StepCOVNet: Skill for Cursor

.cursor/skills/whats-next/SKILL.md

whats-next is a skill for Cursor from cpuguy96/StepCOVNet. It costs 66 tokens per session (2,128 once invoked), scanned A, original, Apache-2.0.

A procedure for running StepCOVNet training and MERT feature extraction on a Windows computer through WSL, the Windows feature that runs a Linux environment. It also describes how to use the available GPU safely.

In plain words
What is it for?
Starting training, running overfit tests, extracting MERT features with CUDA, checking GPU availability, and following the project's one-job-at-a-time rules.
Why use it?
It prevents GPU jobs from being run in the wrong environment or overlapping in ways that can cause failures or resource conflicts.

Skill for Cursor

Written for Cursor: installed under .cursor/.

This is cpuguy96/StepCOVNet's own configuration. It tells Cursor how to work on StepCOVNet itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything StepCOVNet configures →

Reuse

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.

Copy the file
curl -O https://raw.githubusercontent.com/cpuguy96/StepCOVNet/master/.cursor/skills/whats-next/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/cpuguy96/StepCOVNet

Made for: Cursor.

Wrote 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.

agentmods badge for whats-next

README.md
[![agentmods](https://agentmods.dev/badge/skills/cpuguy96/stepcovnet/whats-next/github.svg)](https://agentmods.dev/skills/cpuguy96/stepcovnet/whats-next)
Your own site
<a href="https://agentmods.dev/skills/cpuguy96/stepcovnet/whats-next"><img src="https://agentmods.dev/badge/skills/cpuguy96/stepcovnet/whats-next/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.

agentmods 80×15 button for whats-next

Your own site · 80×15
<a href="https://agentmods.dev/skills/cpuguy96/stepcovnet/whats-next"><img src="https://agentmods.dev/badge/skills/cpuguy96/stepcovnet/whats-next.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 66 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,128 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 2 findings, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Rogue Agent · line 48
    Skill modifies its own code, configuration, or behavior at runtime. Self-modification enables an agent to escalate privileges, disable safety constraints, or install persistent backdoors.
    Fix: Prevent the skill from modifying its own code, SKILL.md, or configuration files. Treat skill files as read-only at runtime.
  • high Rogue Agent · line 131
    Skill modifies its own code, configuration, or behavior at runtime. Self-modification enables an agent to escalate privileges, disable safety constraints, or install persistent backdoors.
    Fix: Prevent the skill from modifying its own code, SKILL.md, or configuration files. Treat skill files as read-only at runtime.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00066 $0.02128
Opus 5 $0.00033 $0.01064
Sonnet 5 $0.00013 $0.00426
Haiku 4.5 $0.00007 $0.00213

Measured 10d ago against content hash 40f8a589f48a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

whats-next 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 10d 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.

.cursor/skills/whats-next/SKILL.md · 148 lines

How it starts

The opening of the file, as written. The whole thing — 148 lines — stays where its author put it; the contents beside it link to each section on GitHub.

What's next

Use when the user asks what to do now, what's next, where are we, status, or orientation — including repeated asks across sessions.

Also load this skill when the user says do it, go ahead, start it, or run it after a whats-next answer (see § "Do it" below).

Workflow (same turn)

  1. Run status (repo root, Windows venv):

    venv\Scripts\python.exe scripts/project_status.py
    

    Use --json only when merging into another tool.

  2. Read EXPERIMENT_LOG.md § Current phase — that compact block is the live scoreboard (Next action, Blockers, numbers). This skill does not store them.

  3. If project_status.py lists Missing prerequisites, fold them into Before you start — do not suggest launching a run until blockers are addressed or the user accepts the risk.

  4. If GPU lock: held, say what job holds it; do not start another WSL GPU train/MERT job.

  5. Skim the latest EXP-… row in the experiment index only when status or Current phase references an incomplete run.

  6. Reply using the Answer template below. One primary action — not a menu unless the user asked for options.

  7. Always fill If you say "do it" with numbered, copy-paste-ready steps (commands, config paths, log names). This block is the contract for a follow-up do it.

Evidence before recommending a run

Do not put a new train/probe/loss in Now (or If you say "do it") unless you have concrete evidence it addresses the binding failure — not only that Current phase / a NOTE named it as a backlog idea.

Allowed as Now Not enough alone
Cheap diagnostics (ablation numbers, patch-acc curves, NLL vs uniform, error-mode analysis on an existing ckpt) “Next action” text that lists an untested lever
A one-knob change with a mechanism already supported by logged numbers Recipe spam (another λ / STE / aux) after similar recipes failed
A fix that already has unit/offline proof in-repo Speculative architecture (“attn-mass might help”) with no supporting measurement

Read the full file on GitHub · 148 lines

Changes

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.

  1. 10d ago First seen · 148 lines · 66 tokens per session scan A 40f8a589f48a

Subscribe to this mod's changes

whats-next is a skill published in the GitHub repository cpuguy96/StepCOVNet (22 stars, last pushed 16d ago), licensed Apache-2.0. It adds 66 tokens to every session and 2,128 once invoked, about $0.0003 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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