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Install in OpenClaw
/install zh-semantic-enhancer
Description
中文语义理解增强技能。通过多层语义解析、文化上下文识别、方言适配、歧义消解等模块,提升OpenClaw对中文用户意图的理解准确率,支持成语/俗语/网络用语/行业术语的智能识别,非简单翻译型处理。
Usage Guidance
What to consider before installing:
- Inconsistency: the package declares no required environment variables, but index.py reads SKILLPAY_API_KEY and SKILLPAY_SKILL_ID. Ask the author why these creds are not documented and what SKILLPAY does. If you won't use paid features, verify that no network calls will be made.
- Persistence: the skill creates files under your home (~/.openclaw/...) to track trials, credits and subscriptions. If you want no on-disk traces, do not install or run it without review.
- Self-modifying code: the revenue optimization module writes new Python files into the skill's scripts/ directory (it can add pricing/premium/credit modules). Confirm whether that module runs automatically; if it can be invoked by the agent, it could change installed code. Prefer to run this skill in a sandbox or VM until you trust it.
- Billing / telemetry: SKILL.md includes a BILLING_URL and an EVM donation address; clarify whether any telemetry, payment verification, or outgoing network traffic occurs. Although no explicit HTTP calls are present in the provided code, the presence of billing constants is a red flag that should be explained.
- Provenance and versioning: source/homepage are unknown, metadata versions differ inside files (1.2.0 vs SKILL.md 1.3.0 vs index.py VERSION 1.1.0), and marketing text is duplicated and inconsistent (100 vs 200 trial calls). This sloppy packaging lowers confidence in the publisher.
Recommended next steps before use:
1) Ask the author for a homepage, source repository, and explanation of SKILLPAY interactions and whether any network calls occur. 2) If you must test, run inside an isolated environment (sandbox/container) and monitor file system and network activity. 3) Consider removing or auditing the revenue_optimize module and confirm no automatic invocation will run it. 4) If you need guaranteed no persistence or no outbound network, do not install this skill until those guarantees are provided.
If you want, I can produce a short checklist/questions you can send to the developer or generate a minimal patched version that disables on-disk writes and revenue-optimization routines for safe local testing.
Capability Analysis
Type: OpenClaw Skill
Name: zh-semantic-enhancer
Version: 1.2.0
The bundle includes a 'self-evolution' engine (scripts/revenue_optimize.py) that programmatically overwrites other Python scripts and the SKILL.md file to inject monetization and credit-system logic. While the injected code appears focused on tiered pricing rather than traditional malware, self-modifying code is a high-risk behavior that can bypass initial security audits. Additionally, the skill performs unauthorized local filesystem persistence by creating hidden directories in the user's home folder (~/.openclaw/) to track usage and credits.
Capability Assessment
Purpose & Capability
Name/description (Chinese semantic enhancer) match the included modules (tokenizer, expression detection, intent enhancer, sentiment, pricing/credits). However metadata and README/ SKILL.md contain marketing/billing content (SkillPay, EVM address) that extends beyond pure NLP. The presence of pricing, credit and subscription modules is plausible for a paid skill, but the skill declares no required credentials or config even though code reads SKILLPAY_API_KEY and SKILLPAY_SKILL_ID — this mismatch is unexpected.
Instruction Scope
SKILL.md claims 'local processing' and 'no networking', but index.py defines a BILLING_URL ('https://skillpay.me/api/v1/billing') and reads environment variables SKILLPAY_API_KEY and SKILLPAY_SKILL_ID (though no code path in the provided files actually posts to the billing URL). The skill writes persistent files under the user's home (~/.openclaw/...) for trial and credits. The revenue optimization module contains routines that write new code files into the skill's scripts directory (self-modification). These behaviors expand scope beyond simple text processing and are not documented/justified clearly in SKILL.md.
Install Mechanism
This is an instruction-and-source bundle with no external install spec; there is no remote download step. All code is provided in the package — lower install risk than arbitrary downloads. Dependencies (jieba, hanlp) are declared in package.json which is reasonable for Chinese NLP. However the package contains code that writes files into the skill directory and the user's home directory at runtime, which is a form of persistence that should be considered.
Credentials
Declared requirements: none. Actual code reads environment variables SKILLPAY_API_KEY and SKILLPAY_SKILL_ID and uses those to toggle demo vs paid behavior. Because the skill declares no required env vars, this is an explicit inconsistency. In addition, the EVM address and billing URL suggest payment endpoints and economic telemetry; no credentials are declared for them. The code persists data to ~/.openclaw/... (trial, credits, subscriptions) which is additional configuration access not described in the metadata.
Persistence & Privilege
The skill creates persistent files under the user's home (~/.openclaw/skill_trial, ~/.openclaw/zh_semantic_credits, ~/.openclaw/subscriptions), modifies files under its own scripts/ directory via the RevenueOptimizationEngine (it writes pricing/premium/credit modules), and thus can alter its own behavior on disk. While writing its own files can be legitimate for a self-updating monetized skill, self-modification combined with undeclared env access and unknown provenance increases risk — especially because agent invocation is allowed and the revenue optimization code could be run at runtime to change the skill.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install zh-semantic-enhancer - After installation, invoke the skill by name or use
/zh-semantic-enhancer - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.2.0
zh-semantic-enhancer v1.2.0
- Added a new script: scripts/subscription.py
- Updated SKILL.md with promotional details, new pricing tiers, and bonus offers for subscription packages
- Clearly highlighted limited-time discounts and expanded free trial quota
- No changes to semantic functionality; changes are documentation and subscription-related
v1.1.0
New pricing, credit, and enterprise features added.
- Introduced detailed pricing tiers: Free, Basic, Pro, Enterprise, with feature breakdowns
- Added credit package options for flexible usage and cost savings
- Incorporated enterprise-specific features such as custom dictionaries, API integration, and SLA
- New scripts added for pricing, credit system, premium, enterprise features, and revenue optimization
- Documentation updated to reflect all new plans and usage options
v1.0.0
zh-semantic-enhancer v1.0.0
- 首次版本发布
- 实现多层中文分词与实体识别
- 增加歧义消解能力
- 支持成语、俗语、网络用语和行业术语识别
- 加强中文意图结构化处理
- 免费试用 100 次,支持本地数据安全处理
Metadata
Frequently Asked Questions
What is Zh Semantic Enhancer?
中文语义理解增强技能。通过多层语义解析、文化上下文识别、方言适配、歧义消解等模块,提升OpenClaw对中文用户意图的理解准确率,支持成语/俗语/网络用语/行业术语的智能识别,非简单翻译型处理。 It is an AI Agent Skill for Claude Code / OpenClaw, with 259 downloads so far.
How do I install Zh Semantic Enhancer?
Run "/install zh-semantic-enhancer" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Zh Semantic Enhancer free?
Yes, Zh Semantic Enhancer is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Zh Semantic Enhancer support?
Zh Semantic Enhancer is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Zh Semantic Enhancer?
It is built and maintained by joe (@andyxcg); the current version is v1.2.0.
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