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StepCOVNet: Skill for Claude Code

.cursor/skills/agent-self-improvement/SKILL.md

agent-self-improvement is a skill for Claude Code, Cursor from cpuguy96/StepCOVNet. It costs 36 tokens per session (359 once invoked), scanned A, original, Apache-2.0.

Instructions for improving an AI agent's working process after a correction, mistake, or useful lesson.

In plain words
What is it for?
They are for promoting steering corrections, refreshing agent notes when needed, and recording the resulting artifact and journal reference.
Why use it?
They ensure important process changes are turned into a lasting artifact and recorded receipt instead of being written only in a journal.

Skill for Claude CodeCursor

Written for Claude Code and Cursor: disable-model-invocation in frontmatter, but also installed under .cursor/.

This is cpuguy96/StepCOVNet's own configuration. It tells Claude Code and 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 →

not rated 22repo 27d ago A scan 36 tokens original Apache-2.0
View source ↗ cpuguy96/StepCOVNet
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/agent-self-improvement/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/cpuguy96/StepCOVNet

Made for: Claude Code, 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.

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README.md
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<a href="https://agentmods.dev/skills/cpuguy96/stepcovnet/agent-self-improvement"><img src="https://agentmods.dev/badge/skills/cpuguy96/stepcovnet/agent-self-improvement/github.svg" alt="Measured on agentmods" height="20"></a>

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agentmods 80×15 button for agent-self-improvement

Your own site · 80×15
<a href="https://agentmods.dev/skills/cpuguy96/stepcovnet/agent-self-improvement"><img src="https://agentmods.dev/badge/skills/cpuguy96/stepcovnet/agent-self-improvement.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 36 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 359 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.
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 $0.00036 $0.00359
Opus 5.5 $0.00014 $0.00144
Sonnet 5.5 $0.00007 $0.00072
Haiku 4.5 $0.00004 $0.00036

Measured 2mo ago against content hash 672e95096e32, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

agent-self-improvement 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.

.cursor/skills/agent-self-improvement/SKILL.md · 42 lines

What it actually says

Agent self-improvement

Steering corrections → promotion skill

On user steering, remember this, or a process mistake worth preserving:

  1. Open and follow steering-correction-promotion same turn.
  2. If brain files changed, run quick agent-brain-refresh.

Journal = receipt

Step Action
1 Artifact per promotion skill
2 Prepend JRN with Artifact path
3 Confirm artifact + journal id in chat

Journal-only entries are incomplete (except explicit user deferral).

When to run

Immediately: steering correction, remember this, costly mistake, durable fix.

Periodically: after discrete tasks with process lessons; before switching task areas.

Session end: catch missed artifact + JRN pairs; run agent-brain-refresh if brain files changed.

JRN format

See steering-correction-promotion § JRN receipt and self-journal.md.

Do not

  • Store research findings in the journal (use EXPERIMENT_LOG / DISCUSSION_NOTES)
  • Create skills in ~/.cursor/skills-cursor/ (Cursor internal)
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. 2mo ago First seen · 42 lines · 36 tokens per session scan A 672e95096e32

Subscribe to this mod's changes

agent-self-improvement is a skill published in the GitHub repository cpuguy96/StepCOVNet (22 stars, last pushed 27d ago), licensed Apache-2.0. It adds 36 tokens to every session and 359 once invoked, about $0.0001 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.

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Related

agent-self-improvement compared with skills from other repositories

agent-self-improvement next to 6 skills from other repositories
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agent-self-improvementcpuguy96/StepCOVNetSkill2227d agoApache-2.0A36Claude Code, Cursor
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physicsnemo-shard-tensorNVIDIA/physicsnemoSkill3.4ktodayApache-2.0A152Claude Code, Codex
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