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.
使用我的智能体安装
将此请求复制给你的智能体，其中包含权威 Skill 页面和清单。
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.你的智能体仍应展示其计划，并按安全策略请求必要确认。
Agent 可读资源
当 AI Agent、爬虫或脚本需要干净上下文，而不是读取完整页面时，请使用这些链接。
测试它
正在使用“caveman-learn”。 Review my report without editing anything.
预期结果:
Cave Score: 72. The largest reducible sink is project instructions. Recurring context ranks second. Load-bearing guidance remains unchanged.
正在使用“caveman-learn”。 Propose a safe offload for the repeated deployment notes.
预期结果:
- 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?
正在使用“caveman-learn”。 Apply the approved trim.
预期结果:
The approved section was trimmed. Tokens per turn decreased from 420 to 285. The original content and reversal steps are recorded.
安全审计
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.
风险因素
分享与引用此报告
分享版本化评估报告、中性徽章、嵌入卡片和引用。Skillstore 只报告证据，不判断该 Skill 是否安全。
复制报告链接
https://skillstore.io/skills/juliusbrussee-caveman-learn/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportMarkdown 徽章
[](https://skillstore.io/skills/juliusbrussee-caveman-learn?utm_source=security_passport_badge)HTML 徽章
<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>嵌入卡片
<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>学术引用 (APA · BibTeX · CFF)
APA 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 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 评分
评分依据 证据置信度: 中你能构建什么
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.
试试这些提示
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.
最佳实践
- 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.
避免
- 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.
常见问题
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?
开发者详情
许可证
MIT
Skillstore 修订
r1
版本提示
作者未声明版本。
引用
663bc75480aaf8c7b857fb3b51c35654a097de3d
维护新鲜度
2026/8/13
使用量
0 次下载 · 0 次浏览
文件结构