openai/skills/skills/.curated/security-ownership-map/SKILL.md
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 n
- Source repository stars
- 24,265
- Declared platforms
- 0
- Static risk flags
- 1
- Last source update
- 2026-07-14
- Source checked
- 2026-07-28
Decision brief
What it does—and where it fits
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…
Not for
- Tasks that require unconfirmed production actions or broad system permissions.
- Environments where the pinned source and install steps cannot be inspected.
Compatibility matrix
Platform support, with evidence labels
| Platform | Status | Evidence | What to check |
|---|---|---|---|
| Codex | Not declared | No explicit evidence | Portability before use |
| Claude Code | Not declared | No explicit evidence | Portability before use |
| Cursor | Not declared | No explicit evidence | Portability before use |
| Gemini CLI | Not declared | No explicit evidence | Portability before use |
Installation
Inspect first. Install second.
The source command is displayed only when detected. A safe inspection prompt is always available so your agent can explain every action before execution.
npx skills add https://github.com/openai/skills --skill "skills/.curated/security-ownership-map"Inspect the Agent Skill "security-ownership-map" from https://github.com/openai/skills/blob/49f948faa9258a0c61caceaf225e179651397431/skills/.curated/security-ownership-map/SKILL.md at commit 49f948faa9258a0c61caceaf225e179651397431. List every install step, command, network request, credential, file read/write, external action, and rollback step. Explain whether it fits my task. Do not install or execute anything until I approve.
Workflow
What the source asks the agent to do
- 01
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/runownershipmap.py (co-change graph is on by default; use --cochange-max-files to ignore supernode commits).…
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/runownershipmap.py (co-change graph is on by default; use --cochange-max-files to ignore supernode commits). - 02
Quick start
Defaults: author identity, author date, and merge commits excluded. Use --identity committer, --date-field committer, or --include-merges if needed.
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):Communities are computed by default. To disable: - 03
Requirements
Python 3
Python 3networkx (required; community detection is enabled by default)- Python 3 - networkx (required; community detection is enabled by default) - 04
Sensitivity rules
By default, the script flags common auth/crypto/secret paths. Override by providing a CSV file:
By default, the script flags common auth/crypto/secret paths. Override by providing a CSV file: - 05
pattern,tag,weight
/auth/,auth,1.0 /crypto/,crypto,1.0 /.pem,secrets,1.0 bash python skills/skills/security-ownership-map/scripts/queryownership.py --data-dir ownership-map-out people --limit 10 python skills/skills/security-ownership-map/scripts/queryownership.py --data-dir ownership-map-out file…
/auth/,auth,1.0 /crypto/,crypto,1.0 /.pem,secrets,1.0 bash python skills/skills/security-ownership-map/scripts/queryownership.py --data-dir ownership-map-out people --limit 10 python skills/skills/security-ownership-map…
Permission review
Static risk signals and limitations
Runs scripts
The documentation asks the agent to run terminal commands or scripts.
python skills/skills/security-ownership-map/scripts/run_ownership_map.py \Runs scripts
The documentation asks the agent to run terminal commands or scripts.
python skills/skills/security-ownership-map/scripts/run_ownership_map.py \Evidence record
Why each signal appears
| Signal | Value | Evidence type | Meaning |
|---|---|---|---|
| Quality score | 74/100 | Computed | Documentation, specificity, maintenance, and trust rules |
| Repository stars | 24,265 | Source | Repository attention, not individual Skill quality |
| Compatibility | 0 platforms | Source | Declared in the catalog source record |
| Usage guide | automated source guide | Editorial | Generated or reviewed according to the visible evidence level |
Pinned source
Provenance and original SKILL.md
- Repository
- openai/skills
- Skill path
- skills/.curated/security-ownership-map/SKILL.md
- Commit
- 49f948faa9258a0c61caceaf225e179651397431
- License
- Not declared
- Collected
- 2026-07-28
- Default branch
- main
View the original 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.
Alternatives
Compare before choosing
K-Dense-AI/scientific-agent-skills
dask
Distributed computing for larger-than-RAM pandas/NumPy workflows. Use when you need to scale existing pandas/NumPy code beyond memory or across clusters. Best for parallel file processing, distributed ML, integration with existing pandas code. For out-of-core analytics on single machine use vaex; for in-memory speed use polars.
K-Dense-AI/scientific-agent-skills
scanpy
Standard single-cell RNA-seq analysis pipeline. Use for QC, normalization, dimensionality reduction (PCA/UMAP/t-SNE), clustering, differential expression, visualization, and converting R-friendly single-cell formats such as Seurat or SingleCellExperiment RDS files into h5ad for Scanpy. Best for exploratory scRNA-seq analysis with established workflows. For deep learning models use scvi-tools; for data format questions use anndata.
K-Dense-AI/scientific-agent-skills
astropy
Core Python library for astronomy and astrophysics workflows that need Astropy APIs, including units/quantities, coordinates, FITS I/O, tables, time systems, WCS, and cosmology. Use when implementing or debugging astronomical data analysis code with Astropy.
github/awesome-copilot
security-review
AI-powered codebase security scanner that reasons about code like a security researcher — tracing data flows, understanding component interactions, and catching vulnerabilities that pattern-matching tools miss. Use this skill when asked to scan code for security vulnerabilities, find bugs, check for SQL injection, XSS, command injection, exposed API keys, hardcoded secrets, insecure dependencies, access control issues, or any request like "is my code secure?", "review for security issues", "audi