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security-owasp-agentic

security-owasp-agentic is a skill for Codex from ashermahonin/agentic-skills. It costs 75 tokens per session (741 once invoked), scanned A, original, MIT.

A security review method for AI systems that can use tools, keep memory, act under an identity, or delegate work. It checks these systems against OWASP Agentic Application risks; OWASP is a security organization that publishes risk guidance.

In plain words
What is it for?
Use it to inventory agent tools and credentials, assess abuse cases, define allowed autonomy, and verify safeguards such as a kill switch.
Why use it?
It exposes risks caused by an agent's permissions, memory, tools, delegated work, and ability to act. It also records boundaries, recovery controls, and whether a release should proceed.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: mentions subagents.

not rated 10repo 2mo ago A scan 75 tokens original MIT

Good fit Use it to inventory agent tools and credentials, assess abuse cases, define allowed autonomy, and verify safeguards such as a kill switch.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ashermahonin/agentic-skills/security-owasp-agentic
View source ↗ ashermahonin/agentic-skills
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 ashermahonin/agentic-skills --skill security-owasp-agentic
Clone the repo
git clone --depth 1 https://github.com/ashermahonin/agentic-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-owasp-agentic

README.md
[![agentmods](https://agentmods.dev/badge/skills/ashermahonin/agentic-skills/security-owasp-agentic/github.svg)](https://agentmods.dev/skills/ashermahonin/agentic-skills/security-owasp-agentic)
Your own site
<a href="https://agentmods.dev/skills/ashermahonin/agentic-skills/security-owasp-agentic"><img src="https://agentmods.dev/badge/skills/ashermahonin/agentic-skills/security-owasp-agentic/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for security-owasp-agentic

Your own site · 80×15
<a href="https://agentmods.dev/skills/ashermahonin/agentic-skills/security-owasp-agentic"><img src="https://agentmods.dev/badge/skills/ashermahonin/agentic-skills/security-owasp-agentic.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 75 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 741 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 $0.00075 $0.00741
Opus 5.5 $0.00030 $0.00296
Sonnet 5.5 $0.00015 $0.00148
Haiku 4.5 $0.00007 $0.00074

Measured 2mo ago against content hash 1bc30ac14cf6, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

security-owasp-agentic 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 2mo 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.

agentic/skills/security-owasp-agentic/SKILL.md · 59 lines

How it starts

The opening of the file, as written. The whole thing — 59 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Security: OWASP Agentic AI

Purpose

Treat an agent as a stateful, tool-using actor with broader blast radius than a normal LLM. Walk through the OWASP Top 10 for Agentic Applications, lock the autonomy budget, prove the kill switch works, and only then approve release.

Scope and evidence

  1. Read references/owasp-agentic.md.
  2. Inventory the agent: planner/loop type, memory stores, tools, sub-agents, scopes/credentials per tool, escalation paths, kill switches.
  3. Pull the LLM threat surface from security-owasp-llm and the secrets posture from security-secrets.
  4. Use Context7 MCP for current OWASP Agentic AI guidance and current agent-framework safety patterns (Anthropic Agent SDK, LangChain, LlamaIndex, AutoGen, CrewAI, etc.).

Assessment

  1. For each current ASI category (goal hijack, tool misuse, identity and privilege abuse, agentic supply chain, unexpected code execution, memory/context poisoning, inter-agent communication, cascading failures, human-agent trust exploitation, rogue agents), mark Pass/Concern/Fail/Out-of-scope.
  2. Build an autonomy budget per agent: allowed actions, allowed time, allowed cost, allowed destructive operations, mandatory human-in-the-loop steps.
  3. Verify least privilege per tool: scope, identity, audit trail, revocation path.
  4. Run abuse-case evals: poisoned memory injection, ambiguous goal injection, tool spoofing, RCE-via-tool-output, cascading-loop test, kill-switch trigger test.
  5. Confirm the kill switch: how a user, operator, or monitor can halt the agent within a bounded time; verify by drill.
  6. Produce remediation plan, owner per finding, and release-gate verdict.

Safety rules

  • Use Context7 MCP for current OWASP Agentic AI categories and current framework safety affordances.
  • Keep a decision trace: agent architecture, autonomy budget, tool inventory with scopes, eval evidence.
  • Refuse to approve any agent with destructive tools and no working kill switch.
  • Escalate before granting any agent access to credentials, payments, public posting, or production write paths.

Read the full file on GitHub · 59 lines

Files

What ships with it

2 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. 2mo ago First seen · 59 lines · 75 tokens per session scan A 1bc30ac14cf6

Subscribe to this mod's changes

security-owasp-agentic is a skill published in the GitHub repository ashermahonin/agentic-skills (10 stars, last pushed 2mo ago), licensed MIT. It adds 75 tokens to every session and 741 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-08-31.

Building agentsSecurity
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