Agent skill
openai-security-ownership-map
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. Originally from OpenAI's curated skills catalog.
Install this agent skill to your Project
npx add-skill https://github.com/trailofbits/skills-curated/tree/main/plugins/openai-security-ownership-map/skills/openai-security-ownership-map
SKILL.md
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
- Scope the repo and time window (optional
--since/--until). - Decide sensitivity rules (use defaults or provide a CSV config).
- Build the ownership map with
scripts/run_ownership_map.py(co-change graph is on by default; use--cochange-max-filesto ignore supernode commits). - Communities are computed by default; graphml output is optional (
--graphml). - Query the outputs with
scripts/query_ownership.pyfor bounded JSON slices. - 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; includesmaintainersper community; disable with--no-communities)cochange.graph.json(NetworkX node-link JSON withcommunity_id+community_maintainers; falls back toownership.graph.jsonif 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 fileto count per-file touches. - Use
--window-days 90or--weight recency --half-life-days 180to smooth churn. - Filter bots with
--ignore-author-regex '(bot|dependabot)'. - Use
--min-share 0.1to show stable maintainers only. - Use
--bucket quarterfor calendar quarter groupings. - Use
--identity committeror--date-field committerto switch from author attribution. - Use
--include-mergesto 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_hotspotsinsummary.jsonlists sensitive files with low bus factor;orphaned_sensitive_codeis the stale subset.- If
git logis too large, narrow with--sinceor--until. - Compare
summary.jsonagainst CODEOWNERS to highlight ownership drift.
When to Use
When NOT to Use
Recommended Agent Skills
Expand your agent's capabilities with these related and highly-rated skills.
openai-jupyter-notebook
Use when the user asks to create, scaffold, or edit Jupyter notebooks (`.ipynb`) for experiments, explorations, or tutorials; prefer the bundled templates and run the helper script `new_notebook.py` to generate a clean starting notebook. Originally from OpenAI's curated skills catalog.
openai-pdf
Use when tasks involve reading, creating, or reviewing PDF files where rendering and layout matter; prefer visual checks by rendering pages (Poppler) and use Python tools such as `reportlab`, `pdfplumber`, and `pypdf` for generation and extraction. Originally from OpenAI's curated skills catalog.
openai-security-best-practices
Perform language and framework specific security best-practice reviews and suggest improvements. Trigger only when the user explicitly requests security best practices guidance, a security review/report, or secure-by-default coding help. Trigger only for supported languages (python, javascript/typescript, go). Do not trigger for general code review, debugging, or non-security tasks. Originally from OpenAI's curated skills catalog.
openai-netlify-deploy
Deploy web projects to Netlify using the Netlify CLI (`npx netlify`). Use when the user asks to deploy, host, publish, or link a site/repo on Netlify, including preview and production deploys. Originally from OpenAI's curated skills catalog.
ffuf-web-fuzzing
Expert guidance for ffuf web fuzzing during authorized penetration testing. Covers directory discovery, subdomain enumeration, parameter fuzzing, authenticated fuzzing with raw requests, auto-calibration, and result analysis. Use when running ffuf scans, analyzing ffuf output, or building fuzzing strategies for web targets.
openai-gh-fix-ci
Use when a user asks to debug or fix failing GitHub PR checks that run in GitHub Actions; use `gh` to inspect checks and logs, summarize failure context, draft a fix plan, and implement only after explicit approval. Treat external providers (for example Buildkite) as out of scope and report only the details URL. Originally from OpenAI's curated skills catalog.
Didn't find tool you were looking for?