nobrainer-autoimprove

nobrainer-autoimprove is a skill for Claude Code from nobrainer-tech/nobrainer-tech-skills. It costs 70 tokens per session (2,412 once invoked), scanned A, original, MIT.

A measured improvement loop for one skill, prompt, instruction, checklist, or similar reviewable artifact.

In plain words
What is it for?
Use it to test bounded improvements, capture appropriate lessons, and revert changes that do not improve the measured result.
Why use it?
It avoids subjective rewrites by comparing a frozen baseline with a changed version and keeping changes only when evaluation shows improvement.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions AGENTS.md.

Part of the nobrainer-tech-skills plugin — 15 skills shipped together

Good fit Use it to test bounded improvements, capture appropriate lessons, and revert changes that do not improve the measured result.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/nobrainer-tech/nobrainer-tech-skills/nobrainer-autoimprove
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add nobrainer-tech/nobrainer-tech-skills --skill nobrainer-autoimprove
Clone the repo
git clone --depth 1 https://github.com/nobrainer-tech/nobrainer-tech-skills

Made for: Claude Code.

Or install nobrainer-tech-skills, the plugin that ships this one along with the rest of its 15 skills.

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 nobrainer-autoimprove

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/nobrainer-tech/nobrainer-tech-skills/nobrainer-autoimprove"><img src="https://agentmods.dev/badge/skills/nobrainer-tech/nobrainer-tech-skills/nobrainer-autoimprove.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 70 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,412 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 $0.00070 $0.02412
Opus 5 $0.00035 $0.01206
Sonnet 5 $0.00014 $0.00482
Haiku 4.5 $0.00007 $0.00241

Measured 7d ago against content hash 223702bb56cd, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

nobrainer-autoimprove 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 7d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/count_words.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/nobrainer-autoimprove/SKILL.md · 209 lines

How it starts

The opening of the file, as written. The whole thing — 209 lines — stays where its author put it; the contents beside it link to each section on GitHub.

NoBrainer Autoimprove

Improve one artifact only when a frozen evaluation proves a candidate better. This independent adaptation applies Andrej Karpathy's autoresearch measure-change-keep loop to skills, prompts, instructions and other reviewable artifacts; it is not an official Karpathy project.

Route the smallest fix

Fix an obvious typo, dead link or deterministic defect directly and cover it with the normal test. Do not start an experiment when the objective cannot be measured, target/evaluator isolation is impossible, or the change needs an unapproved production, credential, publishing, safety or irreversible action.

Treat owner correction as evidence, not permission for a global rewrite:

  • task-local clarification stays in the task;
  • a repeatable behavior gap becomes a regression scenario;
  • a verified durable fact or preference follows LEARNING_WRITE_POLICY: AUTO_SCOPED writes one minimal sourced rule to one canonical store, ASK prepares one exact diff, and OFF keeps it task-local: do not create a durable diff in AGENTS.md, tasks/lessons.md or a wiki.

On AGENT_ERROR_CORRECTED, preserve the failing scenario and error fingerprint, fix the active result first, then test the smallest reusable prevention. One anecdote never justifies a broad user trait or unrelated write.

Frame before mutation

Freeze this contract before changing the target:

TARGET: <one artifact and allowed write scope>
OBJECTIVE: <one observable improvement>
BASELINE_VERSION: <commit/hash/copy>
DEVELOPMENT_EVAL: <representative iteration cases>
HOLDOUT_EVAL: <unseen promotion cases>
HARD_GATES: <format, safety and deterministic checks>
SCORE: <criteria, aggregation, direction and meaningful delta>
EVAL_INTEGRITY: <separate owners, access and calibration controls>
SCORE_RECEIPT: <append-only trial identity, provenance, raw evidence and decision>
NOISE_POLICY: <paired repetitions, dispersion and retry rule>
BUDGET: <finite variants, rounds, repetitions, retries, time and resources>
PLATEAU: <minimum delta and dry rounds>
ROLLBACK: <retained baseline, restore and readback>
OWNER_GATES: <action, owner and recorded evidence>

Read the full file on GitHub · 209 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 7d ago Changed · -6 lines 223702bb56cd
  2. 11d ago First seen · 215 lines · 70 tokens per session scan A 29f0b796a080

Subscribe to this mod's changes

nobrainer-autoimprove is a skill published in the GitHub repository nobrainer-tech/nobrainer-tech-skills (5 stars, last pushed 6d ago), licensed MIT. It adds 70 tokens to every session and 2,412 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 2026-08-31.

Related

Other skills, from other repositories

multi-agent-loop

Turn the current repository into a supervised multi-agent coding loop — spawn parallel AI coding agents in isolated git worktrees with file ownership, a shared radar, and human approval gates, then run the loop (status, standup, approvals) from one place.

anshulixyz/multi-agent-loop-kit · 55 tokens

agent-communication-protocol

Open protocol for AI agent interoperability enabling standardized communication between agents, applications, and humans across different frameworks.

majiayu000/claude-skill-registry · 25 tokens

goal-lock

Agent Discipline Engine — lock the goal, run PLAN→DO→VERIFY→FINALIZE→OUTPUT loop, detect success masquerading. Triggers: '/goal-lock', '/goal-lock quick', 'goal lock', 'task harness'.

AlexZio00/sovereign-skills · 49 tokens

collab-audit

This skill should be used when the user types /collab-audit or requests AI collaboration diagnosis. Analyzes conversation history, artifacts, and work patterns to generate a 14-section AI Collaboration Audit. Behavioral analysis and feedback are bundled by design — separating them causes users to skip one, defeating…

AlexZio00/sovereign-skills · 179 tokens

code-autopsy

🔬 CODE AUTOPSY v7.2 "12 Questions + Quantified + Deployment Verdict + diff mode + CRITICAL hard cap + Factuality Gate".

AlexZio00/sovereign-skills · 3 tokens

doc-drift

Use this skill when the user wants to audit the memory and documents Claude Code loads into context — CLAUDE.md (user global + project + nested), MEMORY.md, @imports, .claude/skills, .claude/agents, .claude/commands, installed plugins — and detect four kinds of issues: outdated claims, mutually contradictory…

AlexZio00/sovereign-skills · 240 tokens