Sales Engineer

Analyzes RFP/RFI responses for coverage gaps, builds competitive feature comparison matrices, and plans proof-of-concept (POC) engagements for pre-sales engi...

This skill appears coherent for sales engineering tasks and includes local Python scripts and many templates. Before installing or running it: 1) Manually inspect the three Python scripts (scripts/rfp_response_analyzer.py, scripts/competitive_matrix_builder.py, scripts/poc_planner.py) for any network calls, subprocess execution, or reads of system paths you don't expect. 2) Note SKILL.md shows 'python' commands but the skill did not declare a required 'python' binary—ensure you run them in a controlled environment with a known Python interpreter. 3) Run the scripts first in an isolated sandbox/container or on a non-production machine with sample data. 4) If the scripts will process customer data, confirm they do not exfiltrate secrets or send data to unknown endpoints; check for any HTTP requests, uploads, or hard-coded endpoints. 5) Because the source and homepage are unknown, treat the package as untrusted until code review is complete. If you don't want to review the code yourself, ask a security or engineering colleague to audit the scripts before using them with real customer data.

Type: OpenClaw Skill Name: sales-engineer Version: 2.1.1 The sales-engineer skill bundle is a legitimate set of tools and instructions designed to assist with RFP analysis, competitive positioning, and POC planning. The included Python scripts (rfp_response_analyzer.py, competitive_matrix_builder.py, and poc_planner.py) perform standard data processing on local JSON files and lack any high-risk behaviors such as network calls, sensitive file access, or dangerous execution sinks. The SKILL.md file provides a clear, professional workflow for an AI agent without any evidence of prompt injection or malicious intent.