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Pandas Construction Analysis

v2.1.0

Comprehensive Pandas toolkit for construction data analysis. Filter, group, aggregate BIM elements, calculate quantities, merge datasets, and generate report...

⭐ 2· 1.5k·6 current·6 all-time
by@datadrivenconstruction
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
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medium confidence
✓
Purpose & Capability
Name and description match the requested capabilities: Pandas-based filtering, grouping, aggregation and reporting for construction/BIM data. The declared requirement is only python3 and the skill asks to work with user-supplied CSV/Excel/JSON files — these are proportional to the stated purpose. No unrelated binaries or credentials are requested.
✓
Instruction Scope
SKILL.md and instructions.md show only Pandas examples and runtime steps that operate on user-provided datasets (CSV/Excel/JSON) and produce reports. The guidance explicitly limits processing to data provided by the user. I saw no instructions to read arbitrary system files, access credentials, or transmit data to external endpoints.
✓
Install Mechanism
There is no install spec and no code files — the skill is instruction-only, which minimizes install-time risk. The only runtime dependency implied is Pandas (and python3). The skill does not download or extract code from external URLs. Note: it assumes a Python environment with Pandas available or that the environment operator will install it.
✓
Credentials
No environment variables, secrets, or external credentials are declared or required. The claw.json does list a filesystem permission (expected for reading user data), but that is consistent with a data-processing skill and no excessive credential access is requested.
✓
Persistence & Privilege
The skill is not always-enabled and uses the platform defaults for invocation. It does request filesystem access (claw.json), which is appropriate for reading input files; it does not request to modify other skills or system-wide settings.
Assessment
This skill appears coherent with its purpose: it shows Pandas examples and asks for user-provided data files. Before installing, confirm that you will run it in a controlled Python environment with Pandas (or be prepared to install Pandas). Only provide non-sensitive datasets (or remove PII) because the skill requires filesystem access to read files. If you need stronger isolation, run analyses in a sandboxed environment or virtual environment. If you want additional assurance, review the full SKILL.md/instructions.md for any hidden network calls or commands before using with sensitive data.

Like a lobster shell, security has layers — review code before you run it.

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License

MIT-0
Free to use, modify, and redistribute. No attribution required.
Termshttps://spdx.org/licenses/MIT-0.html

Runtime requirements

🐼 Clawdis
OSmacOS · Linux · Windows
Binspython3

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