publisher profilecommunity

galbria

galbria publishes 5 tracked skills in DriftBot.

Catalog decision: Mixed but usable publisher: there is meaningful evidence here, but reputation still needs to be earned skill by skill.
5
indexed skills
59
average score
0
manual reviews
0
high-risk labels
catalog evidence snapshotno baseline-v3 receipts yetno functionality-v2 receipts yetno manual reviews yetno high-risk labels
Read this row as a catalog snapshot: runtime coverage, deeper follow-on coverage, human review presence, and high-risk concentration before you compare individual skills.

πŸ“Š Runtime quality summary

Runtime read: stronger publisher evidence means more than broad coverage β€” look for low current failure pressure, some functionality depth, and stale-runtime counts that stay under control.
eligible runtime skills: 2latest touch: n/ano current regressions
Baseline coverage
00% of eligible skills have baseline-v3 receipts
Baseline pass rate
0%0 passed Β· 0 currently failing
Functionality coverage
00% of baseline-cleared skills have functionality-v2
Fixture-backed rate
0%0 functionality-v2 rows have richer fixture/example proof
Stale baseline rows
0baseline receipts older than 7 days
Functionality failures
0current failed functionality-v2 rows in the latest publisher state

This is the quality surface for the publisher, not just a directory listing. It shows how much of the catalog has real receipts, how often those receipts are passing, whether richer fixture-backed proof exists, and whether the publisher currently carries regressions, reproduced failures, or stale runtime evidence.

Latest runtime touch: n/a. Publisher-level summaries do not replace skill-level review, but they do make reputation more earned: a publisher with broader coverage, stronger pass rates, and fixture-backed proof looks different from one living on thin smoke tests.

If you want the system-wide view, open the runtime dashboard. If you want the scoring logic, read the methodology.

No runtime receipts for this publisher yet.

Skills from this publisher

Showing 5 of 5 skills

Label mix on this page

Trusted: 2Use Caution: 0Insufficient Evidence: 3High Risk: 0

This distribution is a quick provenance cue, not a verdict. A publisher can have a mix of safer and riskier skills, so the useful move is to compare patterns here and then open the individual scorecards.

Publisher profiles are best for spotting catalog patterns: repeated shell access, common external services, whether manual review exists, and whether higher-risk labels are isolated or widespread.

On this page: 2 source-scanned, 3 catalog-only, and 0 manually reviewed entries in the current slice.

If you want the scoring logic, read the methodology. If you want the broader landscape, go back to the full index.

bria-ai

galbria Β· vsource-scanned
62
overall

Generate, edit, and transform images with commercially-safe AI models. Create images from text, edit by natural language instruction, remove backgrounds (transparent PNG), replace backgrounds, add/replace/remove objects, inpaint, outpaint, upscale (2x/4x), enhance quality, restyle (oil painting, anime, 3D), relight, reseason, restore old photos, colorize, sketch to photo, and product lifestyle shots. Use for websites, apps, presentations needing hero images, banners, product photos, product placement in scenes, icons, illustrations, or backgrounds. Also for e-commerce photography, batch generation, and pipelines. Triggers are image generation, generate/create image, edit photo, remove background, transparent PNG, replace background, product shot, lifestyle scenes, upscale, style transfer, photo restoration, colorize, sketch to image, outpaint, inpaint, cut out subject, integrate products into scene.

Trustedconfidence: source evidencesource-scanned
+ 1 more
privileged capability
Take: Source-aware scan found higher-privilege capability areas (token), but that alone is not evidence of malicious behavior.
Decision cue: Decent evidence base β€” source-level signals are available, so inspect the receipts.

image-utils

galbria Β· vsource-scanned
60
overall

Classic image manipulation with Python Pillow - resize, crop, composite, format conversion, watermarks, brightness/contrast adjustments, and web optimization. Use this skill when post-processing AI-generated images, preparing images for web delivery, batch processing image directories, creating responsive image variants, or performing any deterministic pixel-level image operation. Works standalone or alongside bria-ai for post-processing generated images.

Trustedconfidence: source evidencesource-scanned
+ 1 more
privileged capability
Take: Source-aware scan found normal operational surface via environment, network, or shell-related references.
Decision cue: Decent evidence base β€” source-level signals are available, so inspect the receipts.

bria-ai-api

galbria Β· vcatalog
57
overall

Use when generating visual assets with Bria.ai - product photos, hero images, icons, backgrounds.

Insufficient Evidenceconfidence: limited evidencecatalog-only
+ 1 more
privileged capability
Take: Indexed from the community catalog. Source-aware static analysis and manual review are still pending.
Decision cue: Thin evidence slice β€” do not treat this card like a verified green light.

bria-ai-api-skill

galbria Β· vcatalog
57
overall

Use when generating visual assets with Bria.ai - product photos, hero images, icons, backgrounds.

Insufficient Evidenceconfidence: limited evidencecatalog-only
+ 1 more
privileged capability
Take: Indexed from the community catalog. Source-aware static analysis and manual review are still pending.
Decision cue: Thin evidence slice β€” do not treat this card like a verified green light.

bria-ai-client

galbria Β· vcatalog
57
overall

Use when generating visual assets with Bria.ai - product photos, hero images, icons, backgrounds.

Insufficient Evidenceconfidence: limited evidencecatalog-only
+ 1 more
privileged capability
Take: Indexed from the community catalog. Source-aware static analysis and manual review are still pending.
Decision cue: Thin evidence slice β€” do not treat this card like a verified green light.
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Trust reading guide

Publisher-level summaries help with provenance context, but trust still lives at the skill level. Use this page to compare patterns across the publisher’s catalog, then inspect the raw findings on individual skill pages.

Back to the full index