security-ownership-map

oleh openai

Menganalisis repositori git untuk membangun topologi kepemilikan keamanan (orang-ke-berkas), menghitung faktor bus dan kepemilikan kode sensitif, serta mengekspor CSV/JSON untuk…

npx skills add https://github.com/openai/skills --skill security-ownership-map

Security Ownership Map

Overview

Build a bipartite graph of people and files from git history, then compute ownership risk and export graph artifacts for Neo4j/Gephi. Also build a file co-change graph (Jaccard similarity on shared commits) to cluster files by how they move together while ignoring large, noisy commits.

Requirements

  • Python 3
  • networkx (required; community detection is enabled by default)

Install with:

pip install networkx

Workflow

  1. Scope the repo and time window (optional --since/--until).
  2. Decide sensitivity rules (use defaults or provide a CSV config).
  3. Build the ownership map with scripts/run_ownership_map.py (co-change graph is on by default; use --cochange-max-files to ignore supernode commits).
  4. Communities are computed by default; graphml output is optional (--graphml).
  5. Query the outputs with scripts/query_ownership.py for bounded JSON slices.
  6. Persist and visualize (see references/neo4j-import.md).

By default, the co-change graph ignores common “glue” files (lockfiles, .github/*, editor config) so clusters reflect actual code movement instead of shared infra edits. Override with --cochange-exclude or --no-default-cochange-excludes. Dependabot commits are excluded by default; override with --no-default-author-excludes or add patterns via --author-exclude-regex.

If you want to exclude Linux build glue like Kbuild from co-change clustering, pass:

python skills/skills/security-ownership-map/scripts/run_ownership_map.py \
  --repo /path/to/linux \
  --out ownership-map-out \
  --cochange-exclude "**/Kbuild"

Quick start

Run from the repo root:

python skills/skills/security-ownership-map/scripts/run_ownership_map.py \
  --repo . \
  --out ownership-map-out \
  --since "12 months ago" \
  --emit-commits

Defaults: author identity, author date, and merge commits excluded. Use --identity committer, --date-field committer, or --include-merges if needed.

Example (override co-change excludes):

python skills/skills/security-ownership-map/scripts/run_ownership_map.py \
  --repo . \
  --out ownership-map-out \
  --cochange-exclude "**/Cargo.lock" \
  --cochange-exclude "**/.github/**" \
  --no-default-cochange-excludes

Communities are computed by default. To disable:

python skills/skills/security-ownership-map/scripts/run_ownership_map.py \
  --repo . \
  --out ownership-map-out \
  --no-communities

Sensitivity rules

By default, the script flags common auth/crypto/secret paths. Override by providing a CSV file:

# pattern,tag,weight
**/auth/**,auth,1.0
**/crypto/**,crypto,1.0
**/*.pem,secrets,1.0

Use it with --sensitive-config path/to/sensitive.csv.

Output artifacts

ownership-map-out/ contains:

  • people.csv (nodes: people)
  • files.csv (nodes: files)
  • edges.csv (edges: touches)
  • cochange_edges.csv (file-to-file co-change edges with Jaccard weight; omitted with --no-cochange)
  • summary.json (security ownership findings)
  • commits.jsonl (optional, if --emit-commits)
  • communities.json (computed by default from co-change edges when available; includes maintainers per community; disable with --no-communities)
  • cochange.graph.json (NetworkX node-link JSON with community_id + community_maintainers; falls back to ownership.graph.json if no co-change edges)
  • ownership.graphml / cochange.graphml (optional, if --graphml)

people.csv includes timezone detection based on author commit offsets: primary_tz_offset, primary_tz_minutes, and timezone_offsets.

LLM query helper

Use scripts/query_ownership.py to return small, JSON-bounded slices without loading the full graph into context.

Examples:

python skills/skills/security-ownership-map/scripts/query_ownership.py --data-dir ownership-map-out people --limit 10
python skills/skills/security-ownership-map/scripts/query_ownership.py --data-dir ownership-map-out files --tag auth --bus-factor-max 1
python skills/skills/security-ownership-map/scripts/query_ownership.py --data-dir ownership-map-out person --person alice@corp --limit 10
python skills/skills/security-ownership-map/scripts/query_ownership.py --data-dir ownership-map-out file --file crypto/tls
python skills/skills/security-ownership-map/scripts/query_ownership.py --data-dir ownership-map-out cochange --file crypto/tls --limit 10
python skills/skills/security-ownership-map/scripts/query_ownership.py --data-dir ownership-map-out summary --section orphaned_sensitive_code
python skills/skills/security-ownership-map/scripts/query_ownership.py --data-dir ownership-map-out community --id 3

Use --community-top-owners 5 (default) to control how many maintainers are stored per community.

Basic security queries

Run these to answer common security ownership questions with bounded output:

# Orphaned sensitive code (stale + low bus factor)
python skills/skills/security-ownership-map/scripts/query_ownership.py --data-dir ownership-map-out summary --section orphaned_sensitive_code

# Hidden owners for sensitive tags
python skills/skills/security-ownership-map/scripts/query_ownership.py --data-dir ownership-map-out summary --section hidden_owners

# Sensitive hotspots with low bus factor
python skills/skills/security-ownership-map/scripts/query_ownership.py --data-dir ownership-map-out summary --section bus_factor_hotspots

# Auth/crypto files with bus factor <= 1
python skills/skills/security-ownership-map/scripts/query_ownership.py --data-dir ownership-map-out files --tag auth --bus-factor-max 1
python skills/skills/security-ownership-map/scripts/query_ownership.py --data-dir ownership-map-out files --tag crypto --bus-factor-max 1

# Who is touching sensitive code the most
python skills/skills/security-ownership-map/scripts/query_ownership.py --data-dir ownership-map-out people --sort sensitive_touches --limit 10

# Co-change neighbors (cluster hints for ownership drift)
python skills/skills/security-ownership-map/scripts/query_ownership.py --data-dir ownership-map-out cochange --file path/to/file --min-jaccard 0.05 --limit 20

# Community maintainers (for a cluster)
python skills/skills/security-ownership-map/scripts/query_ownership.py --data-dir ownership-map-out community --id 3

# Monthly maintainers for the community containing a file
python skills/skills/security-ownership-map/scripts/community_maintainers.py \
  --data-dir ownership-map-out \
  --file network/card.c \
  --since 2025-01-01 \
  --top 5

# Quarterly buckets instead of monthly
python skills/skills/security-ownership-map/scripts/community_maintainers.py \
  --data-dir ownership-map-out \
  --file network/card.c \
  --since 2025-01-01 \
  --bucket quarter \
  --top 5

Notes:

  • Touches default to one authored commit (not per-file). Use --touch-mode file to count per-file touches.
  • Use --window-days 90 or --weight recency --half-life-days 180 to smooth churn.
  • Filter bots with --ignore-author-regex '(bot|dependabot)'.
  • Use --min-share 0.1 to show stable maintainers only.
  • Use --bucket quarter for calendar quarter groupings.
  • Use --identity committer or --date-field committer to switch from author attribution.
  • Use --include-merges to include merge commits (excluded by default).

Summary format (default)

Use this structure, add fields if needed:

{
  "orphaned_sensitive_code": [
    {
      "path": "crypto/tls/handshake.rs",
      "last_security_touch": "2023-03-12T18:10:04+00:00",
      "bus_factor": 1
    }
  ],
  "hidden_owners": [
    {
      "person": "alice@corp",
      "controls": "63% of auth code"
    }
  ]
}

Graph persistence

Use references/neo4j-import.md when you need to load the CSVs into Neo4j. It includes constraints, import Cypher, and visualization tips.

Notes

  • bus_factor_hotspots in summary.json lists sensitive files with low bus factor; orphaned_sensitive_code is the stale subset.
  • If git log is too large, narrow with --since or --until.
  • Compare summary.json against CODEOWNERS to highlight ownership drift.

Lebih banyak skill dari openai

user-context
openai
Memuat atau mengelola preferensi perutean sumber daya tahan lama, logika orientasi, kemajuan pengaturan, dan registri lapisan semantik dari plugin Data Analytics.
official
notion-research-documentation
openai
Teliti konten Notion dan sintesis menjadi ringkasan terstruktur, laporan, atau perbandingan dengan kutipan. Cari dan ambil halaman Notion menggunakan kueri yang ditargetkan, lalu atur temuan berdasarkan tema dengan kutipan sumber sebaris dan bagian referensi. Pilih dari empat format keluaran (ringkasan cepat, ringkasan riset, perbandingan, laporan komprehensif) berdasarkan cakupan dan tujuan pengguna. Buat dan perbarui halaman Notion menggunakan templat bawaan; tautkan sumber secara langsung dan lacak perubahan saat informasi baru tiba...
official
rcsb-pdb-skill
openai
Kirim permintaan RCSB PDB yang ringkas untuk metadata inti, kueri API Pencarian, dan unduhan FASTA. Gunakan saat pengguna menginginkan ringkasan RCSB yang singkat; simpan JSON mentah atau…
official
pdf
openai
Pembacaan, pembuatan, dan validasi PDF dengan rendering visual dan pembuatan secara terprogram. Render halaman PDF ke PNG untuk inspeksi visual tata letak, spasi, dan tipografi sebelum pengiriman menggunakan Poppler (pdftoppm). Buat PDF secara terprogram dengan reportlab untuk pemformatan yang andal; ekstrak teks dan metadata dengan pdfplumber atau pypdf. Terapkan standar kualitas: tidak ada teks terpotong, elemen tumpang tindih, tabel rusak, atau artefak rendering; hanya tanda hubung ASCII, kutipan yang dapat dibaca manusia. Gunakan...
official
test-coverage-improver
openai
Improve test coverage in the OpenAI Agents JS monorepo: run `pnpm test:coverage`, inspect coverage artifacts, identify low-coverage files and branches, propose…
official
playwright
openai
Otomasi peramban berbasis terminal dengan snapshot elemen dan alur kerja UI interaktif. Beroperasi melalui skrip wrapper playwright-cli (memerlukan npx); mendukung mode headless dan headed untuk debugging visual. Alur kerja inti: buka halaman, ambil snapshot untuk referensi elemen stabil, berinteraksi menggunakan ref, ambil snapshot ulang setelah navigasi atau perubahan DOM. Termasuk pengisian formulir, klik, pengetikan, manajemen multi-tab, tangkapan layar/PDF, dan perekaman jejak untuk debugging alur. Referensi elemen (misalnya e3, e15)...
official
ukb-topmed-phewas-skill
openai
Ambil ringkasan PheWAS UKB-TOPMed yang ringkas untuk varian tunggal dengan menerima masukan rsID, GRCh37, atau GRCh38 dan menyelesaikannya ke kueri GRCh38 yang diperlukan. Gunakan ketika...
official
code-review-context
openai
Konteks yang terlihat oleh model
official