Borrowing it
Nothing to install: this file belongs to cpuguy96/StepCOVNet. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/cpuguy96/StepCOVNet/master/.cursor/skills/tide-overfit-protocol/SKILL.mdgit clone --depth 1 https://github.com/cpuguy96/StepCOVNetWrote 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/cpuguy96/stepcovnet/tide-overfit-protocol)<a href="https://agentmods.dev/skills/cpuguy96/stepcovnet/tide-overfit-protocol"><img src="https://agentmods.dev/badge/skills/cpuguy96/stepcovnet/tide-overfit-protocol/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/cpuguy96/stepcovnet/tide-overfit-protocol"><img src="https://agentmods.dev/badge/skills/cpuguy96/stepcovnet/tide-overfit-protocol.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00060 | $0.00560 |
| Opus 5.5 | $0.00024 | $0.00224 |
| Sonnet 5.5 | $0.00012 | $0.00112 |
| Haiku 4.5 | $0.00006 | $0.00056 |
Grade A, and why
tide-overfit-protocol 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 2mo 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
Tide overfit protocol
When to use
Single-song memorization check on tide before scaling to multi-song val. Default 50 epochs; 100 ep only when explicitly testing epoch sensitivity.
Preconditions
- Tide audio/chart paths in
configs/overfit_tide/*.json - MERT:
data/v2/test/tide.mert.npy(or path in configmert_features_dir) - Do not set
pipeline_check_shortcuts=trueunless explicitly debugging pipeline wiring
Run (WSL GPU)
Use the WSL command template with:
scripts/run_overfit_tide_suite.py --epochs=50
Subset frontends: --frontends=conv1d,mel
Scripts auto-dispatch from Windows when WSL is available.
Configs and artifacts
| Item | Path |
|---|---|
| Configs | configs/overfit_tide/{conv1d,mel,mert}.json |
| Models | models_wsl/overfit_tide/<frontend>/ |
| Summary | models_wsl/overfit_tide/suite_summary.json |
| Callbacks | callbacks/overfit_tide/<frontend>/ |
After the run
- Read
suite_summary.jsonfor per-frontend F1 / precision / recall - Log
EXP-YYYYMMDD-NNin EXPERIMENT_LOG.md with full timestamp (index + entry) - If F1=0 or conv1d collapse → follow onset-event-eval-matching before retraining
- If plateau persists → tide-ablations or formulation change per EXPERIMENT_LOG.md § Recommended next step
Related
- wsl-gpu-stepcovnet
- PIPELINE_ARCHITECTURE.md — tag stage
prefor frontend comparison
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.
- 2mo ago First seen · 48 lines · 60 tokens per session scan A f552d97e0cf9
tide-overfit-protocol is a skill published in the GitHub repository cpuguy96/StepCOVNet (22 stars, last pushed 27d ago), licensed Apache-2.0. It adds 60 tokens to every session and 560 once invoked, about $0.0002 per session on Opus 5.5. 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.
tide-overfit-protocol compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| tide-overfit-protocolcpuguy96/StepCOVNet | Skill | 22 | 27d ago | Apache-2.0 | A | 60 | Cursor |
| physicsnemo-discoverNVIDIA/physicsnemo | Skill | 3.4k | today | Apache-2.0 | A | 124 | Claude Code, Codex |
| depth-estimationSharpAI/DeepCamera | Skill | 3.1k | 1mo ago | MIT | A | 22 | Claude Code, Codex |
| HomeSafe-BenchSharpAI/DeepCamera | Skill | 3.1k | 1mo ago | MIT | A | 28 | Claude Code, Codex |
| perforatedai-plotPerforatedAI/PerforatedAI | Skill | 240 | 2d ago | Apache-2.0 | A | 90 | Claude Code, Codex |
| ml-for-aecAbhinavbwj/Claude-skills-for-Computational-Designers | Skill | 226 | 7mo ago | MIT | A | 39 | Claude Code |
| ml-architecture-diagramZtsdut/ml-architecture-diagram-skill | Skill | 5 | 2mo ago | MIT | A | 95 | Claude Code, Codex |