading-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.