caveman-learn
Reduce Agent Token Usage
Large configuration files and repeated context increase token usage. This skill reviews Caveman reports and applies measured changes with individual approval.
自分のエージェントでインストール
このリクエストをエージェントにコピーしてください。正規の Skill ページとマニフェストが含まれています。
Review the Skillstore skill "caveman-learn" from https://skillstore.io/skills/juliusbrussee-caveman-learn.md and its manifest at https://skillstore.io/api/skills/juliusbrussee-caveman-learn/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.エージェントは引き続き計画を提示し、セキュリティポリシーで必要な確認を求める必要があります。
エージェントが読めるリソース
AI エージェント、クローラー、スクリプトがページ全体ではなく整理されたコンテキストを必要とする場合は、これらのリンクを使ってください。
テストする
「caveman-learn」を使用しています。 Review my report without editing anything.
期待される結果:
Cave Score: 72. The largest reducible sink is project instructions. Recurring context ranks second. Load-bearing guidance remains unchanged.
「caveman-learn」を使用しています。 Propose a safe offload for the repeated deployment notes.
期待される結果:
- Source hash matches the report locator.
- The compact pointer and recall cost are lower than repeated loading.
- Approve storing the block and replacing it with the proposed recall pointer?
「caveman-learn」を使用しています。 Apply the approved trim.
期待される結果:
The approved section was trimmed. Tokens per turn decreased from 420 to 285. The original content and reversal steps are recorded.
セキュリティ監査
安全All 17 static findings are false positives caused by documentation paths, Markdown backticks, test assertions, or bounded Caveman file access. The skill requires consent, integrity checks, measurement, and rollback before changing user configuration.
リスク要因
このレポートを共有・引用
バージョン付き評価レポート、中立的なバッジ、埋め込みカード、引用を共有できます。Skillstore は証拠を報告しますが、この Skill が安全かどうかは判断しません。
レポートリンクをコピー
https://skillstore.io/skills/juliusbrussee-caveman-learn/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportMarkdownバッジ
[](https://skillstore.io/skills/juliusbrussee-caveman-learn?utm_source=security_passport_badge)HTMLバッジ
<a href="https://skillstore.io/skills/juliusbrussee-caveman-learn?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/juliusbrussee-caveman-learn/security.svg" alt="Skillstore security assessment" loading="lazy"></a>埋め込みカード
<iframe src="https://skillstore.io/embed/skills/juliusbrussee-caveman-learn.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>学術引用 (APA · BibTeX · CFF)
APA形式の引用
juliusbrussee. (2026). caveman-learn security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/juliusbrussee-caveman-learn/audits/1BibTeX形式の引用
@techreport{juliusbrussee-juliusbrussee-caveman-learn-2026,
author = {juliusbrussee},
title = {caveman-learn security audit report (audit version 1)},
institution = {Skillstore},
year = {2026},
number = {1},
url = {https://skillstore.io/skills/juliusbrussee-caveman-learn/audits/1},
note = {Author version unspecified}
}CITATION.cff
cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "caveman-learn security audit report (audit version 1)"
version: "unspecified"
type: report
authors:
- name: "juliusbrussee"
date-released: "2026-08-12"
url: "https://skillstore.io/skills/juliusbrussee-caveman-learn/audits/1"
identifiers:
- type: other
value: "skillstore:juliusbrussee-caveman-learn:audit:1"
description: "Skillstore immutable audit report identifier"
Skillstore スコア
このスコアの理由 証拠の信頼度: 中作成できるもの
Trim project instructions
Review a large CLAUDE.md and approve only edits that reduce measured tokens per turn.
Offload recurring context
Move repeated session context into cavemem while preserving compact recall and exact recovery paths.
Review team token usage
Present ranked token sinks and separate actionable configuration findings from load-bearing context.
これらのプロンプトを試す
Run my Caveman learn report and explain the ranked token sinks without changing files.
Review reducible findings, show each proposed diff and measured impact, then ask before every edit.
Find recurring context suitable for cavemem, verify its hash, measure recall cost, and propose a reversible offload.
Process only my selected sinks, preserve load-bearing content, validate every recall path, and revert changes without confirmed token reduction.
ベストプラクティス
- Review the complete report before selecting changes.
- Approve each diff only after checking its measured impact.
- Test recall and exact recovery before accepting an offload.
回避
- Do not apply every recommendation without reviewing individual diffs.
- Do not remove load-bearing instructions to improve the score.
- Do not keep changes that fail to reduce tokens or preserve recall.
よくある質問
Does this skill edit files automatically?
What is a reducible finding?
What is recurring context?
How does cavemem offloading stay reversible?
Will it change load-bearing content?
How are savings validated?
開発者情報
作成者
juliusbrusseeライセンス
MIT
Skillstore リビジョン
r1
バージョンに関する注意
作者はバージョンを宣言していません。
参照
663bc75480aaf8c7b857fb3b51c35654a097de3d
メンテナンスの新しさ
2026/8/13
利用状況
0 ダウンロード · 0 閲覧
ファイル構成