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inference-optimizer推理优化器

Agent Skill

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。

总安装

19,310

周安装

821

GitHub Stars

公开资料未说明

下载量

6,765
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

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

简介

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。

SKILL.md

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.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

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

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 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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