opendatahub-io/vllm-backport-score-rank
helpers/skills/vllm-backport-score-rank/SKILL.md
Score and rank backport candidates using a composite formula based on verdict, severity, scope, risk, and self-containedness. Use after the agent completes semantic analysis to produce a prioritized ranked list.
$ install --global
skillsauthnpx skillsauth add opendatahub-io/ai-helpers vllm-backport-score-rankInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
Skipped
OSV-ScannerOpen Source Vulnerability database check
50%
Skipped
OWASP Dep-Check
50%
Last scanned: Apr 18, 2026, 6:11 AM9.4s2 files scanned
SKILL.md
- name:
- vllm-backport-score-rank
- description:
- >
- compatibility:
- Requires python3
- allowed-tools:
- Bash Read
- author:
- ZhanqiuHu
- version:
- 1.0
- tags:
- vllm, backport, triage
Score and Rank
Applies a deterministic scoring formula to produce reproducible rankings.
Scoring Formula
| Field | Values and Points | |---|---| | verdict | must_backport=30, likely_relevant=20, needs_review=10, likely_skip/skip=0 | | severity | critical=25, moderate=15, low=5 | | affected_scope | all_users=20, specific_models=12, specific_feature=8, edge_case=3 | | backport_risk | safe=15, moderate=8, risky=0 | | self_contained | true=10, false=0 |
Max score: 100. Sorted by score desc, then files_in_release desc, then change_size asc.
Each PR also gets backport_ease: ai-fixable if self_contained AND risk is safe/moderate.
Usage
python3 scripts/score-and-rank.py \
--input artifacts/backport-triage/analyzed.json \
--output artifacts/backport-triage/ranked.json
Input
analyzed.json — candidates with agent-added fields: verdict, severity,
affected_scope, backport_risk, self_contained.
Output
ranked.json — filtered (removes SKIP/already_backported), scored, sorted,
with rank, score, change_size, backport_ease added.
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