agentic-owasp

agentic-owasp is a skill for Claude Code, Codex from Ovid/paad. It costs 84 tokens per session (151 once invoked), scanned A, original, MIT.

A security code-review workflow based on the OWASP Top 10:2025, a widely used list of common web-application security risks. It covers areas such as access control, authentication, injection, cryptography, and error handling.

In plain words
What is it for?
Use it to review code for OWASP risks, including insecure design, supply-chain problems, logging gaps, and mishandled exceptions.
Why use it?
It helps find security weaknesses in source code before they become vulnerabilities in a running system.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to review code for OWASP risks, including insecure design, supply-chain…

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ovid/paad/agentic-owasp
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 Ovid/paad --skill agentic-owasp
Clone the repo
git clone --depth 1 https://github.com/Ovid/paad

Made for: Claude Code, 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 agentic-owasp

README.md
[![agentmods](https://agentmods.dev/badge/skills/ovid/paad/agentic-owasp.svg)](https://agentmods.dev/skills/ovid/paad/agentic-owasp)
Your own site
<a href="https://agentmods.dev/skills/ovid/paad/agentic-owasp"><img src="https://agentmods.dev/badge/skills/ovid/paad/agentic-owasp.svg" alt="Measured on agentmods" height="20"></a>
Per session 84 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 151 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.
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 $0.00084 $0.00151
Opus 5 $0.00042 $0.00076
Sonnet 5 $0.00017 $0.00030
Haiku 4.5 $0.00008 $0.00015

Measured 7d ago against content hash 323b0d2b9090, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

agentic-owasp 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 7d ago.

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.

kiro_and_antigravity/skills/.agent/skills/agentic-owasp/SKILL.md · 12 lines

What it actually says

OWASP Top 10:2025 Code Review (Antigravity Wrapper)

This is a project-specific skill. The detailed checklist and procedures are in: .kiro/skills/agentic-owasp/SKILL.md

Please refer to that file for the full criteria.

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. 7d ago First seen · 12 lines · 84 tokens per session scan A 323b0d2b9090

Subscribe to this mod's changes

agentic-owasp is a skill published in the GitHub repository Ovid/paad (110 stars, last pushed yesterday), licensed MIT. It adds 84 tokens to every session and 151 once invoked, about $0.0004 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 2026-08-30.

Related

Other skills, from other repositories

review-delta

Review only changes since last commit using impact analysis. Token-efficient delta review with automatic blast-radius detection.

tirth8205/code-review-graph · 24 tokens

pre-landing-review

Pre-landing PR review. Analyzes diff against the base branch for SQL safety, LLM trust boundary violations, conditional side effects, and other structural issues. Use when explicitly asked for the specialized pre-landing workflow. Product /review requests are handled by OpenBitFun's unified Review mechanism instead.…

GCWing/BitFun · 75 tokens

pr-review-canvas

Create a OpenBitFun Canvas for reviewing a pull request, branch diff, or change set with Cursor-style diff cards, review maps, risk callouts, and focused reviewer flow. Use when the user asks for a PR review canvas, diff walkthrough, change-set overview, or visual review summary.

GCWing/BitFun · 64 tokens

go-testing

Trigger: Go tests, go test coverage, Bubbletea teatest, golden files. Apply focused Go testing patterns.

Gentleman-Programming/gentle-ai · 26 tokens

find-simplifications

Use for a periodic repo-wide sweep of qwen-code for accumulated excess surface — dead components and files, orphaned locale keys, exports nothing consumes, added-then-removed scaffolding — filing candidates on a tracking issue and landing only what a maintainer has said yes to. Repo-wide and evidence-first; every…

QwenLM/qwen-code · 103 tokens

cross-model-review

A second-opinion code review that asks a different AI model to independently inspect a change, then compares both reviews. It focuses on logic, security, consistency, and omissions.

hashgraph-online/awesome-codex-plugins · 56 tokens