Security Ownership Map
OpenAIOfficialPublished by OpenAI
- Skill
- Research and analysis
- Security
- Apache-2.0
- Low risk
- Has scripts
AutoGineer summary
Written by AutoGineer from the skill’s own files, not by the author
The Security Ownership Map skill analyzes git repository history to build a bipartite graph of people and files. It calculates ownership metrics, such as bus factor and sensitive code exposure, and identifies clusters of files that frequently change together. The tool generates structured data (CSV/JSON) suitable for graph databases like Neo4j or visualization tools like Gephi, enabling security teams to audit ownership, validate CODEOWNERS files, and identify high-risk, low-bus-factor areas in the codebase.
What it does
- Builds a bipartite graph of contributors and files from git history.
- Computes bus factor and ownership risk for sensitive code paths.
- Clusters files based on co-change patterns to identify functional dependencies.
- Exports data to CSV and JSON formats for graph database ingestion.
- Identifies orphaned sensitive code and hidden ownership concentrations.
- Provides CLI tools to query specific ownership slices and security findings.
When to use it
- When you need to audit the security ownership of sensitive codebases.
- When identifying 'bus factor' risks where critical code is maintained by too few people.
- When verifying if actual code contributions align with defined CODEOWNERS files.
- When investigating ownership drift or identifying orphaned security-sensitive components.
- When preparing data for graph-based visualization of developer-to-file relationships.
Advantages
- Grounded in actual git history rather than static documentation.
- Supports custom sensitivity rules to prioritize specific file patterns.
- Provides actionable insights like orphaned code and bus factor hotspots.
- Integrates with graph databases for advanced network analysis.
- Configurable filtering to exclude noise like bots or infrastructure glue files.
Usage examples
- “Analyze the current repository to find sensitive files with a bus factor of 1 or less.”
- The tool generates a report identifying critical auth or crypto files that are maintained by only one person, highlighting potential knowledge silos.
- “Identify orphaned sensitive code in the project.”
- The tool outputs a list of sensitive files that have not been touched recently and have a low bus factor, flagging them for review.
- “Who are the top contributors touching the crypto directory?”
- The tool queries the ownership map to return a list of developers ranked by their contribution volume to files tagged as crypto.
- “Find hidden owners for sensitive code.”
- The tool identifies individuals who control a significant percentage of sensitive code, even if they are not explicitly listed as maintainers.
Install
Download the skill as a ZIP:
https://autogineer.com/agent-skills/openai/security-ownership-map/downloadUnzip it into the cross-client skills folder of your project:
mkdir -p .agents/skills && unzip security-ownership-map.zip -d .agents/skills
Documentation by OpenAI
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 networkxWorkflow
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-commitsDefaults: 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-excludesCommunities are computed by default. To disable:
python skills/skills/security-ownership-map/scripts/run_ownership_map.py \
--repo . \
--out ownership-map-out \
--no-communitiesSensitivity 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,1.0Use 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 3Use --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 5Notes:
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.
Files
- ATTRIBUTION.mdAdded by AutoGineer914 B
- LICENSE.txt10.5 KiB
- SKILL.md8.5 KiB
- agents/openai.yaml253 B
- references/neo4j-import.md2.4 KiB
- scripts/build_ownership_map.pyScript33.5 KiB
- scripts/community_maintainers.pyScript17.7 KiB
- scripts/query_ownership.pyScript17.6 KiB
- scripts/run_ownership_map.pyScript5.8 KiB
scripts/community_maintainers.py
#!/usr/bin/env python3
"""Report monthly maintainers for a file's community."""
from __future__ import annotations
import argparse
import csv
import datetime as dt
import json
import math
import re
import subprocess
import sys
from collections import Counter, defaultdict
from pathlib import Path
from typing import Iterable
def parse_args() -> argparse.Namespace:
parser = argparse.ArgumentParser(
description="Compute maintainers for a file's community over time."
)
parser.add_argument(
"--data-dir",
default="ownership-map-out",
help="Directory containing graph outputs",
)
parser.add_argument(
"--repo",
default=None,
help="Git repo path (required if commits.jsonl is missing)",
)
parser.add_argument(
"--file",
default=None,
help="File path (exact or substring) to locate community",
)
parser.add_argument(
"--community-id",
type=int,
default=None,
help="Community id to analyze",
)
parser.add_argument(
"--since",
default=None,
help="Filter commits since date (ISO or 'YYYY-MM-DD')",
)
parser.add_argument(
"--until",
default=None,
help="Filter commits until date (ISO or 'YYYY-MM-DD')",
)
parser.add_argument(
"--identity",
choices=("author", "committer"),
default="author",
help="Identity to attribute touches to",
)
parser.add_argument(
"--date-field",
choices=("author", "committer"),
default="author",
help="Date field to use for bucketing",
)
parser.add_argument(
"--include-merges",
action="store_true",
help="Include merge commits (excluded by default)",
)
parser.add_argument(
"--top",
type=int,
default=5,
help="Top maintainers per month",
)
parser.add_argument(
"--bucket",
choices=("month", "quarter"),
default="month",
help="Time bucket for grouping",
)
parser.add_argument(
"--touch-mode",
choices=("commit", "file"),
default="commit",
help="Count one touch per commit or one per file touched",
)
parser.add_argument(
"--window-days",
type=int,
default=0,
help="Use a rolling window of N days ending each month (0 = calendar month only)",
)
parser.add_argument(
"--weight",
choices=("touches", "recency"),
default="touches",
help="Weight touches by recency using exponential decay",
)
parser.add_argument(
"--half-life-days",
type=float,
default=180.0,
help="Half-life days for recency weighting",
)
parser.add_argument(
"--min-share",
type=float,
default=0.0,
help="Minimum share within a month to include a maintainer",
)
parser.add_argument(
"--ignore-author-regex",
default=None,
help="Regex to skip authors by name or email (e.g., '(bot|dependabot)')",
)
parser.add_argument(
"--min-touches",
type=int,
default=1,
help="Minimum touches per month to include a maintainer",
)
return parser.parse_args()
def parse_date(value: str) -> dt.datetime:
try:
parsed = dt.datetime.fromisoformat(value)
except ValueError:
parsed = dt.datetime.fromisoformat(value + "T00:00:00")
if parsed.tzinfo is None:
parsed = parsed.replace(tzinfo=dt.timezone.utc)
return parsed
def month_key(timestamp: dt.datetime) -> str:
return timestamp.strftime("%Y-%m")
def quarter_key(timestamp: dt.datetime) -> str:
quarter = (timestamp.month - 1) // 3 + 1
return f"{timestamp.year}-Q{quarter}"
def month_end(timestamp: dt.datetime) -> dt.datetime:
year = timestamp.year
month = timestamp.month
if month == 12:
next_month = dt.datetime(year + 1, 1, 1, tzinfo=dt.timezone.utc)
else:
next_month = dt.datetime(year, month + 1, 1, tzinfo=dt.timezone.utc)
return next_month - dt.timedelta(seconds=1)
def quarter_start(timestamp: dt.datetime) -> dt.datetime:
quarter = (timestamp.month - 1) // 3
start_month = quarter * 3 + 1
return dt.datetime(timestamp.year, start_month, 1, tzinfo=dt.timezone.utc)
def quarter_end(timestamp: dt.datetime) -> dt.datetime:
start = quarter_start(timestamp)
end_month = start.month + 2
end_year = start.year
if end_month > 12:
end_month -= 12
end_year += 1
end_anchor = dt.datetime(end_year, end_month, 1, tzinfo=dt.timezone.utc)
return month_end(end_anchor)
def add_months(timestamp: dt.datetime, months: int) -> dt.datetime:
year = timestamp.year + (timestamp.month - 1 + months) // 12
month = (timestamp.month - 1 + months) % 12 + 1
return dt.datetime(year, month, 1, tzinfo=dt.timezone.utc)
def recency_weight(age_days: float, half_life_days: float) -> float:
if half_life_days <= 0:
return 1.0
return math.exp(-age_days / half_life_days)
def read_csv(path: Path) -> Iterable[dict[str, str]]:
with path.open("r", encoding="utf-8") as handle:
reader = csv.DictReader(handle)
yield from reader
def load_people(data_dir: Path) -> dict[str, dict[str, str]]:
people_path = data_dir / "people.csv"
people = {}
for row in read_csv(people_path):
people[row.get("person_id", "")] = {
"name": row.get("name", ""),
"email": row.get("email", ""),
"primary_tz_offset": row.get("primary_tz_offset", ""),
}
return people
def load_graph_json(data_dir: Path) -> dict[str, object] | None:
cochange_path = data_dir / "cochange.graph.json"
ownership_path = data_dir / "ownership.graph.json"
if cochange_path.exists():
return json.loads(cochange_path.read_text(encoding="utf-8"))
if ownership_path.exists():
return json.loads(ownership_path.read_text(encoding="utf-8"))
return None
def find_file_node(nodes: list[dict[str, object]], query: str) -> dict[str, object]:
exact = [node for node in nodes if node.get("id") == query]
if exact:
return exact[0]
contains = [node for node in nodes if query in str(node.get("id", ""))]
if len(contains) == 1:
return contains[0]
if not contains:
raise ValueError(f"File not found in graph: {query}")
candidates = ", ".join(str(node.get("id")) for node in contains[:10])
raise ValueError(f"Multiple matches for file {query}: {candidates}")
def load_community_files(
data_dir: Path, file_query: str | None, community_id: int | None
) -> tuple[int, list[str]]:
graph = load_graph_json(data_dir)
if graph:
nodes = graph.get("nodes", [])
if file_query:
node = find_file_node(nodes, file_query)
community_id = int(node.get("community_id", -1))
if community_id is None:
raise ValueError("Provide --file or --community-id")
files = [node.get("id") for node in nodes if node.get("community_id") == community_id]
files = [entry for entry in files if entry]
if not files:
raise ValueError(f"No files found for community {community_id}")
return community_id, files
communities_path = data_dir / "communities.json"
if not communities_path.exists():
raise FileNotFoundError("Missing graph json and communities.json")
communities = json.loads(communities_path.read_text(encoding="utf-8"))
if file_query:
for entry in communities:
files = entry.get("files", [])
if any(file_query == f or file_query in f for f in files):
return int(entry.get("id", -1)), list(files)
raise ValueError("File not found in communities.json (list may be truncated)")
if community_id is None:
raise ValueError("Provide --file or --community-id")
for entry in communities:
if int(entry.get("id", -1)) == community_id:
return community_id, list(entry.get("files", []))
raise ValueError(f"Community id not found: {community_id}")
def iter_commits_from_json(
commits_path: Path,
since: dt.datetime | None,
until: dt.datetime | None,
date_field: str,
) -> Iterable[dict[str, object]]:
with commits_path.open("r", encoding="utf-8") as handle:
for line in handle:
entry = json.loads(line)
author_date = entry.get("author_date") or entry.get("date")
committer_date = entry.get("committer_date")
if author_date:
author_dt = parse_date(author_date)
else:
author_dt = None
if committer_date:
committer_dt = parse_date(committer_date)
else:
committer_dt = None
if date_field == "committer":
commit_date = committer_dt or author_dt
else:
commit_date = author_dt or committer_dt
if commit_date is None:
continue
if since and commit_date < since:
continue
if until and commit_date > until:
continue
yield {
"hash": entry.get("hash", ""),
"parents": entry.get("parents", []),
"is_merge": entry.get("is_merge", False),
"author_name": entry.get("author_name", ""),
"author_email": entry.get("author_email", ""),
"author_date": author_date,
"committer_name": entry.get("committer_name", ""),
"committer_email": entry.get("committer_email", ""),
"committer_date": committer_date,
"files": entry.get("files", []),
}
def iter_commits_from_git(
repo: str, since: str | None, until: str | None, include_merges: bool
) -> Iterable[dict[str, object]]:
cmd = [
"git",
"-C",
repo,
"log",
"--name-only",
"--no-renames",
"--date=iso-strict",
"--format=---%n%H%n%P%n%an%n%ae%n%ad%n%cn%n%ce%n%cd",
]
if not include_merges:
cmd.append("--no-merges")
if since:
cmd.extend(["--since", since])
if until:
cmd.extend(["--until", until])
proc = subprocess.Popen(
cmd,
stdout=subprocess.PIPE,
stderr=subprocess.PIPE,
text=True,
)
assert proc.stdout is not None
block: list[str] = []
for line in proc.stdout:
line = line.rstrip("\n")
if line == "---":
if block:
yield from parse_git_block(block)
block = []
else:
block.append(line)
if block:
yield from parse_git_block(block)
stderr = proc.stderr.read() if proc.stderr else ""
exit_code = proc.wait()
if exit_code != 0:
raise RuntimeError(stderr.strip() or "git log failed")
def parse_git_block(block: list[str]) -> Iterable[dict[str, object]]:
if len(block) < 8:
return []
commit_hash = block[0]
parents = [entry for entry in block[1].split(" ") if entry]
author_name = block[2]
author_email = block[3]
author_date = block[4]
committer_name = block[5]
committer_email = block[6]
committer_date = block[7]
files = [line for line in block[8:] if line]
return [
{
"hash": commit_hash,
"parents": parents,
"is_merge": len(parents) > 1,
"author_name": author_name,
"author_email": author_email,
"author_date": author_date,
"committer_name": committer_name,
"committer_email": committer_email,
"committer_date": committer_date,
"files": files,
}
]
def main() -> int:
args = parse_args()
data_dir = Path(args.data_dir)
if not data_dir.exists():
print(f"Data directory not found: {data_dir}", file=sys.stderr)
return 1
since = parse_date(args.since) if args.since else None
until = parse_date(args.until) if args.until else None
try:
community_id, community_files = load_community_files(data_dir, args.file, args.community_id)
except (ValueError, FileNotFoundError) as exc:
print(str(exc), file=sys.stderr)
return 2
people = load_people(data_dir)
ignore_re = re.compile(args.ignore_author_regex) if args.ignore_author_regex else None
commits_path = data_dir / "commits.jsonl"
if commits_path.exists():
commit_iter = iter_commits_from_json(commits_path, since, until, args.date_field)
else:
if not args.repo:
print("--repo is required when commits.jsonl is missing", file=sys.stderr)
return 2
commit_iter = iter_commits_from_git(args.repo, args.since, args.until, args.include_merges)
commit_rows: list[tuple[dt.datetime, str, int, str, str]] = []
for commit in commit_iter:
if commit.get("is_merge") and not args.include_merges:
continue
files = commit.get("files", [])
in_community = sum(1 for path in files if path in community_files)
if in_community == 0:
continue
identity_name = commit.get(f"{args.identity}_name", "")
identity_email = commit.get(f"{args.identity}_email", "")
date_value = commit.get(f"{args.date_field}_date")
if not date_value:
print(
"Missing committer fields in commits.jsonl. Re-run build or pass --repo.",
file=sys.stderr,
)
return 2
commit_date = parse_date(date_value)
person_id = identity_email or identity_name
if ignore_re and ignore_re.search(identity_name or ""):
continue
if ignore_re and ignore_re.search(identity_email or ""):
continue
touches = 1 if args.touch_mode == "commit" else in_community
commit_rows.append((commit_date, person_id, touches, identity_name, identity_email))
if person_id not in people:
people[person_id] = {
"name": identity_name,
"email": identity_email,
"primary_tz_offset": "",
}
if not commit_rows:
print("No commits touching community files for the selected window.", file=sys.stderr)
return 0
commit_rows.sort(key=lambda row: row[0])
period_counts: dict[str, Counter[str]] = defaultdict(Counter)
period_totals: dict[str, float] = defaultdict(float)
min_date = commit_rows[0][0]
max_date = commit_rows[-1][0]
if args.bucket == "quarter":
period_cursor = quarter_start(min_date)
period_end_anchor = quarter_start(max_date)
step_months = 3
key_func = quarter_key
end_func = quarter_end
else:
period_cursor = dt.datetime(min_date.year, min_date.month, 1, tzinfo=dt.timezone.utc)
period_end_anchor = dt.datetime(max_date.year, max_date.month, 1, tzinfo=dt.timezone.utc)
step_months = 1
key_func = month_key
end_func = month_end
while period_cursor <= period_end_anchor:
bucket_end = end_func(period_cursor)
bucket_key = key_func(bucket_end)
if args.window_days > 0:
window_start = bucket_end - dt.timedelta(days=args.window_days)
def in_bucket(commit_date: dt.datetime) -> bool:
return window_start <= commit_date <= bucket_end
else:
if args.bucket == "quarter":
bucket_start = quarter_start(period_cursor)
def in_bucket(commit_date: dt.datetime) -> bool:
return bucket_start <= commit_date <= bucket_end
else:
def in_bucket(commit_date: dt.datetime) -> bool:
return (
commit_date.year == bucket_end.year
and commit_date.month == bucket_end.month
)
for commit_date, person_id, touches, _name, _email in commit_rows:
if not in_bucket(commit_date):
continue
weight = 1.0
if args.weight == "recency":
age_days = (bucket_end - commit_date).total_seconds() / 86400.0
weight = recency_weight(age_days, args.half_life_days)
contribution = touches * weight
period_counts[bucket_key][person_id] += contribution
period_totals[bucket_key] += contribution
period_cursor = add_months(period_cursor, step_months)
writer = csv.writer(sys.stdout)
writer.writerow(
[
"period",
"rank",
"name",
"email",
"primary_tz_offset",
"community_touches",
"touch_share",
]
)
for period in sorted(period_counts.keys()):
total = period_totals[period]
ranked = sorted(period_counts[period].items(), key=lambda item: item[1], reverse=True)
rank = 0
for person_id, touches in ranked:
if touches < args.min_touches:
continue
share = touches / total if total else 0.0
if share < args.min_share:
continue
rank += 1
if rank > args.top:
break
person = people.get(person_id, {})
if args.weight == "recency":
touches_value = f"{touches:.4f}"
else:
touches_value = f"{touches:.0f}"
writer.writerow(
[
period,
rank,
person.get("name", ""),
person.get("email", person_id),
person.get("primary_tz_offset", ""),
touches_value,
f"{share:.4f}",
]
)
return 0
if __name__ == "__main__":
raise SystemExit(main())
Requirements and compatibility
Written for: OpenAI Codex
Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta
“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.
Needs: Needs Python, Needs Node.js
Security
What our scanner noticed· Low risk
- Instructions that use the network
- Scripts that your agent may run
This skill includes scripts that your agent may run. Read them before you use it.
A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.
Attribution and licence
- Published by
- OpenAI
- Publisher
- OpenAI (Official)
- Source
- openai/skills · skills/.curated/security-ownership-map · commit 49f948f
- Licence
- Apache License 2.0 (redistribution allowed)
- ATTRIBUTION.md (written by AutoGineer)
- Synced
AutoGineer is not affiliated with or endorsed by OpenAI or OpenAI.
Download ZIP
The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download security-ownership-map.zip