Big-Log Extractor & Summariser
Developer Official v1.0.1Extracts the signal from a large log deterministically — pull matching lines, dedupe, count — then has a model summarise only the small, unique result, cutting tokens dramatically.
by skrptiq
Sign in to import this skrpt into your workspace.
Sign inWhat's included 3 nodes
Big-Log Extractor & Summariser
Extract matching lines from a log, dedupe, count, then summarise the small unique set.
Summarise Errors
Summarises the small unique set of errors.
Summarise Errors
Summarises the unique error set.
Regex extract
built-in · offline · 0 tokensPull every match of a regular expression out of the text.
Sort lines
built-in · offline · 0 tokensSort the input lines, optionally reversed and/or de-duplicated.
Count
built-in · offline · 0 tokensCount lines, words, characters, or JSON-array elements in the input.
Requirements 1 service
- LLM Service
Security Passed
Detected
- Services: llm-service
- Permissions:
- Data Handling:
Version history 1 release
GH#820 — migrate the 3 builtin steps (extract-errors, dedupe-errors, count-unique) to the node-less `local.builtin` shape (#802 D1b): `id`/`input`/`context`, no backing skill nodes/edges; chained builtins take `input: {{steps.<prev-id>.output}}` (were from_step bindings); downstream refs `{{steps.Count Unique/Dedupe Errors.output}}` → `{{steps.count-unique/dedupe-errors.output}}`. Deterministic output unchanged. contents skills 4→1.
More from Developer
View all →Translation Pipeline
Translate content into multiple languages with quality review and comparative reporting
Sprint Wrapup Pipeline
Summarizes sprint retrospective notes and extracts action items for the next sprint
IOC Defanger
Extracts indicators of compromise from raw text and neutralises them deterministically, so they are safe to share, then drafts an analyst note.