How do I install the Sf Loop Hunter skill?

Run npx skillmds@latest add daviddme/sf-loop-hunter in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Sf Loop Hunter safe to use?

This skill has not completed SkillMD's automated safety review yet. Capability flags: executes scripts. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Sf Loop Hunter?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Sf Loop Hunter free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Sf Loop Hunter?

daviddme (@daviddme) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Sf Loop Hunter by daviddme — Agent Skill

Name: Sf Loop Hunter
Rating: 4.5 (4 reviews)
Author: daviddme

Sf Loop Hunter

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".

daviddme Updated Sep 22, 2026

File contents

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.

Frequently asked questions