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 bange…
Install
$ agentstack add skill-daviddme-claude-skills-sf-loop-hunter ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-daviddme-claude-skills-sf-loop-hunter) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
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](../../README.md#loop-driven-skills) to run on an interval:
/loop 15m python SF-Skills/sf-loop-hunter/hunter.py --top 10What each run does
- Run
sf-best-picklogic 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 10Notes
- 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](../sf-loop-pruner/SKILL.md).
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: daviddme
- Source: daviddme/claude-skills
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.