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 fees-optimizationsgit 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/fees-optimizations)<a href="https://agentmods.dev/skills/superior-trade/superior-skills/fees-optimizations"><img src="https://agentmods.dev/badge/skills/superior-trade/superior-skills/fees-optimizations/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/fees-optimizations"><img src="https://agentmods.dev/badge/skills/superior-trade/superior-skills/fees-optimizations.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Prompt Injection · line 67 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
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 | $0.00094 | $0.02919 |
| Opus 5 | $0.00047 | $0.01460 |
| Sonnet 5 | $0.00019 | $0.00584 |
| Haiku 4.5 | $0.00009 | $0.00292 |
Grade A, and why
fees-optimizations 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 10d 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 — 211 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Freqtrade × Hyperliquid: Fee Optimization
When to use
- A user asks why their backtest PnL doesn't match live PnL.
- A user designs a tight-target scalp / market-making / grid strategy and you want to flag fee-as-a-fraction-of-edge concerns before they deploy.
- A user explicitly asks about maker vs taker, post-only, fee tiers, builder code, or slippage.
- Any time you're about to suggest an order_types/entry_pricing/exit_pricing block, anchor it to this skill's recommendations.
What you're actually paying
Fees on a Superior Trade Hyperliquid deployment have three layers, each tunable:
1. Hyperliquid exchange fees (the floor)
Hyperliquid's perp fees as of writing (verify against https://hyperliquid.gitbook.io/hyperliquid-docs/trading/fees for current numbers):
| Tier | Maker | Taker |
|---|---|---|
| Default | 0.010% (1 bp) | 0.045% (4.5 bp) |
| Tier 2 ($5M 14d vol) | 0.005% | 0.040% |
| Tier 3+ | scales toward 0% maker / 0.030% taker |
Spot is typically slightly lower; HLP/staking discounts can shave another 0.001-0.005%.
The big takeaway: maker is ~4.5× cheaper than taker. A round-trip taker trade pays ~9 bp; a round-trip maker trade pays ~2 bp. On a 0.6% scalp target, taker fees consume 15% of gross PnL before slippage.
2. Builder code fee (Superior's cut)
Every order on Superior-managed Hyperliquid deployments goes through a builder code, which adds a separate fee that goes to Superior. Default is 5 bp on volume traded, taker or maker. Verify the actual rate for the user's account in the Superior dashboard.
This fee is always paid regardless of order type. It can't be optimized away with maker/post-only — it scales with notional volume traded. The only knob is reducing turnover (fewer trades, larger size, longer holds).
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.
- 10d ago First seen · 211 lines · 94 tokens per session scan A feb4c522bf36
fees-optimizations is a skill published in the GitHub repository Superior-Trade/superior-skills (208 stars, last pushed 6d ago), licensed MIT. It adds 94 tokens to every session and 2,919 once invoked, about $0.0005 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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