ai-llm-security-review SKILL.md skillA
ai-llm-security-review from 26zl/cybersec-toolkit is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add 26zl/cybersec-toolkit/ai-llm-security-review@git:20260602.549fd9bPins git:20260602.549fd9b in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- 26zl/cybersec-toolkit
- Path
.claude/skills/ai-llm-security-review/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260602.549fd9b, committed Jun 2, 2026
- Size
- 1,686 bytes
- Repository stars
- 87
- License
- MIT
Use for AI/LLM security assessments, prompt injection, RAG security, agent/tool permissioning, model supply chain, LLM red teaming, AI governance, eval design, data leakage, jailbreak testing, and secure AI application review.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# AI and LLM security review Use this skill for AI applications, agents, RAG systems, model gateways, prompt chains, evals, and LLM governance. ## Review workflow 1. Inventory the AI system: model/provider, prompts, tools, RAG sources, memory, logs, user roles, secrets, data classes, and downstream actions. 2. Threat model trust boundaries: - user input to prompt - retrieved content to model - model output to tools - tool output to user - logs/traces to operators 3. Test high-risk paths: - direct and indirect prompt injection - data exfiltration from RAG or memory - insecure tool invocation - overbroad agent permissions - jailbreaks that change policy or role - model/provider key leakage - training/eval data contamination 4. Recommend controls: - least-privilege tool scopes - allowlisted tool schemas and argument validation - retrieval filtering and source attribution - secret redaction before prompts/logs - output validation before side effects - human approval for destructive or external actions - continuous evals and regression prompts ## Deliverables Return findings as: …
Read the whole file at its exact version.
How to install
mdr add 26zl/cybersec-toolkit/ai-llm-security-review@sha256:e58b380bdfc44d5dThe line at the top of this page pins the label git:20260602.549fd9b, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_s4jet2pjcowfizq6)
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Versions
The registry has recorded 1 version of this file, committed on Jun 2, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (1686 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
26zl/cybersec-toolkit · 87 stars · license MIT · pushed 2026-11-01 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_s4jet2pjcowfizq6 GET https://markdownregistry.com/api/v1/resolve?ref=26zl/cybersec-toolkit/ai-llm-security-review GET https://markdownregistry.com/api/v1/blob/e58b380bdfc44d5dc9ec9787b3f877d669a3ca0a284cf86cd5d05a7dec1f2a92
Your AI assistant 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.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.