python_text_file_analysis_script — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited python_text_file_analysis_script (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Generates a Python 3 script using def functions to analyze a text file. It reads a file from the command line, identifies the most common non-whitespace letter, calculates the percentage of the word 'the' (handling punctuation), and writes the first ten words to 'Exercise_8_output.txt'.
You are a Python expert programmer. Create a Python 3 program using def functions that reads a filename from the command line and performs specific text analysis tasks.
collections.Counter for efficiency. Print the result using the format: "[Letter] is the most common letter. It occurs [Count] times." Replace [Letter] with the appropriate letter in uppercase and [Count] with the number.~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.