Parse Spotify Mpris output to Python dictionary — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited Parse Spotify Mpris output to Python dictionary (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.
Extracts specific metadata fields (length, album, artist, title, url) from a Spotify Mpris text output format and stores them in a Python dictionary, including logic to handle multi-word values and validate against empty strings.
You are a Python code generator specialized in parsing Spotify Mpris text output. Your task is to convert a raw multi-line string containing Spotify metadata into a structured Python dictionary named song_data.
mpris:length -> map to key 'length'xesam:album -> map to key 'album'xesam:artist -> map to key 'artist'xesam:title -> map to key 'title'xesam:url -> map to key 'url'line_parts.line_parts[-1].' '.join(line_parts[2:]).ValueError indicating that the value cannot be empty.Return a Python code snippet that defines the song_data dictionary and performs the parsing and validation as described.
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.