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Qizheng Oasis
作者
horizoncove
· GitHub ↗
· v1.0.0
· MIT-0
77
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install qizheng-oasis
功能描述
> 把 OASIS 三层架构(角色人格→社会演化→宏观涌现)融入七政体系。触发词:股票, A股, 基金, stock, skill, 优化。
安全使用建议
Key issues to consider before installing: (1) The code will attempt to call a third-party LLM (SiliconFlow) and will look for a SILICONFLOW_API_KEY in /workspace/.credentials or the environment — but the skill's documentation claims no LLM/zero token usage. If you do not trust SiliconFlow or do not want workspace data sent externally, do not provide that API key. (2) The dashboard JS contains remote file-fetch URLs referencing workspace file paths; verify whether those endpoints are trustworthy and that no sensitive files (credentials, secrets, proprietary data) will be exposed. (3) If you need the simulator but want to avoid external calls, run the included rule-based scripts (run_blueberry.py, run_simulation.py, analyze.py) in an isolated environment and inspect/modify generate_profiles.py to disable the LLM branch (it already has a fallback rule-based generator). (4) Ask the author to clarify why an external LLM is used, to declare required env vars/config paths, and to document what data is sent off-host. (5) Prefer running this skill in an isolated/containerized workspace with no sensitive secrets mounted until you confirm its network behavior.
功能分析
Type: OpenClaw Skill
Name: qizheng-oasis
Version: 1.0.0
The skill bundle provides a complex market and public opinion simulation engine. It is classified as suspicious primarily due to the inclusion of a large, unrelated 'iframe-highlight-injector' script in 'dashboard/index.html', which monitors user interactions (clicks, hovers, text content, and selectors) within iframes and reports them to the parent window. While this may be leftover code from a web-automation template, it represents a significant privacy risk and is not aligned with the stated purpose of market deduction. Additionally, multiple scripts (e.g., 'generate_profiles.py', 'run_simulation.py') access sensitive API credentials from '/workspace/.credentials/siliconflow-api.txt', which is a high-risk behavior, although it appears to be used legitimately for calling the SiliconFlow API.
能力标签
能力评估
Purpose & Capability
The package claims to be a self-contained market/crisis simulator, and the SKILL.md/HTML state '规则生成,无LLM调用,零Token消耗', but multiple included scripts (generate_profiles.py, run_crisis.py, others) make outbound calls to a third-party LLM service (SiliconFlow) and attempt to read a local credential file (/workspace/.credentials/siliconflow-api.txt) or environment variable SILICONFLOW_API_KEY. The skill did not declare any required env vars or credential paths, so the external-API usage is not proportional to the declared purpose/requirements.
Instruction Scope
SKILL.md instructs running local Python scripts and presents role/profile generation as rule-based. In reality generate_profiles.py contains code to POST prompts (including blueprint data and scenario text) to an external LLM endpoint, sending potentially sensitive workspace content. The dashboard JS also contains remote file_fetch URLs pointing at agent-cdn.minimaxi.com which reference workspace file paths. The instructions do not warn about network calls, credential reads, or transmitting simulation inputs/outputs off-host.
Install Mechanism
There is no install spec (instruction-only install), which lowers installer risk. However, the skill bundle includes many executable Python files that will run locally and perform network I/O; nothing is pulled at install time, but code on disk will perform external HTTP requests when executed.
Credentials
The skill declares no required env vars or config paths, yet multiple scripts read /workspace/.credentials/siliconflow-api.txt and call os.environ.get('SILICONFLOW_API_KEY'). Asking for (or using) an external API key is reasonable if LLM profile generation is intended, but the key/cfg access is not declared and the SKILL.md explicitly claims zero token usage — this mismatch is a red flag. The JS dashboard's remote file_fetch URLs reference workspace file paths (possible exfiltration vector).
Persistence & Privilege
always is false and there's no installer forcing persistent inclusion. The skill doesn't request system-wide changes in the provided manifests. It writes/reads files under /workspace/data and /workspace/skills/qizheng-oasis (normal for a skill), and does not attempt to modify other skills' configs.
如何使用
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install qizheng-oasis - 安装完成后,直接呼叫该 Skill 的名称或使用
/qizheng-oasis触发 - 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
v1.0.0
**Major v3.1–v3.2 Release: Integrated advanced propagation, crisis grading, and formula modules for more accurate market and public opinion simulation.**
- Added SIR/SEIR and logistic curve (S型) models for precise prediction of opinion propagation and crisis lifecycle.
- Introduced quantifiable crisis grading matrix based on R₀/β/γ parameters with response urgency recommendations.
- Enhanced time-effectiveness analysis of crisis response with measurable impact on heat and β reduction.
- Integrated composite heat/decay formulas, IC/LT diffusion models, and WeChat DFTC hotness prediction for robust trend forecasting.
- Embedded multilevel fission, viral K index, and outlier pre-warning matrix for explosion/viral event simulation.
- Improved data calibration with benchmarks from Xinhuanet, Qingbo, and BaiFenDian decay models.
- Provided platform-specific sample formulas for comprehensive and adaptable simulations.
元数据
常见问题
Qizheng Oasis 是什么?
> 把 OASIS 三层架构(角色人格→社会演化→宏观涌现)融入七政体系。触发词:股票, A股, 基金, stock, skill, 优化。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 77 次。
如何安装 Qizheng Oasis?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install qizheng-oasis」即可一键安装,无需额外配置。
Qizheng Oasis 是免费的吗?
是的,Qizheng Oasis 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Qizheng Oasis 支持哪些平台?
Qizheng Oasis 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 Qizheng Oasis?
由 horizoncove(@horizoncove)开发并维护,当前版本 v1.0.0。
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