Metagenomic Krona Chart
v1.0.0Analyze data with `metagenomic-krona-chart` using a reproducible workflow, explicit validation, and structured outputs for review-ready interpretation.
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byAIpoch@aipoch-ai
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
Name/description match the included artefacts: SKILL.md documents chart generation and scripts/main.py implements parsing and HTML sunburst output using pandas/plotly. Required capabilities (Python + pandas/plotly) are proportional to the stated purpose.
Instruction Scope
SKILL.md instructs running the packaged script and validating inputs; instructions are scoped to parsing input files, producing an HTML output, and running a non-destructive smoke check (python -m py_compile). It does not instruct reading unrelated system files or exfiltrating data.
Install Mechanism
No install spec is provided (instruction-only skill with a packaged script). Dependencies are typical Python packages (plotly, pandas) listed in requirements.txt; there are no downloads from arbitrary URLs or archive extraction steps.
Credentials
The skill requests no environment variables or credentials. All file and parameter inputs are supplied by the user at runtime (input/output paths, thresholds), which is appropriate for a local data-processing tool.
Persistence & Privilege
always:false and no special agent privileges are requested. The skill does not modify agent/system-wide settings or persist credentials. Autonomous invocation is allowed by platform default but is not combined with other red flags.
Assessment
This skill appears to do exactly what it claims: parse local Kraken2/TSV reports and produce an interactive HTML sunburst. Before installing or running: (1) inspect scripts/main.py yourself (already included) and confirm no network calls or unexpected file writes (none detected in this review); (2) run the smoke check: python -m py_compile scripts/main.py; (3) run the script on non-sensitive sample data first and in a sandbox if you have any concern about inputs; (4) install dependencies from the official PyPI packages (pip install pandas plotly). If you need the agent to run this skill autonomously, be aware autonomous execution is allowed by default — only grant that if you trust the agent's decision-making for handling your local files.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.