← Back to Skills Marketplace
chengcheng8632

Tender Bid Generator

by tender-cc · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
345
Downloads
0
Stars
0
Active Installs
1
Versions
Install in OpenClaw
/install tender-bid-generator
Description
Generate high-quality bid documents from tender documents. Use when users need to create bid proposals based on tender documents, including extracting tender...
Usage Guidance
This package appears coherent and limited to its stated purpose, but before installing or running it: (1) inspect the scripts yourself to confirm they won't process confidential files you don't want parsed; (2) install python-docx and PyPDF2 from official sources (pip) in a controlled environment; (3) run the parsers on non-sensitive sample files first to verify behavior; and (4) always manually review and legally verify generated bid documents (signatures, certificates, pricing) before submission.
Capability Analysis
Type: OpenClaw Skill Name: tender-bid-generator Version: 1.0.0 The tender-bid-generator skill bundle is designed to automate the extraction of requirements from tender documents and generate structured bid proposals. The included Python scripts (scripts/parse_tender.py and scripts/create_template.py) use standard libraries like PyPDF2 and python-docx to process local files and generate Word documents, with no evidence of data exfiltration, malicious execution, or harmful prompt injection.
Capability Assessment
Purpose & Capability
Name/description match the included assets and scripts: parse_tender.py extracts key fields from PDF/DOCX/TXT and create_template.py builds a Word template — all coherent with generating bid documents.
Instruction Scope
SKILL.md instructs the agent to run the included parsing and template scripts on a provided tender file path; the scripts only read the specified input file, extract text, and produce local outputs (JSON or a .docx). There are no instructions to read unrelated system paths, environment variables, or to send data externally.
Install Mechanism
This is an instruction-only skill with no install spec. It relies on Python libraries (python-docx and PyPDF2) but does not install them automatically — user/agent must install dependencies (pip). This is reasonable but worth noting: dependencies should be installed from official package sources.
Credentials
The skill declares no required environment variables, credentials, or config paths. The code likewise does not access secrets or external services.
Persistence & Privilege
The skill is not always-enabled and does not request elevated or cross-skill privileges. It writes only its own output file (assets/bid-template.docx) when run.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install tender-bid-generator
  3. After installation, invoke the skill by name or use /tender-bid-generator
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release: Generate bid documents from tender documents
Metadata
Slug tender-bid-generator
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Tender Bid Generator?

Generate high-quality bid documents from tender documents. Use when users need to create bid proposals based on tender documents, including extracting tender... It is an AI Agent Skill for Claude Code / OpenClaw, with 345 downloads so far.

How do I install Tender Bid Generator?

Run "/install tender-bid-generator" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Tender Bid Generator free?

Yes, Tender Bid Generator is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Tender Bid Generator support?

Tender Bid Generator is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Tender Bid Generator?

It is built and maintained by tender-cc (@chengcheng8632); the current version is v1.0.0.

💬 Comments