Install payload
Install payload is broadly covered in current results.
100% (4/4)
All 4 results are trusted trust — check install risk per entry.
4 results in this view
1 trust signal differs in this sample: Package trust
Signals differ on Package trust — add entries to compare before you install.
Rollout signal scan
Biggest gaps: metadata review. 0 entries have 2+ required gaps.
Install payload
Install payload is broadly covered in current results.
100% (4/4)
Adoption queue
0/4 visible results are ready for staged adoption under this preset.
1 blockers: Metadata review
70/100
Request metadata review from maintainers or internal owners.
skills/git-cliff-release-changelog-capability-pack · trust trusted · confidence 83%
1 blockers: Metadata review
70/100
Request metadata review from maintainers or internal owners.
mcp/jam-mcp-server · trust trusted · confidence 83%
1 blockers: Metadata review
70/100
Request metadata review from maintainers or internal owners.
skills/log-parsing-incident-timeline · trust trusted · confidence 83%
1 blockers: Metadata review
70/100
Request metadata review from maintainers or internal owners.
mcp/vercel-mcp-server · trust trusted · confidence 83%
Decision confidence
4/4 results are high-confidence for the selected preset.
Confident candidate for staged adoption.
74/100
skills/git-cliff-release-changelog-capability-pack · trust trusted
Confident candidate for staged adoption.
74/100
mcp/jam-mcp-server · trust trusted
Confident candidate for staged adoption.
74/100
skills/log-parsing-incident-timeline · trust trusted
Confident candidate for staged adoption.
74/100
mcp/vercel-mcp-server · trust trusted
Freshness distribution
Median age 300 days; 0 fresh of 4 scanned. Re-verify the oldest entries.
Theme distribution
19 distinct themes with no dominant one. Most common: bash, bug-tracking, capability-pack.
19 distinct themes across 4 scanned
Expert release-changelog capability pack for git-cliff with conventional commits, deterministic release notes, and low-maintenance versioning.
Parse web, application, and system logs into structured incidents and timelines with anomaly detection.
Debug faster with AI agents that access video recordings, console logs, and network requests
Manage deployments, analyze logs, and control Vercel projects