Run auditable data cleaning cycles within the Skeptic framework.
npx skills add https://github.com/Filivignaga/skeptic --skill skeptic-clean
Please help me install this Agent Skill. Skill: skeptic-clean Source: https://github.com/Filivignaga/skeptic/tree/main/codex/skeptic-clean Command: npx skills add https://github.com/Filivignaga/skeptic --skill skeptic-clean
Skeptic auditable data cleaning: Use after formulate and protocol to build an auditable cleaning pipeline under protocol-defined data visibility, without widening the claim boundary or assuming predictive workflow defaults. Third stage of Skeptic. Use when Codex should run the Skeptic clean stage as a standalone skill, including requests like skeptic clean --auto to run this stage with autonomous cycle execution.
Run skeptic clean in your project context to execute the auditing cleaning cycles, or use --auto to run all cycles autonomously.
High-intent search queries and answers about installing and using this skill.
Auditable data cleaning enforces protocol-driven data visibility and prevents claim widening. It produces canonical YAML artifacts and a compact decision ledger to support full reproducibility and auditability of the pipeline.
Run skeptic clean in your project context to execute the auditing cleaning cycles. Use the --auto flag to run this stage with autonomous cycle execution and generate cycle evidence automatically.
Yes, you should run formulate and protocol beforehand. This skill operates as the third stage to build an auditable cleaning pipeline under protocol-defined data visibility without widening the claim boundary or assuming predictive workflow defaults.
Protocol-driven data cleaning restricts data visibility to protocol-defined boundaries. By producing canonical artifacts and a decision ledger, it ensures the cleaning process does not widen the claim boundary or assume predictive workflow defaults.
The cleaning pipeline produces canonical YAML artifacts, a compact decision ledger, and cycle evidence per cycle. These outputs support reproducibility and ensure the data cleaning decisions are fully auditable.
SSiertsemaGenerate a complete project scope statement with boundaries and change protocol.
JMTassyCross-references intention and action artifacts to identify mismatches for HELEN governance audits.
FilivignagaLock and execute Skeptic analyze contracts with auditable YAML and JSON outputs.
JEO-tech-aiAutomate data analysis workflows to extract insights from datasets.
