SaferSkills independently audited Codex Mcp Tool (Agent Skill) and scored it 92/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 2 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 2 flagged
The text {match} tells the agent to skip the normal "ask the user first" gate. Used adversarially it removes the human-in-the-loop check before destructive or sensitive actions, turning a normally-gated agent into a fire-and-forget executor.
The text {match} tells the agent to skip the normal "ask the user first" gate. Used adversarially it removes the human-in-the-loop check before destructive or sensitive actions, turning a normally-gated agent into a fire-and-forget executor.
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
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MCP server connecting Claude/Cursor to Codex CLI. Enables code analysis via @ file references, multi-turn conversations, sandboxed edits, and structured change mode.
@src/, @package.json syntaxcodex resume for context preservation (CLI v0.36.0+)localProvidersearch: true--full-autoclaude mcp add codex-cli -- npx -y @trishchuk/codex-mcp-toolPrerequisites: Node.js 18+, Codex CLI installed and authenticated.
{
"mcpServers": {
"codex-cli": {
"command": "npx",
"args": ["-y", "@trishchuk/codex-mcp-tool"]
}
}
}Config locations: macOS: ~/Library/Application Support/Claude/claude_desktop_config.json | Windows: %APPDATA%\Claude\claude_desktop_config.json
// File analysis
'explain the architecture of @src/';
'analyze @package.json and list dependencies';
// With specific model
'use codex with model gpt-5.5 to analyze @algorithm.py';
// Multi-turn conversations (v1.4.0+)
'ask codex sessionId:"my-project" prompt:"explain @src/"';
'ask codex sessionId:"my-project" prompt:"now add error handling"';
// Brainstorming
'brainstorm ways to optimize CI/CD using SCAMPER method';
// Sandbox mode
'use codex sandbox:true to create and run a Python script';
// Web search
'ask codex search:true prompt:"latest TypeScript 5.7 features"';
// Local OSS model (Ollama)
'ask codex localProvider:"ollama" model:"qwen3:8b" prompt:"explain @src/"';| Tool | Description |
|---|---|
ask-codex | Execute Codex CLI with file analysis, models, sessions |
brainstorm | Generate ideas with SCAMPER, design-thinking, etc. |
list-sessions | View/delete/clear conversation sessions |
health | Diagnose CLI installation, version, features |
ping / help | Test connection, show CLI help |
By default the model parameter is omitted and Codex CLI applies the default model from your ~/.codex/config.toml (e.g. model = "gpt-5.5"). Pass model only when you need to override the configured default for a single call. Reasoning depth is calibrated per tool:
ask-codex — uses Codex CLI default reasoning (medium). Pass reasoningEffort: "high" / "xhigh" for harder tasks.brainstorm, do-act, review-changes — default reasoningEffort: "high" (creative ideation, act-check-fix loops, and code review benefit from deeper reasoning).| Model | Use Case |
|---|---|
gpt-5.5 | Frontier model for complex coding, research, agentic work |
gpt-5.4 | Strong model for everyday coding |
gpt-5.4-mini | Small, fast, cost-efficient for simpler coding tasks |
gpt-5.3-codex | Coding-optimized model |
gpt-5.2 | Optimized for professional work and long-running agents |
Multi-turn conversations with workspace isolation:
{ "prompt": "analyze code", "sessionId": "my-session" }
{ "prompt": "continue from here", "sessionId": "my-session" }
{ "prompt": "start fresh", "sessionId": "my-session", "resetSession": true }Environment:
CODEX_SESSION_TTL_MS - Session TTL (default: 24h)CODEX_MAX_SESSIONS - Max sessions (default: 50)Run with local Ollama or LM Studio instead of OpenAI:
// Ollama
{ "prompt": "analyze @src/", "localProvider": "ollama", "model": "qwen3:8b" }
// LM Studio
{ "prompt": "analyze @src/", "localProvider": "lmstudio", "model": "my-model" }
// Auto-select provider
{ "prompt": "analyze @src/", "oss": true }Requirements: Ollama running locally with a model that supports tool calling (e.g. qwen3:8b).
| Parameter | Description |
|---|---|
model | Model selection |
sessionId | Enable conversation continuity |
sandbox | Enable --full-auto mode |
search | Enable web search |
changeMode | Structured OLD/NEW edits |
addDirs | Additional writable directories |
toolOutputTokenLimit | Cap response verbosity (100-10,000) |
reasoningEffort | Reasoning depth: low, medium, high, xhigh |
oss | Use local OSS model provider |
localProvider | Local provider: lmstudio or ollama |
| Version | Features |
|---|---|
| v0.60.0+ | GPT-5.2 model family |
| v0.59.0+ | --add-dir, token limits |
| v0.52.0+ | Native --search flag |
| v0.36.0+ | Native codex resume (sessions) |
codex --version # Check CLI version
codex login # AuthenticateUse health tool for diagnostics: 'use health verbose:true'
v2.2.x → v2.3.0: gpt-5.5 as new default, added gpt-5.4-mini, dropped retired models (gpt-5.3-codex-spark, gpt-5.2-codex, gpt-5.1-codex-max, gpt-5.1-codex-mini).
v2.0.x → v2.1.0: gpt-5.4 as new default model, updated fallback chain.
v1.5.x → v1.6.0: Local OSS model support (localProvider, oss), gpt-5.3-codex default model, xhigh reasoning effort.
v1.3.x → v1.4.0: New sessionId parameter, list-sessions/health tools, structured error handling. No breaking changes.
MIT License. Not affiliated with OpenAI.
Documentation | Issues | Inspired by jamubc/gemini-mcp-tool
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.