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harrylabsj

Payment Term Negotiator

by haidong · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
101
Downloads
0
Stars
1
Active Installs
1
Versions
Install in OpenClaw
/install payment-term-negotiator
Description
Provides frameworks and templates for negotiating payment terms with structured analysis, actionable recommendations, and next steps guidance.
Usage Guidance
This skill appears to implement what it advertises (local analysis and templates) and does not request credentials or network access. However, the SKILL.md asserts 'no code execution' while the package includes an executable handler.py and unit tests. Before installing or enabling autonomous use: (1) manually review handler.py and tests (they look benign: local parsing and JSON output, no network/file writes); (2) if you do not want code executed, ensure the agent is not allowed to run local files or restrict execution in policy; (3) run the code in an isolated sandbox to confirm behavior; (4) verify the publisher/trust (source is unknown); and (5) if you expect a purely instruction-only skill, ask the author to remove executable code or make that explicit. These steps will reduce risk and clarify intent.
Capability Tags
cryptocan-make-purchases
Capability Assessment
Purpose & Capability
Name, description, and provided files align: this is a descriptive finance/negotiation helper that returns structured JSON and templates. Required env vars/binaries/configs are none, which is consistent with its stated purpose.
Instruction Scope
SKILL.md repeatedly states 'No real code execution' and 'No external API calls', but the bundle includes an executable handler.py and tests that will run locally if invoked. The Python code itself performs only local parsing and JSON generation (no network, no file writes), but the presence of executable code contradicts the 'instruction-only / no execution' claim and could be run by an agent or user.
Install Mechanism
No install spec is provided (instruction-only). No downloads or third-party packages are required. This is low-risk from an installation standpoint.
Credentials
The skill requests no credentials, environment variables, or config paths. The code does not access environment variables or external services. Requested privileges are minimal and proportionate.
Persistence & Privilege
always is false and agent invocation is default (allowed). The skill does not request persistent system presence or modify other skills/config — no elevated privileges detected.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install payment-term-negotiator
  3. After installation, invoke the skill by name or use /payment-term-negotiator
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of the Payment Term Negotiator skill. - Provides frameworks and templates for payment term negotiations. - Outputs include structured analysis, actionable recommendations, and next steps checklists. - Informational only: no real code execution, API calls, or financial transactions.
Metadata
Slug payment-term-negotiator
Version 1.0.0
License MIT-0
All-time Installs 1
Active Installs 1
Total Versions 1
Frequently Asked Questions

What is Payment Term Negotiator?

Provides frameworks and templates for negotiating payment terms with structured analysis, actionable recommendations, and next steps guidance. It is an AI Agent Skill for Claude Code / OpenClaw, with 101 downloads so far.

How do I install Payment Term Negotiator?

Run "/install payment-term-negotiator" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Payment Term Negotiator free?

Yes, Payment Term Negotiator is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Payment Term Negotiator support?

Payment Term Negotiator is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Payment Term Negotiator?

It is built and maintained by haidong (@harrylabsj); the current version is v1.0.0.

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