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 Degenapetrader/EVClaw --skill best3git clone --depth 1 https://github.com/Degenapetrader/EVClawWrote 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/degenapetrader/evclaw/best3)<a href="https://agentmods.dev/skills/degenapetrader/evclaw/best3"><img src="https://agentmods.dev/badge/skills/degenapetrader/evclaw/best3.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00043 | $0.00449 |
| Opus 5 | $0.00022 | $0.00225 |
| Sonnet 5 | $0.00009 | $0.00090 |
| Haiku 4.5 | $0.00004 | $0.00045 |
Grade A, and why
best3 scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
/best3 (deterministic)
Goal: when the user types /best3, pick the best up to 3 current Hyperliquid perp opportunities using our existing candidate snapshot and produce manual plans (no LLM).
How it works
Run:
EVCLAW_ROOT="${EVCLAW_ROOT:-$HOME/.openclaw/skills/EVClaw}" \
python3 "$EVCLAW_ROOT/openclaw_skills/best3/scripts/generate_best3.py"
Optional:
--n 3(default 3)--db /path/to/ai_trader.db--runtime /path/to/evclaw/state
The script will:
- Load latest
evclaw_candidates_*.json - Rank candidates by
blended_conviction(fallbacks toconviction) - Allocate plan IDs in
manual_trade_plans - Build deterministic setups with:
- LIVE HL mid + BBO
- RESTING entry = SR support/resistance when available; fallback to 1×ATR from mid when SR missing/too far
- Post-only safe limit nudging
- Write
/tmp/manual_trade_plan_<ID>.json - Store READY rows in
manual_trade_plansfor/execute <ID> chase|limit
Output rules
- One-shot, normie-friendly.
- No internal jargon.
- Display live price (HL mid) for each pick.
- Always include true one-click copy for Telegram: EACH execute command gets its own single-line code block.
Example:
/execute <ID> chase
/execute <ID> limit
- Do NOT add labels/bullets/extra text inside those code blocks.
What ships with it
1 file 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.
- 7d ago First seen · 51 lines · 43 tokens per session scan A 20d8c7e82821
best3 is a skill published in the GitHub repository Degenapetrader/EVClaw (40 stars, last pushed 2mo ago), licensed MIT. It adds 43 tokens to every session and 449 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 2026-08-30.
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