security-ownership-map

security-ownership-map is a skill for Codex from PracticalSwan/agent-skills. It costs 99 tokens per session (2,610 once invoked), scanned A, original, MIT.

A Git-history analysis that maps people to files, measures security-code ownership and bus-factor risk, and exports data for graph analysis. Bus factor means how many people can maintain an important area before knowledge is lost.

In plain words
What is it for?
Building security ownership maps, measuring contributor and file relationships, grouping files that change together, and exporting CSV, JSON, or graph data.
Why use it?
It reveals files that depend on too few maintainers and helps identify ownership risks around sensitive code.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: mentions Claude Code; mentions Codex.

Good fit Building security ownership maps, measuring contributor and file relationships, grouping files that change together, and exporting CSV, JSON, or graph data.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/practicalswan/agent-skills/security-ownership-map
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add PracticalSwan/agent-skills --skill security-ownership-map
Clone the repo
git clone --depth 1 https://github.com/PracticalSwan/agent-skills

Made for: Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for security-ownership-map

README.md
[![agentmods](https://agentmods.dev/badge/skills/practicalswan/agent-skills/security-ownership-map.svg)](https://agentmods.dev/skills/practicalswan/agent-skills/security-ownership-map)
Your own site
<a href="https://agentmods.dev/skills/practicalswan/agent-skills/security-ownership-map"><img src="https://agentmods.dev/badge/skills/practicalswan/agent-skills/security-ownership-map.svg" alt="Measured on agentmods" height="20"></a>
Per session 99 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,610 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 2 findings, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Prompt Injection · line 210
    Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.
    Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
  • medium Tool Misuse · line 172
    Tool defaults are unsafe or overly permissive (e.g. disabled TLS verification, no authentication, world-writable permissions). Unsafe defaults widen the attack surface.
    Fix: Override unsafe defaults with secure settings (verify=True, auth required, restrictive permissions). Review and harden all tool configurations.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00099 $0.02610
Opus 5 $0.00049 $0.01305
Sonnet 5 $0.00020 $0.00522
Haiku 4.5 $0.00010 $0.00261

Measured today against content hash d8854a1e25ec, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

security-ownership-map scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured today.

The scan reads SKILL.md. This mod also ships 4 executable files (scripts/build_ownership_map.py, scripts/community_maintainers.py, scripts/query_ownership.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

security-ownership-map/SKILL.md · 257 lines

How it starts

The opening of the file, as written. The whole thing — 257 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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.

Read the full file on GitHub · 257 lines

Files

What ships with it

8 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. today Changed d8854a1e25ec
  2. 2d ago Changed c65c83f5d3b2
  3. 4d ago First seen · 257 lines · 99 tokens per session scan A ebe9ec41c23f

Subscribe to this mod's changes

security-ownership-map is a skill published in the GitHub repository PracticalSwan/agent-skills (13 stars, last pushed today), licensed MIT. It adds 99 tokens to every session and 2,610 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.