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 Superior-Trade/superior-skills --skill funding-squeezegit clone --depth 1 https://github.com/Superior-Trade/superior-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/superior-trade/superior-skills/funding-squeeze)<a href="https://agentmods.dev/skills/superior-trade/superior-skills/funding-squeeze"><img src="https://agentmods.dev/badge/skills/superior-trade/superior-skills/funding-squeeze/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/superior-trade/superior-skills/funding-squeeze"><img src="https://agentmods.dev/badge/skills/superior-trade/superior-skills/funding-squeeze.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 | $0.00077 | $0.02435 |
| Opus 5 | $0.00039 | $0.01218 |
| Sonnet 5 | $0.00015 | $0.00487 |
| Haiku 4.5 | $0.00008 | $0.00244 |
Grade A, and why
funding-squeeze 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 12d 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 — 182 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Strategy: Funding · Short-Squeeze Fuel
When to use
A user asks for "squeeze trade", "fade the shorts", "short squeeze fuel", "longs eat shorts", "negative funding rally", or any framing where they want to ride the squeeze by going long when the order book is short-heavy and the price is already turning up.
This is the inverse of pure carry: instead of waiting for funding to mean-revert (strategy-funding-rate-arbitrage), this strategy enters when shorts are getting squeezed harder (funding worsening AND price rising), expecting forced unwinds to fuel further upside.
Honest framing — when this works and when it doesn't
Squeeze setups are time-sensitive and regime-dependent:
- Best regime: choppy or rotating markets where shorts get caught after a deeper pullback. Recent up-move + persistent negative funding = textbook fuel.
- Worst regime: structural downtrends. Negative funding is normal in bear markets — shorts are right, not trapped. Without confirming up-move, this strategy gets stopped repeatedly.
- The take-profit problem: squeezes are explosive and reverse fast. Holding past funding normalisation gives the gain back.
Use the time-stop and the funding-flip exit. Don't try to ride the trend after funding turns positive.
Backtest reference
| Window | BTC/USDC:USDC 1h, 2026-01-01 → 2026-05-01 (BTC −13% over the window) |
|---|---|
| Trades | 8 |
| Win rate | 38% (3W / 5L) |
| Wallet PnL | −0.75% |
| Sharpe | −0.75 |
| Max drawdown | 0.75% |
| Avg holding | 12h 30m |
| Backtest ID | 01kr42gvqnyessxdrsf3qym7sa |
| Exit-reason mix | 6 signal exits · 1 trailing-stop win · 1 stoploss |
The strategy executed correctly — the negative PnL is a regime call, not a broken implementation. The window covers BTC's −13% slide; long-only squeezes in a structural downtrend get stopped repeatedly. The trailing-stop win shows the trade thesis works when a squeeze actually catches (the one trade that resolved up made +1.3%); the issue is that the entry filter fired on too many bear-market dead-cat bounces.
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.
- 12d ago First seen · 182 lines · 77 tokens per session scan A 85217295d14e
funding-squeeze is a skill published in the GitHub repository Superior-Trade/superior-skills (209 stars, last pushed 2d ago), licensed MIT. It adds 77 tokens to every session and 2,435 once invoked, about $0.0004 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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