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 agiprolabs/claude-trading-skills --skill custom-indicatorsgit clone --depth 1 https://github.com/agiprolabs/claude-trading-skillsWrote 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/agiprolabs/claude-trading-skills/custom-indicators)<a href="https://agentmods.dev/skills/agiprolabs/claude-trading-skills/custom-indicators"><img src="https://agentmods.dev/badge/skills/agiprolabs/claude-trading-skills/custom-indicators/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/agiprolabs/claude-trading-skills/custom-indicators"><img src="https://agentmods.dev/badge/skills/agiprolabs/claude-trading-skills/custom-indicators.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
- 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 | $0.00026 | $0.03083 |
| Opus 5 | $0.00013 | $0.01541 |
| Sonnet 5 | $0.00005 | $0.00617 |
| Haiku 4.5 | $0.00003 | $0.00308 |
Grade A, and why
custom-indicators 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 — 399 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Custom Crypto Indicators
Why Standard TA Falls Short for Crypto
Traditional technical analysis was built for equities and forex — markets with fixed supply, regulated exchanges, and institutional-dominated order flow. Crypto markets have unique properties that demand purpose-built indicators:
- On-chain transparency: Every transaction is public. We can measure real economic activity, not just price and volume on a single exchange.
- Supply mechanics: Fixed or programmatic supply schedules make supply-side analysis (velocity, holder distribution) meaningful.
- Derivatives dominance: Perpetual futures funding rates and open interest often drive spot price, not the other way around.
- Whale concentration: A small number of wallets hold outsized supply. Tracking their behavior provides alpha that equity-market TA cannot.
- Exchange flows: On-chain deposit/withdrawal to centralized exchanges signals intent to sell or accumulate.
This skill covers nine crypto-native indicators. Each section includes the formula, interpretation guide, data sources, and a working code snippet.
Files
| File | Description |
|---|---|
references/indicator_formulas.md |
Full formulas, parameter tables, signal ranges for all 9 indicators |
references/signal_interpretation.md |
Composite scoring, divergence detection, false signal filtering |
scripts/compute_crypto_indicators.py |
Computes all 9 indicators from free APIs or demo data |
scripts/holder_momentum.py |
Holder count tracking with momentum signals |
Indicator 1: NVT Ratio
Network Value to Transactions — the crypto equivalent of a P/E ratio.
NVT = Market Cap / Daily On-Chain Transaction Volume (USD)
- High NVT (> 65): Network is overvalued relative to its economic throughput. Bearish signal.
- Low NVT (< 25): Network is undervalued or seeing heavy real usage. Bullish signal.
- Data sources: CoinGecko (market cap), blockchain explorers or DeFiLlama (transaction volume).
What ships with it
4 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 · 399 lines · 26 tokens per session scan A 535afabae868
custom-indicators is a skill published in the GitHub repository agiprolabs/claude-trading-skills (354 stars, last pushed 8d ago), licensed MIT. It adds 26 tokens to every session and 3,083 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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