publisher profilecommunity

pauldelavallaz

pauldelavallaz publishes 9 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.

9

indexed skills

57

average score

0

manual reviews

0

high-risk labels

catalog evidence snapshotbaseline-v3 coverage 1/9functionality-v2 coverage 1no 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.

📊 Runtime quality summary

Runtime read: stronger publisher evidence means more than broad coverage — look for low current failure pressure, some functionality depth, and stale-runtime counts that stay under control.

eligible runtime skills: 9latest touch: 39h agono current regressions

Baseline coverage

111% of eligible skills have baseline-v3 receipts

Baseline pass rate

100%1 passed · 0 currently failing

Functionality coverage

1100% 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

1current 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: 2026-03-14 10:30 UTC. 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.

Fresh runtime slice Stale runtime slice

failedfunctionality-v2first failed run seen for this lane39h ago

passedbaseline-v339h ago

Skills from this publisher

Showing 9 of 9 skills

Label mix on this page

Trusted: 5Use Caution: 1Insufficient 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: 9 source-scanned, 0 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.

ad-ready

pauldelavallaz · vsource-scanned

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Trustedconfidence: source evidencesource-scanned

Take: Source-aware scan found higher-privilege capability areas (token), but that alone is not evidence of malicious behavior.

Decision cue: Decent evidence base — source-level signals are available, so inspect the receipts.

tiktok-clipper

pauldelavallaz · vsource-scanned

Takes a long-form video, transcribes it, identifies the most engaging segments for TikTok/Reels, clips them with ffmpeg, and adds TikTok-style animated subtitles.

Trustedconfidence: source evidencesource-scanned

Take: Source-aware scan found normal operational surface via environment, network, or shell-related references.

Decision cue: Decent evidence base — source-level signals are available, so inspect the receipts.

multishot-ugc

pauldelavallaz · vsource-scanned

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Trustedconfidence: source evidencesource-scanned

Take: Source-aware scan found normal operational surface via environment, network, or shell-related references.

Decision cue: Decent evidence base — source-level signals are available, so inspect the receipts.

ai-brand-analyzer

pauldelavallaz · vsource-scanned

Analyze brands to generate comprehensive brand identity profiles (JSON). Use when the user wants to analyze a brand, create a brand profile, or needs brand data for ad generation. Stores profiles for reuse across Ad-Ready, Morpheus, and other creative workflows. Can list existing profiles and update them.

Trustedconfidence: source evidencesource-scanned

Take: Source-aware scan found higher-privilege capability areas (token), but that alone is not evidence of malicious behavior.

Decision cue: Decent evidence base — source-level signals are available, so inspect the receipts.

veed-ugc

pauldelavallaz · vsource-scanned

Generate UGC-style promotional videos with AI lip-sync. Takes an image (person with product from Morpheus/Ad-Ready) and a script (pure dialogue), creates a video of the person speaking. Uses ElevenLabs for voice synthesis.

Trustedconfidence: source evidencesource-scanned

Take: Source-aware scan found normal operational surface via environment, network, or shell-related references.

Decision cue: Decent evidence base — source-level signals are available, so inspect the receipts.

morpheus-fashion-design

pauldelavallaz · vsource-scanned

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Insufficient Evidenceconfidence: source evidencesource-scanned

Take: Source-aware scan found normal operational surface via environment, network, or shell-related references.

Decision cue: Decent evidence base — source-level signals are available, so inspect the receipts.

ugc-campaign-pipeline

pauldelavallaz · vsource-scanned

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Insufficient Evidenceconfidence: source evidencesource-scanned

Take: Source-aware scan found normal operational surface via environment, network, or shell-related references.

Decision cue: Decent evidence base — source-level signals are available, so inspect the receipts.

ad-ready-pro

pauldelavallaz · vsource-scanned

Generate professional advertising images from product URLs using the Ad-Ready pipeline on ComfyDeploy. Use when the user wants to create ads for any product by providing a URL, optionally with a brand profile (70+ brands) and funnel stage targeting. Supports model/talent integration, brand-aware creative direction, and multi-format output. Differs from Morpheus (manual fashion photography) — Ad-Ready is URL-driven, brand-intelligent, and funnel-stage aware.

Insufficient Evidenceconfidence: source evidencesource-scanned

Take: Source-aware scan found higher-privilege capability areas (token), but that alone is not evidence of malicious behavior.

Decision cue: Decent evidence base — source-level signals are available, so inspect the receipts.

ugc-manual

pauldelavallaz · vsource-scanned

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Use Cautionfollow-on functionality checks failed · 7/8confidence: source evidence

Runtime receipts + what failed2026-03-14 10:30 UTC

functionality-v2evidence depth: follow-on functionality checkstested recently: within 7 daysfirst failed run seen for this lanepassed, runtime_failedoutput 125 Bartifacts 0worker oc-sandboxsource stage: cache hitsuite 3005 msbaseline-v3 8/8

🕵️ expected proof signal was missing🚫 skill exited with an error

RatioDaemon on this skillUgc Manual is trying to handle ugc manual. Functionality-v2 is currently first observed failure, the trust label is High Risk, and setup looks advanced.

Observed: skill-structure-ok

Take: Potentially suspicious implementation signals detected: sudo .

Decision cue: Review first — functionality-v2 already found trouble.

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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