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/security-ownership-map

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Analyze git repositories to build a security ownership topology (people-to-file), compute bus factor and sensitive-code ownership, and export CSV/JSON for graph databases and visualization. Trigger only when the user explicitly wants a security-oriented ownership or bus-factor analysis grounded in git history (for example: orphaned sensitive code, security maintainers, CODEOWNERS reality checks for risk, sensitive hotspots, or ownership clusters). Do not trigger for general maintainer lists or non-security ownership questions.

Use this Skill: https://skilld.dev/gh/openai/skills/security-ownership-map

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SKILL.md

≈139 tokens always: the name and description. ≈2k when used: this file. ≈671 more on demand in 2 files.

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.

Source: SKILL.md on GitHub

1 alert16d5 checks · Risk SAFE
  • Gen Agent Trust Hub16d

    The 'security-ownership-map' skill is designed to analyze git repository history to identify code ownership patterns and bus factor risks. It operates locally on a specified repository and produces data artifacts for analysis. No malicious patterns or security vulnerabilities were identified.

  • Socket16d

    No alerts

  • Snyk16d

    Risk: MEDIUM · 1 issue

  • Runlayer7mo

    7/8 files flagged

  • ZeroLeaks5mo

    Score: 93/100 · 2 sections analyzed

Signed by skilld at 5c8f1e2. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub 2 months ago.

Activeupdated 8 months ago

README badge

README badge for openai/skills/security-ownership-map

Analyzes git history to map people and files into a bipartite graph, computes bus factor for sensitive code paths, and exports CSV/JSON for Neo4j or Gephi visualization. Identifies orphaned auth/crypto code, hidden owners, and ownership drift against CODEOWNERS files using configurable sensitivity rules and co-change clustering.

Generated from the current SKILL.md.

What does this skill compute from git history?
It builds a bipartite graph of people and files from git commits, computes bus factor (single points of failure) for each file, identifies co-change clusters using Jaccard similarity, detects communities via NetworkX, and flags orphaned or stale sensitive code based on configurable patterns.
Can I use this to find security risks in code ownership?
Yes. The skill identifies orphaned sensitive code (stale + low bus factor), hidden owners controlling auth/crypto paths, sensitive hotspots with only one maintainer, and ownership drift versus CODEOWNERS files.
What output formats does this generate?
CSV files for graph databases (people, files, edges, co-change edges), JSON summary with security findings, communities.json with maintainers per cluster, and optional GraphML for visualization in Gephi or Neo4j.
Does this require any external dependencies?
Yes. Python 3 and the NetworkX library are required. Install with `pip install networkx`. The skill can export to Neo4j, but Neo4j is optional.
Can I exclude noisy commits or authors from analysis?
Yes. By default, merge commits and Dependabot are excluded. You can override with `--include-merges`, `--author-exclude-regex`, and `--cochange-exclude` to filter build glue files like Kbuild or lockfiles from co-change clustering.

Generated from the current SKILL.md. These answers refresh after source changes.