← 返回 Skills 市场
wd041216-bit

Manusilized

作者 Da Wei · GitHub ↗ · v0.1.0 · MIT-0
cross-platform ⚠ suspicious
246
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install manusilized
功能描述
Enhances OpenClaw agents with real-time streaming, Markdown tool-call recovery, and extended support for latest reasoning models.
使用说明 (SKILL.md)

Manusilized: The OpenClaw Supercharger

Manusilized is not just a skill; it's a comprehensive upgrade for your OpenClaw agent, bringing enterprise-grade reliability and a "Manus-like" silky-smooth experience to open-source models (like Qwen, GLM, DeepSeek).

🌟 Key Features

  1. Incremental Streaming (Silky Smooth Experience)

    • No more staring at a blank screen while reasoning models think! Manusilized introduces real-time text_delta streaming for Ollama models.
    • You get a live typewriter effect, perfectly mirroring the behavior of closed-source giants.

  2. Markdown Tool-Call Fallback (The "Amnesia" Cure)

    • Open-source models often struggle with native JSON Function Calling, outputting tool calls embedded within Markdown code blocks.
    • Manusilized includes a fault-tolerant adapter that automatically detects, extracts, and corrects these embedded tool calls, drastically improving success rates.

  3. Extended Reasoning Model Support (2026 Ready)

    • Natively recognizes and optimizes for the latest generation of reasoning models: qwen3, qwq, glm-5, kimi-k2.5, deepseek-v3, marco-o1, and skywork-o.

🛠️ Installation & Setup

Since Manusilized modifies the core agents architecture of OpenClaw, it cannot be installed merely as a standard skill folder.

Option 1: The Official PR (Recommended)

We have submitted these upgrades as a core PR to the OpenClaw repository. 👉 View and Upvote the PR on GitHub

Option 2: Manual Patch

If you want to experience Manusilized immediately before the PR is merged, you can apply our patch directly to your OpenClaw installation:

  1. Clone the OpenClaw repository.
  2. Download the Manusilized patch files from our GitHub repository.
  3. Replace the corresponding files in src/agents/ (ollama-stream.ts and ollama-models.ts).
  4. Rebuild OpenClaw.

💡 Why Manusilized?

Our mission is to democratize the "perfect agent" experience. By bridging the gap between open-source models and enterprise frameworks, Manusilized ensures that anyone can run a top-tier AI agent locally or in the cloud without relying on expensive API keys.

Created by Manus AI.

安全使用建议
This package is internally consistent with its stated goal of patching OpenClaw's Ollama provider, but it modifies core agent code — treat it like any other high-impact patch. Before installing: (1) review the full patch files line-by-line (you saw a truncated file in the registry listing — inspect the rest locally), (2) verify the upstream repository and author (the registry metadata lacks a homepage and the source is 'unknown'), (3) test the patch in a disposable clone or non-production environment and keep the .bak files the installer creates, (4) prefer the official upstream PR merge over local patching, and (5) search the patched code for unexpected network endpoints or telemetry if you need high assurance. If you aren't comfortable auditing the TypeScript patches yourself, decline or wait for the official PR to be merged and reviewed.
功能分析
Type: OpenClaw Skill Name: manusilized Version: 0.1.0 The bundle includes a shell script (install-patch.sh) designed to overwrite core application files (ollama-stream.ts and ollama-models.ts) within the OpenClaw source directory. While the provided TypeScript patches appear to implement the stated features—such as improved streaming and Markdown-based tool-call fallbacks—the requirement to modify the core architecture via external scripts is a high-risk pattern. No explicit malicious logic, data exfiltration, or backdoors were identified in the provided code, but the installation method bypasses standard skill sandboxing.
能力评估
✓ Purpose & Capability
The name/description promise real-time streaming, Markdown tool-call recovery, and model heuristics; the package contains TypeScript patches (ollama-stream.ts, ollama-models.ts), a README, and an install script that copies those files into OpenClaw's src/agents. There are no unrelated env vars or binaries requested. This is coherent with the stated purpose.
✓ Instruction Scope
SKILL.md instructs the user to either wait for an upstream PR or manually replace two core files and rebuild. The included install-patch.sh performs local file backups and copies the patch files; there are no instructions to read unrelated system files, exfiltrate secrets, or call unexpected remote endpoints from the installer. The runtime instructions are limited to modifying OpenClaw core code, which is exactly what the skill claims to do.
ℹ Install Mechanism
There is no remote download/install spec — the skill ships patch files and an install script that copies them into the user's OpenClaw tree. This lowers supply-chain risk compared to fetching arbitrary code, but it is still an invasive change because it replaces core agent files. The install script does create .bak backups, which is good practice.
✓ Credentials
The skill does not request environment variables, credentials, or config paths. The code uses local API base URLs (Ollama native endpoints) and normal fetch calls; nothing in the files demands unrelated secrets or external credentials. This is proportionate to its function.
ℹ Persistence & Privilege
The skill does not set always:true and is user-invocable (defaults). However, applying the patch permanently modifies the agent runtime by replacing core files. That is inherently higher-privilege than a non-invasive skill, but it's an explicit, user-initiated change rather than an autonomously persistent modification.
如何使用
  1. 确保已安装 OpenClaw（本地或 Docker 部署）
  2. 在对话框中输入安装命令：/install manusilized
  3. 安装完成后，直接呼叫该 Skill 的名称或使用 /manusilized 触发
  4. 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v0.1.0
Manusilized 0.1.0 – OpenClaw Agent Upgrade - Introduces real-time incremental streaming with ‘typewriter’ effect for Ollama models. - Adds intelligent fallback for Markdown-embedded tool calls to improve compatibility with open-source models. - Expands native support for latest reasoning models including qwen3, qwq, glm-5, kimi-k2.5, deepseek-v3, marco-o1, and skywork-o. - Installation can be done via official OpenClaw PR or manual patch.
元数据
Slug manusilized
版本 0.1.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Manusilized 是什么？

Enhances OpenClaw agents with real-time streaming, Markdown tool-call recovery, and extended support for latest reasoning models. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 246 次。

如何安装 Manusilized？

在 OpenClaw 或 Claude Code 对话框中运行命令「/install manusilized」即可一键安装，无需额外配置。

Manusilized 是免费的吗？

是的，Manusilized 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。

Manusilized 支持哪些平台？

Manusilized 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。

谁开发了 Manusilized？

由 Da Wei（@wd041216-bit）开发并维护，当前版本 v0.1.0。

推荐 Skills
self-improving agent
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Clau...
⬇ 463283 · by pskoett
Skill Vetter
Security-first skill vetting for AI agents. Use before installing any skill from ClawdHub, GitHub, or other sources. Checks for red flags, permission scope, and suspicious patterns.
⬇ 259410 · by spclaudehome
Polymarket
Query Polymarket prediction markets. Check odds, find trending markets, search events, track price movements.
⬇ 232503 · by joelchance
Self-Improving + Proactive Agent
Self-reflection + Self-criticism + Self-learning + Self-organizing memory. Agent evaluates its own work, catches mistakes, and improves permanently. Use when...
⬇ 200423 · by ivangdavila
Github
Interact with GitHub using the `gh` CLI. Use `gh issue`, `gh pr`, `gh run`, and `gh api` for issues, PRs, CI runs, and advanced queries.
⬇ 191115 · by steipete
ontology
Typed knowledge graph for structured agent memory and composable skills. Use when creating/querying entities (Person, Project, Task, Event, Document), linkin...
⬇ 190156 · by oswalpalash

💬 留言讨论