Log structured proof entries to .proof/session_log.jsonl for audit trails.
npx skills add https://github.com/DazedtilDawn/operators-edge --skill edge-log
Please help me install this Agent Skill. Skill: edge-log Source: https://github.com/DazedtilDawn/operators-edge/tree/main/codex/skills/edge-log Command: npx skills add https://github.com/DazedtilDawn/operators-edge --skill edge-log
This skill provides an auditable trail by logging proof of significant actions to the session log, ensuring accountability and traceability for every step.
After completing a significant action, call edge-log to record a new proof entry in the session log.
High-intent search queries and answers about installing and using this skill.
An audit trail logs proof of completed work to a session log, ensuring accountability. You append structured JSON entries with timestamps, actions, and outcomes to a session_log.jsonl file to maintain a traceable development history.
Logging proof of file changes and tests requires appending structured entries to a JSONL file. You record the timestamp, action type, modified files, and test outcomes after significant workflow steps to create an immutable history for verification.
Manually write structured session logs by calling a logging utility after completing significant actions. This appends JSON entries with timestamp, type, action, files, outcome, and details to a .proof/session_log.jsonl file, creating a directory if needed.
The session log uses a defined JSON schema for timestamp, type, action, files, outcome, and details. Writing entries to JSONL format enables easy ingestion by downstream tooling for auditing and debugging purposes.
Record entries in a session log after completing significant actions across workflow steps, file changes, and tests. Apply logging at these checkpoints to maintain a traceable history and ensure accountability for every development action.
Using JSONL format for an audit trail appends structured JSON objects line by line, preserving an immutable history. This format enables easy ingestion by downstream tooling compared to unstructured standard log files.
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