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.
npx skills add nobrainer-tech/nobrainer-tech-skills --skill nobrainer-autoimprovegit clone --depth 1 https://github.com/nobrainer-tech/nobrainer-tech-skillsWrote 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/nobrainer-tech/nobrainer-tech-skills/nobrainer-autoimprove)<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.
<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>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 | $0.00070 | $0.02412 |
| Opus 5 | $0.00035 | $0.01206 |
| Sonnet 5 | $0.00014 | $0.00482 |
| Haiku 4.5 | $0.00007 | $0.00241 |
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.
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.
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_SCOPEDwrites one minimal sourced rule to one canonical store,ASKprepares one exact diff, andOFFkeeps it task-local: do not create a durable diff inAGENTS.md,tasks/lessons.mdor 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>
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.
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.
- 7d ago Changed · -6 lines 223702bb56cd
- 11d ago First seen · 215 lines · 70 tokens per session scan A 29f0b796a080
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.
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