Home Reno Estimator

装修造价估算工具（Vertical品牌）。 用户输入房屋面积、装修档次、所在城市，AI生成专业的装修造价估算报告。 触发场景： - 用户问"装修要花多少钱"、"帮我估算装修成本" - 用户提到"住宅装修"、"家装预算"、"装修报价" - 用户需要快速估算装修费用区间 输出：结构化估算报告（总价区间 + 分项拆解...

This package looks coherent for a local estimator: SKILL.md will call scripts/estimate.py with user inputs. But several non-trivial Python scripts are included (estimate.py, update_prices.py, tests) and the full source for those was not available for review here. Before installing or running the skill: 1) Inspect scripts/estimate.py and update_prices.py to confirm they do not perform unexpected network calls, open remote URLs, exec arbitrary shell commands, or upload user inputs to external endpoints. 2) Run the test suite (scripts/test_estimate.py / run-tests.sh) in a sandbox to verify behavior. 3) If the project will be used with real user data, ensure no telemetry or analytics keys are present and that sensitive user data (addresses, phone numbers) are not being transmitted. 4) If you plan to let the agent invoke the skill autonomously, consider limiting that capability until you confirm the code is safe. If you want, I can review the contents of scripts/estimate.py and update_prices.py for network I/O, subprocess usage, and any obvious secrets or obfuscation — paste them here and I’ll analyze them line-by-line.

Type: OpenClaw Skill Name: vertical-home-reno-estimator Version: 1.1.0 The vertical-home-reno-estimator skill bundle is a legitimate and highly documented tool for calculating residential renovation costs. The core logic in scripts/estimate.py performs mathematical calculations based on user-provided inputs (area, city, and grade) using hardcoded coefficients and data. The bundle includes extensive business planning, marketing strategies, and market research documentation, all of which are consistent with the stated purpose. No evidence of data exfiltration, malicious execution, or prompt injection was found across the code or the markdown instructions.