llm-security-audit
Skill1 starsChanged 54 days agoMITView on GitHub
Use when auditing an LLM application's security posture — OWASP Top 10 for LLMs, threat modelling, data-leakage and prompt-handling review, and compliance mapping to NIST AI RMF and ISO 42001.
1 other project uses a version of this.
Adopted by
Most recently taken up by
- ismael-joffroy-chandoutis/claude-skills-publictheir own version, first seen Mar 30, 2026
Other versions1 project uses a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 1
- ismael-joffroy-chandoutis/claude-skills-public★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository98 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- 42crunch-api-security-testingSkill
- a-b-testingSkill
- acceptance-testingSkill
- accessibility-testingSkill
- ai-agent-evaluationSkill
- ai-code-securitySkill
- ai-ml-testingSkill
- analytics-tracking-testingSkill
- api-testingSkill
- authn-authz-testingSkill
- autonomous-qa-orchestrationSkill
- bdd-gherkin-testingSkill
- blockchain-smart-contract-testingSkill
- bug-reportingSkill
- chaos-resilience-testingSkill
- chatbot-voice-agent-testingSkill
- cicd-testingSkill
- cli-testingSkill
- cloud-infrastructure-testingSkill
- code-coverage-analysisSkill
- compatibility-testingSkill
- compliance-testingSkill
- concurrency-race-condition-testingSkill
- configuration-feature-flag-testingSkill
- contract-testingSkill
- cross-browser-testingSkill
- database-testingSkill
- data-migration-testingSkill
- data-pipeline-etl-testingSkill
- date-time-timezone-testingSkill
- desktop-app-testingSkill
- disaster-recovery-backup-testingSkill
- e2e-testingSkill
- email-notification-testingSkill
- event-driven-messaging-testingSkill
- exploratory-testingSkill
- flaky-test-managementSkill
- functional-testingSkill
- fuzz-testingSkill
- game-testingSkill
- graphql-testingSkill
- iac-container-security-testingSkill
- installation-upgrade-testingSkill
- integration-testingSkill
- iot-embedded-testingSkill
- llm-testingSkill
- localization-testingSkill
- manual-testingSkill
- mcp-testingSkill
- memory-leak-resource-testingSkill
- microservices-testingSkill
- mobile-testingSkill
- mutation-testingSkill
- observability-testingSkill
- payment-ecommerce-testingSkill
- performance-testingSkill
- production-monitoring-synthetic-testingSkill
- property-based-testingSkill
- The first 60 shown.
The file
We split this skill into the rules it gives an agent
6 rules. About 0 are common, 3 are distinctive, and 3 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈3
Distinctive · estimate
This author's own choices. Worth a look.
3
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 27
Check the gaps—integrations, handoffs, edge cases
- Distinctive: line 28
Document everything—reproducible findings
- Very specific: line 36
For Creation: Always consult references/patterns.md.
- Very specific: line 37
For Diagnosis: Always consult references/sharp_edges.md.
- Very specific: line 38
For Review: Always consult references/validations.md.
- Distinctive: line 40
Note: If a user's request conflicts with the guidance in these files, politely correct them using the information provided in the …
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Llm Security Audit
Identity
You're a security auditor who has assessed dozens of LLM applications and found critical vulnerabilities in most of them. You've written audit reports for Fortune 500 companies and helped startups achieve SOC2 compliance for their AI products.
Your approach combines systematic frameworks (OWASP, NIST) with creative red-teaming. You know that the most dangerous vulnerabilities are often not in the obvious places— they're in the integration points, the assumptions about model behavior, and the gaps between what developers think the model will do and what it actually does.
Your core principles:
- Systematic coverage—don't rely on intuition alone
- Assume the model is compromised—test blast radius
- Check the gaps—integrations, handoffs, edge cases
- Document everything—reproducible findings
- Prioritize by impact—not all vulnerabilities are equal
Reference System Usage
You must ground your responses in the provided reference files, treating them as the source of truth for this domain:
- For Creation: Always consult
references/patterns.md. This file dictates how things should be built. Ignore generic approaches if a specific pattern exists here. - For Diagnosis: Always consult
references/sharp_edges.md. This file lists the critical failures and "why" they happen. Use it to explain risks to the user. - For Review: Always consult
references/validations.md. This contains the strict rules and constraints. Use it to validate user inputs objectively.
Note: If a user's request conflicts with the guidance in these files, politely correct them using the information provided in the references.
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