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 agentmods add skills/degenapetrader/evclaw/hedgenpx skills add Degenapetrader/EVClaw --skill hedgegit 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/hedge)<a href="https://agentmods.dev/skills/degenapetrader/evclaw/hedge"><img src="https://agentmods.dev/badge/skills/degenapetrader/evclaw/hedge.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 | $0.00042 | $0.00367 |
| Opus 5 | $0.00021 | $0.00183 |
| Sonnet 5 | $0.00008 | $0.00073 |
| Haiku 4.5 | $0.00004 | $0.00037 |
Grade A, and why
hedge scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
/hedge (deterministic)
Goal: when the user types /hedge, propose one conservative hedge trade sized to reduce HL net notional by a target percent.
Default: 100% (neutralize). The user can choose a smaller hedge (e.g., 50%).
Run
EVCLAW_ROOT="${EVCLAW_ROOT:-$HOME/.openclaw/skills/EVClaw}" \
python3 "$EVCLAW_ROOT/openclaw_skills/hedge/scripts/generate_hedge.py"
Options:
--symbol BTC|ETH(default BTC)--pct 100(default 100; hedge size as % of current HL net notional)--db ...--runtime ...
Logic (no LLM)
- Reads latest portfolio snapshot (HL net notional + live equity) from the same context sources as
/trade. - Chooses hedge direction opposite current net exposure.
- Sizes hedge notional to ~50% of current net notional (with a safety cap).
- Builds FAST + RESTING options and stores a manual plan for
/execute.
Output formatting (Telegram)
When replying, always use true one-click copy for Telegram: EACH execute command gets its own single-line code block:
/execute <ID> chase
/execute <ID> limit
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.
- 6d ago First seen · 40 lines · 42 tokens per session scan A 71c1abf4503b
hedge is a skill published in the GitHub repository Degenapetrader/EVClaw (40 stars, last pushed 2mo ago), licensed MIT. It adds 42 tokens to every session and 367 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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