Home / ulises-jeremias / agent-toolkit · plugins/agent-toolkit-complete/.github/skills/owasp-agentic-review/SKILL.md · GitHub

owasp-agentic-review skillA

owasp-agentic-review is agent-read markdown (skill) from ulises-jeremias/agent-toolkit: OWASP-mapped agentic security review — prompt injection, tool poisoning, identity, excessive agency, credential exposure, supply-chain, insecure output handling, overreliance, data leakage, insecure plugin/MCP design. Evidence-cited, severity-ranked..

Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.

What the file says

# OWASP Agentic Review — Prompt Injection, Tool Poisoning, Agency & Supply Chain

Curated OWASP LLM Top 10 (2025) + OWASP Agentic Security review for **agents, skills, plugins, hooks, MCP, tool use, prompt handling, and provenance**. Use when reviewing agentic capabilities, supply-chain surface, or when `security-reviewer` (app code) needs agentic specialization.

**Evidence-cited, severity-ranked — do not hallucinate findings.** Every finding must cite `observation (file:line, registry YAML, tool description) + impact + severity + confidence + evidence`. Delegates to `supply-chain-audit` + `mcp-audit` for supply-chain/MCP depth.

> **OWASP source:** OWASP Top 10 for LLM Applications 2025 (v1.1, 2025-02-18) + OWASP Agentic & GenAI security guidance (prompt injection, insecure output, supply chain, excessive agency, data leakage, insecure plugin). Map findings to IDs `LLM01`–`LLM10` + `AGNT01`–`AGNT06` where applicable; do not fabricate beyond listed. Cite https://owasp.org/www-project-top-10-for-large-language-model-applications/ and https://owasp.org/www-project-agentic-security/ where mapping.

## OWASP LLMs / Agentic mapping (curated checklist)
…

Read the whole file at its exact version.

How to install

Latest version
mdr add ulises-jeremias/agent-toolkit/owasp-agentic-review@git:20260831.856ee57
Exact content
mdr add ulises-jeremias/agent-toolkit/owasp-agentic-review@sha256:50706d0494351ea6

Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_o234fz67lekha32q.svg)](https://markdownregistry.com/a/art_o234fz67lekha32q)

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Versions

versioncommittedcommitsizeaudit
git:20260831.856ee57 latest2026-08-31 856ee57 8,652 BA view

Audit of the latest version

A  17 of 17 checks passed. Deterministic, no model, same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (8652 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

ulises-jeremias/agent-toolkit · 18 stars · license MIT · pushed 2026-09-21 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_o234fz67lekha32q
GET https://markdownregistry.com/api/v1/resolve?ref=ulises-jeremias/agent-toolkit/owasp-agentic-review
GET https://markdownregistry.com/api/v1/blob/50706d0494351ea6a36eb4c0ca6cff12d53bd096097f9f6a5a0f4db5862715b9

Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

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