agentic/code/frameworks/research-complete/skills/profile-metrics/SKILL.md
Compute corpus-local influence/centrality metrics — per-paper CD-index + PageRank, and per-PROF-P h-index / mean-CD / mean-PageRank / betweenness / eigenvector + influence grade. Runs via `aiwg corpus profile-metrics`.
npx skillsauth add jmagly/aiwg profile-metricsInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Corpus-local bibliometric + social-network metrics over the co-author and citation graphs (NetworkX-equivalent, no graph library).
aiwg corpus profile-metrics # per-PROF-P table to stdout
aiwg corpus profile-metrics --papers # per-paper CD-index + PageRank
aiwg corpus profile-metrics --out indices/metrics.md
Per person (PROF-P): h-index (Hirsch), mean CD-index (Wu-Wang-Evans
disruption), mean PageRank, betweenness + eigenvector centrality on
the co-author graph, and an influence grade (h≥3→A, ≥2→B, ≥1→C, else D).
Per paper (--papers): CD-index + PageRank.
CD-index is null for papers with < 3 in-corpus citers (low confidence). The node2vec embedding metrics are an opt-in add-on (needs-infrastructure), not computed here.
/profile-metricsdata-ai
Report which research-corpus radar sidecars are overdue for refresh. Computes staleness (days since last refresh vs the cadence window) for every radar, sorted most-overdue-first. Runs via `aiwg corpus radar-status`.
data-ai
Aggregate research-corpus radar sidecars into a corpus or per-cluster freshness report — totals, overdue count, per-cluster / per-GRADE / per-trajectory breakdowns, an overdue table, and per-radar rationale snippets. Runs via `aiwg corpus radar-report`.
testing
Scaffold radar/freshness sidecars for research-corpus REFs. Pulls title/authors from the citation sidecar and GRADE from the analysis doc, defaults the refresh cadence from GRADE and the cluster from a corpus-local map, and stamps documentation/radar/REF-XXX-radar.md. Runs via `aiwg corpus radar-init`.
data-ai
Compute an entity's publication trajectory — per-year paper counts, topic drift, hot-streak detection (≥3 consecutive A-grade years), and career phase. Runs via `aiwg corpus profile-temporal`.