skill
Security Ownership Map
نبذة
# 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:
```bash 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:
```bash 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:
```bash 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):
```bash 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:
```bash 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:
```bash 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:
```bash # Orphaned sensitive code (stale + low bus factor) python skills/skills/security-ownership-
التثبيت
شغل هذا الأمر
git clone https://github.com/openai/skills && cp -r skills/skills/.curated/security-ownership-map ~/.claude/skills/يعمل مع
خطوات التثبيت
Clone the repository and copy the `skills/.curated/security-ownership-map` folder into your Claude skills directory. Compatible with Claude Code, Cursor, Codex, and any Agent Skills-compatible agent.
أسئلة شائعة
كيف أثبت Security Ownership Map؟
شغل هذا الأمر في الطرفية:
git clone https://github.com/openai/skills && cp -r skills/skills/.curated/security-ownership-map ~/.claude/skills/مع أي أدوات ذكاء اصطناعي تعمل Security Ownership Map؟
تعمل مع claude_app، claude_code، claude_api، cursor، codex، windsurf، cline، zed.
من طور Security Ownership Map؟
طورها OpenAI، وتصدر بترخيص Apache-2.0.
هل Security Ownership Map مجانية؟
نعم، يمكنك استخدامها مجانا وفق ترخيص Apache-2.0.
npx skills add google/agents-cli
npx skills add google/agents-cli
npx skills add google/agents-cli
npx skills add google/agents-cli
npx skills add google/agents-cli
npx skills add prisma/skills
افحص قبل التثبيت
شغل أي مصدر عبر فحوصاتنا - الظهور في الذكاء الاصطناعي والأمان والأداء واكتشاف التقنيات.
فحص أمني تلقائي للموقع
الأمان
محلل سرعة الصفحة
الأداء
اختبار جودة المحتوى العربي بالذكاء الاصطناعي
جودة المحتوى
مختبر وكلاء الذكاء الاصطناعي
اختبار الذكاء الاصطناعي
كاشف منصة الموقع
الترحيل
تدقيق الظهور في محركات الذكاء الاصطناعي
الظهور في الذكاء الاصطناعي
مولد ملف llms.txt
الظهور في الذكاء الاصطناعي
مقياس سهولة القراءة بالعربية
جودة المحتوى
منشئ البيانات المنظمة
الظهور في الذكاء الاصطناعي
حاسبة تكاليف الذكاء الاصطناعي
اختبار الذكاء الاصطناعي
محلل العناوين العربية
جودة المحتوى