Item detail
github.com

mrgoonie/maskara

mrgoonie/maskara is a secret redactor in RepoRadar's Developer Workflow section, holding Gold tier and a 'try now' verdict. Its strongest signal is workflow potential, scored 9.6 out of 10.

Score8.1
Popularity1.0
Riskconditional
TierGold
Score breakdown
Usefulness8.0
Novelty7.0
Momentum4.0
Maturity6.4
Open-source/build8.4
Evidence8.0
Workflow potential9.6
Setup ease8.8

Popularity is tracked separately. Support, ads, sponsorships, and tips never affect these signals.

Why it matters

Useful for developers and security teams who already know agents capture sensitive material in logs and need a concrete cleanup step instead of policy advice alone.

Who should use it

Developers who have already pasted secrets or internal data into coding-agent sessionsSecurity teams reviewing local agent log hygieneOrganizations adding cleanup steps after agent-heavy workflowsSelf-hosters who want an offline remediation tool rather than another cloud scanner

Who should skip it

Skip mrgoonie/maskara unless the captured evidence suggests it solves a problem you are actively working on.

About this signal

mrgoonie/maskara is tracked by RepoRadar as a secret redactor in the Developer Workflow section. It was first seen on 2026-06-30 and last updated on 2026-06-30. The current verdict is 'try now' with a Gold tier and easy setup difficulty. mrgoonie/maskara leads on workflow potential (9.6) and setup ease (8.8); its lowest signal is momentum (4.0), so factor that in before investing setup time. This page summarizes the evidence RepoRadar has captured from captured source metadata. The score, tier, risk label, and verdict on this page are never influenced by sponsorship, ads, or tips — they reflect only the usefulness, popularity, novelty, momentum, maturity, and evidence signals described in the RepoRadar methodology.

How this item is evaluated

RepoRadar assigned mrgoonie/maskara a composite score of 8.1 out of 10, placing it in the Gold tier. This score combines weighted sub-signals: usefulness (35%), novelty (18%), momentum (14%), maturity (10%), open-source/build quality (7%), evidence quality (6%), workflow potential (6%), and setup ease (4%). Popularity is tracked separately at 1.0 and never affects the composite score or tier. The risk label of 'conditional' reflects inherent user-impacting hazards, not generic novelty. Items with no risk flag may still require normal code review before production use.

Putting this into practice? Read How to evaluate an AI tool before you adopt it for the checklist behind this score.

Risk explanation

It operates on real coding-agent session logs that may already contain sensitive material, so first runs should stay on copied test logs until backup and retention behavior are understood; Redaction helps with local hygiene but does not undo secrets already exposed to upstream providers, so teams should still rotate anything the report surfaces.

Evidence links
Closest alternatives / related signals
securityclaude-codecodexgemini-clilogsprivacymit