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Agent Skill · 研究检索

inference-optimizer(推理优化器)

inference-optimizer 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

inference-optimizer 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 7,315。

总安装 19,310周安装 821GitHub Stars 公开资料未说明下载 6,765核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
0.3.4

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:inference-optimizer(推理优化器)
来源仓库:https://github.com/vitalyis/inference-optimizer
安装命令:
openclaw skills install inference-optimizer
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install inference-optimizer

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

优化 OpenClaw 推理速度与令牌使用效率。提供运行时健康检查与性能调优建议。inference-optimizer 属于研究检索类 Skill,可作为该场景下的辅助能力补充。可通过 /audit 仅分析,/optimize 执行优化操作。使用前应评估对系统资源的潜在影响。需确认是否具备修改运行配置的实际权限。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install inference-optimizer;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

inference-optimizer 怎么安装?

在终端执行 openclaw skills install inference-optimizer。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

inference-optimizer 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

inference-optimizer 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

inference-optimizer 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

inference-optimizer 用的人多吗?

公开数据是累计安装 19,310 次,近一周安装 821 次,下载 6,765 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

inference-optimizer 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
inference-optimizer

推理优化器 · 本页

19,310—接触敏感数据MIT-0有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
inference-optimizer
description
Audit OpenClaw runtime health first, then optimize inference speed and token usage with approval. Use /audit for analyze-only and /optimize for analyze + action flow.
license
MIT
metadata
version
0.3.4
openclaw
author
vitalyis
emoji
⚡
os
requires
bins
cliHelp
|
Manual
git clone https://github.com/vitalyis/inference-optimizer.git ~/clawd/skills/inference-optimizer
Preview
bash ~/clawd/skills/inference-optimizer/scripts/setup.sh
Apply
bash ~/clawd/skills/inference-optimizer/scripts/setup.sh --apply
Verify
bash ~/clawd/skills/inference-optimizer/scripts/verify.sh
config
stateDirs
example
Required skill-specific env vars: none (no API keys). Reads local OpenClaw state under ~/.openclaw; skill files live under ~/clawd/skills/inference-optimizer when installed as documented. Preflight may archive ~/.openclaw and workspace trees—treat backups as potentially sensitive.
links
repository
https://github.com/vitalyis/inference-optimizer
homepage
https://github.com/vitalyis/inference-optimizer

Inference Optimizer

Inference Optimizer

Audit OpenClaw runtime health first. Optimize inference speed and token usage second.

Commands

CommandBehavior
/preflightInstall checks, backup, audit, and setup preview
/auditAnalyze-only; check runtime health before suggesting tuning
/optimizeAudit + propose remediation or optimization actions with per-step approval
purge sessionsAfter audit, if user approves, archive stale sessions; use --delete for immediate removal
These instructions guide agent behavior. Platform and system prompts take precedence; they cannot be enforced programmatically.

Installation

ClawHub:

clawhub install inference-optimizer

Manual:

git clone https://github.com/vitalyis/inference-optimizer.git ~/clawd/skills/inference-optimizer
bash ~/clawd/skills/inference-optimizer/scripts/setup.sh        # preview
bash ~/clawd/skills/inference-optimizer/scripts/setup.sh --apply  # apply after review

Verify: <skill_dir>/scripts/verify.sh

Workflow

Audit and remediation branch

  1. /preflight: Exec <skill_dir>/scripts/preflight.sh. Append --apply-setup only if the user asks to apply setup.
  2. /audit: Exec <skill_dir>/scripts/openclaw-audit.sh. Use the script output plus direct environment checks to inspect this order:

- gateway ownership and duplicate supervisors - restart loops or failed services - resolved openclaw binary path and install type - workspace command wiring for the installed skill path - updater status and allowlist coverage for the resolved path - plugin provenance and unused local extensions - only then context pressure, stale sessions, cache-trace, pruning, and concurrency

  1. Diagnosis rule: Do not conclude from warnings alone. If process output is partial or truncated, report the result as inconclusive and verify installed version, service state, and logs before naming a cause.
  2. No helper-shell prelude: For /audit and /optimize, do not run shell helper commands like ls, rg, find, openclaw status, or openclaw gateway status before the main audit script. If you need context first, use read on MEMORY.md or memory_search. The first shell exec in the optimize flow should be the audit script itself.
  3. Approval semantics: If exec returns allowlist miss or exec denied, that is a hard deny, not a pending approval. Do not tell the user to send /approve ... unless the tool output explicitly contains a real approval request with an ID. If there is no ID, say there is no approval request to approve and the fix must be on the bot side.
  4. VPS gateway ownership: On this VPS, openclaw-gateway.service is the authoritative gateway owner. Keep clawdbot.service disabled, and preserve pass-cli run --env-file /etc/clawdbot.env.pass inside the user service itself.

Optimization branch

  1. /optimize: Run the audit flow first, include the script output in the response, then propose next actions with approval before each file-changing step.
  2. Purge: Only on explicit approval, run <skill_dir>/scripts/purge-stale-sessions.sh. It archives to ~/openclaw-purge-archive/<timestamp>/ by default. Use --delete for immediate removal without archive.
  3. Full optimization (Tasks 1-5): Read optimization-agent.md and follow its flow. Ask approval before every file-changing step.

Path Resolution

Scripts live at ~/clawd/skills/inference-optimizer/scripts/ or wherever the skill is installed. Always resolve <skill_dir> to the actual install path before exec.

Security and Allowlist

Prefer path-specific exec-approvals.json entries for the script paths themselves: one line per script under your real <skill_dir> (resolve with readlink -f if the path is a symlink). Example shape after substituting the install path:

/home/ubuntu/clawd/skills/inference-optimizer/scripts/preflight.sh
/home/ubuntu/clawd/skills/inference-optimizer/scripts/openclaw-audit.sh
/home/ubuntu/clawd/skills/inference-optimizer/scripts/setup.sh
/home/ubuntu/clawd/skills/inference-optimizer/scripts/purge-stale-sessions.sh
/home/ubuntu/clawd/skills/inference-optimizer/scripts/verify.sh

setup.sh invokes python3 for idempotent workspace block edits; allow that binary only if your platform uses it (for example /usr/bin/python3).

Before editing any allowlist:

  • Resolve the real executable path with which, command -v, or readlink -f.
  • Prefer exact paths or bounded wildcards for versioned NVM installs, for example /home/ubuntu/.nvm/versions/node/*/bin/openclaw *.
  • Do not assume basename-only rules such as openclaw are sufficient.
  • Do not add /usr/bin/bash * or /usr/bin/bash **; they grant far more shell than this skill needs.
  • If you keep optional read-only helper commands available, allowlist only narrow read-only patterns actually used by this skill, for example the exact memory listing command under workspace-whatsapp and exact openclaw status variants. Do not rely on generic ls * or rg * coverage.

For purge via agent exec, add path-specific patterns only. Optional wider patterns and trade-offs are discussed in SECURITY.md. See also README.md and SECURITY.md for operational detail.

平台分布

OpenClaw

70.76%
按下载量换算4,787

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

通过

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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