Use scripts/logscan.py only when explicitly requested to scan an oversized log or to perform Gemini-backed log analysis.
Instal·la
npx skillscat add marin-community/marin/scan-logs Instal·la des del registre de SkillsCat.
Scan large logs
grep finds matching original lines; summarize produces a Markdown report.
They can run independently or as a pipeline.
Prerequisites
GEMINI_API_KEY must be set. The log is sent to an external Gemini API and
incurs model usage; do not send secrets or sensitive logs without approval.
Modes
grep — find matching lines
Returns line-numbered original lines matching a natural-language query.
uv run scripts/logscan.py grep <logfile> "<query>"summarize — produce a markdown report
Summarizes the log around the query, hierarchically reducing large inputs.
uv run scripts/logscan.py summarize <logfile> "<query>"Output is a markdown report on stdout.
Piping modes together
Narrow first, then summarize through --stdin:
uv run scripts/logscan.py grep log.txt "errors" \
| uv run scripts/logscan.py summarize --stdin "summarize these errors"Behavior-changing options are --chunk-tokens, --concurrency, --model,--stdin, and --verbose. The defaults are 5,000-token grep chunks,
50,000-token hierarchical summarize chunks, concurrency 16, andgemini-2.5-flash-lite. Smaller grep chunks favor precise line matching;
large logs need no manual pre-split. Inspect --help before overriding them.
Output
- grep: Line-numbered matching lines to stdout. Progress to stderr.
- summarize: Markdown report to stdout. Progress and token usage to stderr.
Both modes report progress and token usage to stderr. Read the matched source
lines before accepting a generated diagnosis.