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ai-app-security-review

Use when model providers, agents, RAG, tools, AI SDKs, prompt injection, tool-call safety, retrieval grounding, provider error leakage, or telemetry redaction…

Skill by priyanshuchawda

IndexedMIT★ 1
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Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/priyanshuchawda-ai-app-security-review

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Use when model providers, agents, RAG, tools, AI SDKs, prompt injection, tool-call safety, retrieval grounding, provider error leakage, or telemetry redaction matter.

Use cases: ml, security, agent-building

Reviews

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/ai-app-security-review

What's inside

Skill name
ai-app-security-review
Description
Use when model providers, agents, RAG, tools, AI SDKs, prompt injection, tool-call safety, retrieval grounding, provider error leakage, or telemetry redaction matter.
License
MIT
Metadata
internal: true
Instructions
16 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

SKILL.md (first lines)

# AI App Security Review

## Required Checks

- Prompt injection boundaries between user, retrieved, system, and tool content.
- Tool-call allowlists, parameter validation, and destructive-action approval.
- Retrieval/document grounding and citation expectations.
- Model provider error handling without raw provider leakage.
- User input boundaries before prompts, tools, database writes, and outbound requests.
- Logging and telemetry redaction for prompts, documents, tokens, cookies, and keys.

## Output

Group findings by trust boundary. Prefer specific mitigations such as schema validation, allowlisted tools, redacted logs, and explicit human approval gates.

From priyanshuchawda/codeaudit, MIT.

More from priyanshuchawda/codeaudit

Signals

Stars
1
Forks
0
Open issues
0
Last commit (this folder)
May 4, 2026 (6 months ago)
Last release
May 4, 2026 (6 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
Repository
github.com/priyanshuchawda/codeaudit
First seen
Oct 24, 2026
Last checked
Oct 24, 2026
Source
GitHubgithub-graphql

More from priyanshuchawda

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ai-app-security-review skill. Agent Mart. https://agentmart.dev/skills/priyanshuchawda-ai-app-security-review (last updated 2026-10-24)