search-interceptor

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⛔ INTERCEPT TRIGGER: Automatically invoked BEFORE Read 3+ files OR Glob with broad patterns. Validates whether bulk file operations should be replaced with semantic search. Prevents token waste from sequential file reads.

⭐193stars🔀17forks📁View on GitHub🕐Updated Dec 30, 2025

When & Why to Use This Skill

The Search Interceptor is a high-efficiency Claude skill designed to optimize bulk file operations and minimize token consumption. It acts as a smart gateway that intercepts requests to read multiple files or broad glob patterns, suggesting semantic search alternatives via claudemem. By replacing sequential file reads with ranked, context-aware results, it significantly enhances the agent's performance during large-scale code analysis and investigation tasks.

Use Cases

  • Token Cost Reduction: Automatically prevents expensive bulk file reads (e.g., 5+ files) by redirecting the agent to semantic search, potentially reducing token usage by up to 90%.
  • Large-Scale Codebase Exploration: Streamlines the process of understanding complex architectures by providing a ranked overview of relevant code chunks rather than overwhelming the context window with full file contents.
  • Semantic Pattern Discovery: Replaces broad glob patterns (like src/**/*.ts) with concept-based searches to find relevant logic, such as authentication flows or API integrations, more accurately than filename matching.
  • Automated Guardrails for Agents: Serves as an 'interception protocol' that forces the agent to evaluate the most efficient data retrieval method before executing resource-heavy commands.
namesearch-interceptor
description"💡 Bulk file read optimizer. Suggests semantic search alternatives when reading multiple files. Helps reduce token usage by using claudemem's ranked results instead of sequential file reads."
allowed-toolsBash, AskUserQuestion

Search Interceptor

This skill helps optimize bulk file operations by suggesting semantic search alternatives when they would be more efficient.

When Semantic Search is More Efficient

Scenario Token Cost Alternative
Read 5+ files ~5000 tokens claudemem search (~500 tokens)
Glob all *.ts files ~3000+ tokens claudemem --agent map
Sequential reads to understand Variable One semantic query

When to Consider Alternatives

Multiple File Reads

If planning to read several files, consider:

# Instead of reading 5 files individually
claudemem search "concept from those files" -n 15
# Gets ranked results with context

Broad Glob Patterns

If using patterns like src/**/*.ts:

# Instead of globbing and reading all matches
claudemem --agent map "what you're looking for"
# Gets structural overview with PageRank ranking

File Paths Mentioned in Task

Even when specific paths are mentioned, semantic search often finds additional relevant code:

claudemem search "concept related to mentioned files"

Interception Protocol

Step 1: Pause Before Execution

When you're about to execute bulk file operations, STOP and run:

claudemem status

Step 2: Evaluate

If claudemem is indexed:

Your Plan Better Alternative
Read 5 auth files claudemem search "authentication login session"
Glob all services claudemem search "service layer business logic"
Read mentioned paths claudemem search "[concept from those paths]"

If claudemem is NOT indexed:

claudemem index -y

Then proceed with semantic search.

Step 3: Execute Better Alternative

# Instead of reading N files, run ONE semantic query
claudemem search "concept describing what you need" -n 15

# ONLY THEN read specific lines from results

Interception Decision Matrix

Situation Intercept? Action
Read 1-2 specific files No Proceed with Read
Read 3+ files in investigation YES Convert to claudemem search
Glob for exact filename No Proceed with Glob
Glob for pattern discovery YES Convert to claudemem search
Grep for exact string No Proceed with Grep
Grep for semantic concept YES Convert to claudemem search
Files mentioned in prompt YES Search semantically first

Examples of Interception

Example 1: Auth Investigation

❌ Original plan:

I see the task mentions auth, let me read:
- src/services/auth/login.ts
- src/services/auth/session.ts
- src/services/auth/jwt.ts
- src/services/auth/middleware.ts
- src/services/auth/utils.ts

✅ After interception:

claudemem status  # Check if indexed
claudemem search "authentication login session JWT token validation" -n 15
# Now I have ranked, relevant chunks instead of 5 full files

Example 2: API Integration Audit

❌ Original plan:

Audit mentions Prime API files:
- src/services/prime/internal_api/client.ts
- src/services/prime/api.ts
Let me just Read these directly...

✅ After interception:

claudemem search "Prime API integration endpoints HTTP client" -n 20
# This finds ALL Prime-related code, ranked by relevance
# Not just the 2 files mentioned

Example 3: Pattern Discovery

❌ Original plan:

Glob("src/**/*.controller.ts")
Then read all 15 controllers to understand routing

✅ After interception:

claudemem search "HTTP controller endpoint route handler" -n 20
# Gets the most relevant routing code, not all controllers

Why Semantic Search Often Works Better

Native Tools Semantic Search
No ranking Ranked by relevance + PageRank
No relationships Shows code connections
~5000 tokens for 5 files ~500 tokens for ranked results
Only explicitly requested code Discovers related code

Tip: For investigation tasks, try claudemem search first to get a ranked view of relevant code.


Integration with Other Skills

This skill works with:

Skill Relationship
code-search-selector Selector determines WHAT tool; Interceptor validates BEFORE execution
claudemem-search Interceptor redirects to claudemem; this skill shows HOW to search
deep-analysis Interceptor prevents bad patterns; deep-analysis uses good patterns
Detective skills Interceptor prevents duplicate work by trusting detective agents

Hook System Integration

The hook system may provide claudemem results proactively when the index is available:

  • Grep queries → May receive claudemem search results instead
  • Bulk reads → May receive suggestion to use semantic search
  • Broad globs → May receive map results

Using the Bypass Flag

When you specifically need native tool behavior:

{ "pattern": "exact string", "_bypass_claudemem": true }

This tells hooks you intentionally want native tool output.


Quick Reference

Before bulk Read/Glob operations, consider:

  1. Is claudemem indexed? → claudemem status
  2. Can this be one semantic query? → Often yes
  3. Do you need exact matches? → Use native tools with bypass flag

General guideline: For understanding/investigation, try semantic search first. For exact matches, use native tools.


Maintained by: MadAppGang Plugin: code-analysis v2.16.0 Purpose: Help optimize bulk file operations with semantic search alternatives