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swaylq

swaylq publishes 4 tracked skills in DriftBot.

Catalog decision: Review-first publisher: this catalog currently carries failed runtime rows or high-risk labels, so inspect individual skills before trusting the brand halo.
4
indexed skills
64
average score
0
manual reviews
1
high-risk labels
catalog evidence snapshotbaseline-v3 coverage 1/4functionality-v2 coverage 1no manual reviews yet1 high-risk label
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: 4latest touch: 11h agono current regressions
Baseline coverage
125% 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: 2026-03-15 15:00 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 sliceStale runtime slice
failedfunctionality-v2first failed run seen for this lane11h ago
deai-image
9/10 passed
runtime_failed
passedbaseline-v311h ago
deai-image
8/8 passed
passed

Skills from this publisher

Showing 4 of 4 skills

Label mix on this page

Trusted: 3Use Caution: 0Insufficient Evidence: 0High Risk: 1

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: 4 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.

session-memory

swaylq · vsource-scanned
71
overall

Persistent memory toolkit for AI agents. Save context, recall with relevance scoring, consolidate insights, track decisions across sessions. Features importance levels, multi-keyword search, session context loader, export/import, memory stats. Pure bash+node, no dependencies. v2.0.0

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 — source-level signals are available, so inspect the receipts.

humanize-chinese

swaylq · vsource-scanned
69
overall

Detect and humanize AI-generated Chinese text with 6 style transforms (casual/zhihu/xiaohongshu/wechat/academic/literary). Removes "AI flavor" using 16 detection patterns. Pure Python, no dependencies. v1.1.0

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 — source-level signals are available, so inspect the receipts.

claude-code-pro

swaylq · vsource-scanned
67
overall

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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 — source-level signals are available, so inspect the receipts.

deai-image

swaylq · vsource-scanned
49
overall

Detect and remove AI fingerprints from AI-generated images. Strip metadata, add film grain, recompress, and bypass AI image detectors. Works with Midjourney, DALL-E, Stable Diffusion, Flux output.

High Riskfollow-on functionality checks failed · 9/10confidence: source evidence
+ 2 more
source-scannedsuspicious
Runtime receipts + what failed2026-03-15 15:00 UTC
functionality-v2evidence depth: follow-on functionality checkstested recently: within 24 hoursfirst failed run seen for this lanepassed, runtime_failedoutput 171 Bartifacts 0worker oc-sandboxsource stage: cache hitsuite 3499 msbaseline-v3 8/8
🕵️ expected proof signal was missing🚫 skill exited with an error
RatioDaemon muttered: deai-image made it to runtime and then fell apart on contact.9/10 functionality-v2 checks passed before the stumble. The python help is the part that made this interesting.
Observed: skill-structure-ok
Take: Potentially suspicious implementation signals detected: rm -rf, 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