mcpField
A
add-guard-protection

add-guard-protection

github.com/arcjetSecurity450 installsUpdated 3w ago
Repository

About add-guard-protection

A skill for adding Arcjet Guard protection to JavaScript/TypeScript and Python code paths without HTTP requests. It guides setup and inline checks for rate limits, prompt injection, and sensitive information.

Key features

  1. 01JavaScript/TypeScript and Python setup
  2. 02Rate limiting rule configuration
  3. 03Prompt injection detection
  4. 04Sensitive information blocking
  5. 05Inline guard decision handling

Use cases

  1. 01Protect AI agent tool calls
  2. 02Add checks to MCP tool handlers
  3. 03Limit background job or queue processing

MCP support

It describes using Arcjet Guard to protect MCP tool handlers. If the Arcjet MCP server is connected, the skill can use it to find sites and retrieve a key.

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/arcjet/skills --skill add-guard-protection

After installing, type/add-guard-protectionin Claude Code to confirm it loaded.

Bundled filesreferences/javascript.mdreferences/python.md

Details

From the project README

Add Arcjet Guard Protection

Arcjet Guard provides rate limiting, prompt injection detection, sensitive information blocking, and custom rules for code paths that don't have an HTTP request — AI agent tool calls, MCP tool handlers, background job processors, queue workers, and similar.

Step 0: Set Up the Arcjet CLI

The Arcjet CLI is the primary tool for authenticating, managing sites, configuring remote rules, and monitoring traffic. Install it if not already available:

# Via npx (no install required)
npx @arcjet/cli --help

# Or install globally via npm
npm install -g @arcjet/cli

# Or via Homebrew
brew install arcjet
Authenticate
arcjet auth login

Opens the browser for authentication. Check status with arcjet auth status.

Site & Key Setup
# List your teams
arcjet teams list

# List sites for a team
arcjet sites list --team-id <team-id>

# Create a new site
arcjet sites create --team-id <team-id> --name "My Guard App" --confirm

# Get the SDK key for a site
arcjet sites get-key --site-id <site-id>

Add the key to your environment file (.env, .env.local, etc.) as ARCJET_KEY.

Step 1: Detect the Language and Install

Check the project for language indicators:

  • package.json → JavaScript/TypeScript → npm install @arcjet/guard (requires @arcjet/guard >= 1.4.0)
  • requirements.txt / pyproject.toml → Python → pip install arcjet (requires arcjet >= 0.7.0; Guard is included)
  • go.mod, Cargo.toml, pom.xml, or other languages → Guard is not available. Tell the user that Arcjet Guard currently only supports JavaScript/TypeScript and Python. Do not create a hand-rolled imitation or hallucinate a package that doesn't exist. Suggest they reach out to Arcjet with their use case.

Step 2: Read the Language Reference

You must read the reference file for the detected language before writing any code. The references contain the exact imports, constructor signatures, rule configuration syntax, and guard() call patterns for that language.

Do not guess at the API. The reference files are the source of truth for all code patterns.

Step 3: Create the Guard Client (Once, at Module Scope)

The client holds a persistent connection. Create it once at module scope and reuse it — never inside a function or per-call. Name the variable arcjet.

Check if ARCJET_KEY is set in the environment file (.env, .env.local, etc.). If not, obtain the key in this priority order:

  1. CLI (preferred): Run arcjet sites get-key --site-id <site-id> (requires arcjet auth login first — see Step 0)
  2. MCP: If the Arcjet MCP server is connected, use it to list sites and retrieve the key
  3. Manual (last resort): Add a placeholder and tell the user to get a key from https://app.arcjet.com

Step 4: Configure Rules at Module Scope

Rules are configured once as reusable factories, then called with per-invocation input. This two-phase pattern matters — the rule config carries a stable ID used for server-side aggregation, while the per-call input varies.

When configuring rate limit rules, set bucket to a descriptive name (e.g. "tool-calls", "session-api") for semantic clarity and fewer collisions.

Choosing Rules by Use Case
Use caseRecommended rules
AI agent tool callstokenBucket + detectPromptInjection
MCP tool handlersslidingWindow or tokenBucket + detectPromptInjection
Background AI task processortokenBucket + localDetectSensitiveInfo
Queue worker with user inputtokenBucket + detectPromptInjection + localDetectSensitiveInfo
Scanning tool results for injectiondetectPromptInjection (scan the returned content)

Step 5: Call guard() Inline Before Each Operation

Call guard() directly where each operation happens — inline in each tool handler, task processor, or function that needs protection. Do not wrap guard in a shared helper function.

Each guard() call takes:

  • label: descriptive string for the dashboard (e.g. "tools.search_web", "tasks.generate")
  • rules: array of bound rule invocations
  • metadata (optional): key-value pairs for analytics/auditing (e.g. { userId })

Rate limit rules take an explicit key string — use a user ID, session ID, API key, or any stable identifier.

You MUST modify the existing source files — adding the dependency to package.json/requirements.txt alone is not enough. The guard() calls must be integrated into the actual code.

Step 6: Handle Decisions

Always check decision.conclusion:

  • "DENY" → block the operation. Use per-rule result accessors (see reference) for specific error messages like retry-after times.
  • "ALLOW" → safe to proceed

See the language reference for the exact decision-checking pattern and per-rule result accessors.

Common Mistakes to Avoid

  • Wrapping guard in a shared helper function — calling guard() through a guardToolCall() or protectCall() wrapper hides which rules apply to each operation. Call guard() inline where each operation happens.
  • Creating the client per call — the client holds a persistent connection. Create it once at module scope.
  • Configuring rules inside a function — rule configs carry stable IDs. Creating them per call breaks dashboard tracking and rate limit state.
  • Forgetting the key parameter on rate limit rules — without a key, Guard can't track per-user limits.
  • Forgetting bucket on rate limit rules — without a named bucket, different rules may collide.
  • Using the HTTP SDK when there's no request — use @arcjet/guard / arcjet.guard for non-HTTP code, not @arcjet/node, @arcjet/next, or arcjet().
  • Not checking decision.conclusion — always check before proceeding.
  • Generic DENY messages — use per-rule result accessors to give users specific feedback like retry-after times.

Step 7: Verify Guard Decisions with the CLI (Coming Soon)

Note: The arcjet guards CLI subcommand is not yet released. Once available, use this feedback loop to verify guard decisions are firing correctly.

After adding guard code, use the CLI to verify decisions are firing correctly. This creates a feedback loop: run the app, trigger a guard, inspect the decision, adjust if needed.

1. Start Watching

In a separate terminal, start streaming guard decisions:

arcjet guards watch --site-id <site-id>

This polls for new guard decisions and prints them as they arrive. Use --conclusion DENY to filter to denials only, or --interval 2 for faster polling.

2. Trigger the Guard

Run the application and exercise the code paths that call guard(). Each call should produce a decision visible in the watch output.

3. Inspect Decisions

If a decision doesn't match expectations, inspect it:

# List recent guard decisions
arcjet guards list --site-id <site-id>

# Get per-rule breakdown for a specific decision
arcjet guards details --site-id <site-id> --decision-id <decision-id>

The details view shows each rule execution, its mode (live/dry-run), conclusion, reason, and whether it was skipped — use this to diagnose why a guard allowed or denied unexpectedly.

4. Adjust and Repeat

If rules aren't firing as expected:

  • Check the label matches what appears in the decision
  • Verify the key is correct for rate limit rules (wrong key = wrong bucket)
  • Confirm the bucket name is unique per rule
  • Check rule ordering — rules execute in array order and a DENY from an earlier rule short-circuits later ones

Then re-run and watch again until decisions match expectations.

CLI Quick Reference

TaskCommand
Install/run CLInpx @arcjet/cli or brew install arcjet
Authenticatearcjet auth login
Check auth statusarcjet auth status
List teamsarcjet teams list
List sitesarcjet sites list --team-id <id>
Create sitearcjet sites create --team-id <id> --name "Name" --confirm
Get SDK keyarcjet sites get-key --site-id <id>
Watch guard decisionsarcjet guards watch --site-id <id>
List guard decisionsarcjet guards list --site-id <id>
Guard decision detailsarcjet guards details --site-id <id> --decision-id <id>
Global Flags

All commands support:

  • --output text|json — output format (default: text on TTY, json otherwise)
  • --fields <list> — comma-separated fields to include in JSON output
  • --no-color — disable ANSI colors (also honors NO_COLOR env var)
  • --timeout <duration> — max execution time (e.g. 30s, 5m; 0 disables)
Exit Codes
CodeMeaning
0Success
1General error (unknown command, API failure, network error)
2Authentication error (not logged in, token expired)
3Input validation error (invalid ID, value out of range)
4Confirmation required (mutation needs --confirm)

Comments

Markdown supported