| name | sf-loop-hunter |
| description | Recurring scanner that watches the StrategyFactory HOT leaderboard and surfaces NEW top-N picks as they appear. Designed to be wrapped by the /loop skill (or any cron) — runs one pass per invocation, persists the previous top-N to disk, and emits a delta. Use when the user asks "keep an eye on SF for new winners / monitor the leaderboard / alert me when a new top edge shows up / find me new bangers automatically". |
sf-loop-hunter
The "always-on edge hunter". One invocation = one scan. State persists at
~/.claude/skills/sf-skills/hunter-state.json so consecutive runs can
diff "what's new in the top N".
Pair with the /loop skill to run
on an interval:
/loop 15m python SF-Skills/sf-loop-hunter/hunter.py --top 10
What each run does
- Run
sf-best-pick logic against the HOT leaderboard (composite score).
- Load the previous top-N from disk.
- Diff: which slugs entered the top-N, which dropped out, which moved.
- Emit a short report. If nothing changed, prints
no change.
- Save the new top-N to disk.
When to use
- "Watch the SF leaderboard and tell me when something new ranks"
- "Run an edge-hunter in the background during the stream"
- "Alert me when a fresh top strategy appears"
How to run
python sf-loop-hunter/hunter.py [--top N] [--state PATH] [--json]
Defaults: top 10, state at ~/.claude/skills/sf-skills/hunter-state.json.
Output
HUNTER PASS @ 2026-05-24T14:00:00Z
+ NEW: spicy-trend-v2 score=0.83 PF=2.4 30d=+12.1%
+ RISER: meanrev-eth score=0.79 (was 0.71, +0.08)
- DROPPED: tired-edge-v1 was rank 4 — fell out of top 10
Notes
- State is local JSON, easy to inspect. Delete it to "forget" history.
- This is the discovery side. For "is what I'm running still good?" use
sf-loop-pruner.
