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Install in OpenClaw
/install sfe-data-viewer
Description
SFE数据查询与分析工具，用于查询医药销售效能数据
Usage Guidance
This skill appears to actually provide SFE query scripts and API docs, but it contains a risky runtime step: if the auth helper (cms-auth-skills) is missing the SKILL.md tells the agent to run npx/clawhub to install it — including a fallback GitHub URL. Before installing or enabling this skill:
- Verify the source of cms-auth-skills (review its repository and verify maintainers) rather than allowing automatic npx/GitHub install.
- Ask the skill author to declare required binaries (python, node/npx, clawhub) and to provide a formal install spec with trusted release URLs or checksums.
- Review the bundled Python scripts (scripts/) yourself or in an isolated environment to ensure they only call the documented erp-web.mediportal.com.cn endpoints and do not exfiltrate data elsewhere.
- Confirm how the appKey is retrieved/stored by cms-auth-skills (avoid trusting opaque credential-handling code). Consider providing credentials manually instead of allowing remote installers to obtain/store them.
- If you must run it, do so first in an isolated environment (sandbox/container) and do not run the npx install/fallback GitHub command until you’ve inspected that code.
Because of the undeclared remote-install instructions and metadata mismatches, proceed cautiously and get the above clarifications or code review before trusting this skill with sensitive data.
Capability Analysis
Type: OpenClaw Skill
Name: sfe-data-viewer
Version: 1.0.1
The skill bundle is a legitimate data retrieval tool for Sales Force Effectiveness (SFE) in the pharmaceutical industry. It contains Python scripts that interface with APIs at mediportal.com.cn to query zone, product, and project data. While the scripts exhibit a security vulnerability by disabling SSL verification (verify=False in multiple files like scripts/sfe-user/zone.py), this appears to be a common development oversight rather than intentional malice. The bundle includes a specialized 'TOON' encoder (scripts/common/toon_encoder.py) to optimize LLM token consumption, and its instructions in SKILL.md are consistent with standard agent-based task automation and dependency management.
Capability Assessment
Purpose & Capability
The skill claims to be a read-only SFE data query/analysis tool and includes many Python scripts and OpenAPI docs that align with that purpose. However, the SKILL.md requires installing and using 'cms-auth-skills' (for appKey handling) via npx/clawhub if missing — yet the package metadata declares no required binaries (node/npx, python) or install steps. The scripts are Python but Python is not declared as a required binary. This mismatch between claimed requirements and actual runtime steps is an incoherence.
Instruction Scope
The runtime instructions mandate executing bundled Python scripts (not calling APIs directly) and say to read cms-auth-skills/SKILL.md for authentication. They also allow reading user files/URLs to build inputs. Critically, they instruct to run npx/clawhub to install cms-auth-skills from npm or GitHub if not present — a remote-install step that pulls and runs code outside the declared package. The instructions thus reach beyond simple API-doc reading into executing remote installs and local scripts, which increases risk.
Install Mechanism
There is no formal install spec, but SKILL.md instructs use of 'npx clawhub@latest install cms-auth-skills --force' and a fallback GitHub URL. Installing code via npx or from an arbitrary GitHub repo is higher risk (arbitrary code download/run). The skill does not declare Node/npx as required, nor provide hashes or trusted release URLs for dependencies, making the remote-install guidance disproportionate and potentially unsafe.
Credentials
The APIs documented require an 'appKey' header; the skill delegates appKey preparation to cms-auth-skills rather than listing env vars itself. No environment variables or secrets are declared in metadata, which is coherent in one sense, but the dependency on an external auth skill means secret handling is delegated and not visible here. That lack of explicit credential declaration is a transparency concern (you can't easily audit how the appKey is obtained/stored).
Persistence & Privilege
The skill does not request always:true, does not declare system config paths or permanent privileges, and is user-invocable only. There is no automatic forced installation listed. Autonomous invocation is allowed (platform default) but not combined with other high-privilege flags.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install sfe-data-viewer - After installation, invoke the skill by name or use
/sfe-data-viewer - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.1
更新技能描述和文档
v1.0.0
首次发布：SFE数据查询与分析工具，用于查询医药销售效能数据
Metadata
Frequently Asked Questions
What is Sfe Data Viewer?
SFE数据查询与分析工具，用于查询医药销售效能数据. It is an AI Agent Skill for Claude Code / OpenClaw, with 114 downloads so far.
How do I install Sfe Data Viewer?
Run "/install sfe-data-viewer" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Sfe Data Viewer free?
Yes, Sfe Data Viewer is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Sfe Data Viewer support?
Sfe Data Viewer is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Sfe Data Viewer?
It is built and maintained by spzwin (@spzwin); the current version is v1.0.1.
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