improve

improve is a skill for Claude Code, Codex from the-hugin/RSIm. It costs 2 tokens per session (3,190 once invoked), scanned A, original, no licence file.

A skill that updates other skills using a reflection file and a correction supplied by the user.

In plain words
What is it for?
Use it after adding a correction to /.claude/reflection.md to propose and apply skill changes with approval.
Why use it?
It provides a defined step for applying lessons from past problems to the skills that caused them.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/the-hugin/rsim/improve
Any agent
npx skills add the-hugin/RSIm --skill improve
Clone the repo
git clone --depth 1 https://github.com/the-hugin/RSIm

Made for: Claude Code, Codex.

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 improve

README.md
[![agentmods](https://agentmods.dev/badge/skills/the-hugin/rsim/improve.svg)](https://agentmods.dev/skills/the-hugin/rsim/improve)
Your own site
<a href="https://agentmods.dev/skills/the-hugin/rsim/improve"><img src="https://agentmods.dev/badge/skills/the-hugin/rsim/improve.svg" alt="Measured on agentmods" height="20"></a>
Per session 2 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,190 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.00002 $0.03190
Opus 5 $0.00001 $0.01595
Sonnet 5 $0.00000 $0.00638
Haiku 4.5 $0.00000 $0.00319

Measured 5d ago against content hash fa2262ffe1c1, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

improve 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 5d 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.

skills/improve/SKILL.md · 362 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. 5d ago First seen · 362 lines · 2 tokens per session scan A fa2262ffe1c1

Subscribe to this mod's changes

improve is a skill published in the GitHub repository the-hugin/RSIm (2 stars, last pushed 5mo ago), with no licence file. It adds 2 tokens to every session and 3,190 once invoked, about $0.0000 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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