Intercept, inspect, and modify HTTP/HTTPS traffic via a Rust MITM proxy with Lua scripting hooks. Supports API debugging, LLM call capture for evals, endpoint mocking, CORS/auth header injection, latency simulation, and telemetry blocking. Triggers on 'proxy', 'intercept traffic', 'inspect requests', 'mock API', 'capture API calls', 'MITM', 'network debug', 'HTTP inspection'.
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See how to installReview the instructions the agent will receive before you install.
Rust-based MITM proxy for intercepting and transforming HTTP/HTTPS traffic via Lua scripting. Provides TUI, terminal, and web GUI interfaces. Installed via brew install proxelar.
Infrastructure Operations
| Mode | Command | When to use |
|---|---|---|
| Forward proxy | proxelar | Intercept outbound traffic from any app configured to use 127.0.0.1:8080 |
| Reverse proxy | proxelar -m reverse --target http://localhost:3000 | Inspect traffic to a local dev server without configuring the client |
| Web GUI | proxelar -i gui | Agent-visible network inspector at http://localhost:8081 — screenshot for visual feedback |
| Scripted | proxelar --script path/to/hook.lua | Automated request/response transformation via Lua hooks |
Combine modes: proxelar -m reverse --target http://localhost:3000 -i gui --script scripts/log_to_jsonl.lua
| Flag | Description | Default |
|---|---|---|
-i, --interface | terminal, tui, gui | tui |
-m, --mode | forward, reverse | forward |
-p, --port | Listening port | 8080 |
-b, --addr | Bind address | 127.0.0.1 |
-t, --target | Upstream target (required for reverse mode) | -- |
--gui-port | Web GUI port | 8081 |
--ca-dir | CA certificate directory | ~/.proxelar |
-s, --script | Lua script for request/response hooks | -- |
Define on_request and/or on_response hooks:
function on_request(request)
-- request.method, request.url, request.headers, request.body
-- Return request to forward (modified or not)
-- Return response table to short-circuit: { status = 403, headers = {}, body = "Blocked" }
-- Return nil to pass through unchanged
end
function on_response(request, response)
-- response.status, response.headers, response.body
-- Return response (modified or not), or nil to pass through
end
Run any script with proxelar --script ~/.claude/skills/proxelar/scripts/<name>.lua
| Script | Purpose |
|---|---|
log_to_jsonl.lua | Log request/response pairs as JSONL to ~/.proxelar/traffic.jsonl |
capture_for_eval.lua | Capture LLM API calls (Anthropic/OpenAI/Gemini) as structured JSONL for eval pipelines |
mock_api.lua | Template for mocking API endpoints — edit the mocks table |
inject_cors.lua | Add permissive CORS headers to all responses |
latency_inject.lua | Add configurable artificial latency to matching URLs |
block_telemetry.lua | Block analytics and telemetry domains |
Route agent-browser traffic through Proxelar for combined page + network visibility:
# Terminal 1: start proxelar in reverse mode
proxelar -m reverse --target http://localhost:3000 -i gui --script ~/.claude/skills/proxelar/scripts/log_to_jsonl.lua &
# Terminal 2: navigate through proxelar, then snapshot
agent-browser --proxy "http://127.0.0.1:8080" open http://127.0.0.1:8080 && agent-browser snapshot
Start Proxelar with -i gui, then screenshot http://localhost:8081 via Claude-in-Chrome or agent-browser to give the agent network-layer visibility into what the application is doing.
Inject scripts/frametime_bench.js into a running page via mcp__claude-in-chrome__javascript_tool or agent-browser eval. Read console output with pattern p50 to get percentile data. Run alongside latency_inject.lua to correlate network latency with rendering jank.
First run auto-generates ~/.proxelar/proxelar-ca.pem. Trust it once:
sudo security add-trusted-cert -d -r trustRoot -k /Library/Keychains/System.keychain ~/.proxelar/proxelar-ca.pem
Or visit http://proxel.ar through the proxy for guided install.
lsof -i :8080--target — CLI errors immediately if omitted127.0.0.1:8081 by default; use --addr 0.0.0.0 for remote accessNo reviews yet. Tell others what you thought.
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Search academic papers, build literature reviews, and synthesize research findings — combines Exa search (publication category, domain and date filters) with arxiv-mcp-server for paper discovery, download, and deep analysis. Triggers on academic paper, literature review, research synthesis, arxiv, find papers, scholarly search.
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This skill should be used when creating, auditing, or maintaining AGENTS.md files and Codex CLI configuration for any project—including initializing AGENTS.md for cross-agent compatibility (Codex, Cursor, Copilot, Devin, Jules, Amp, Gemini CLI), generating config.toml or .rules files, scaffolding .agents/skills/, converting CLAUDE.md to AGENTS.md, or auditing existing agent configs for bloat and staleness. Complementary to codex-orchestrator (which executes subagents; this skill creates the config files they consume).
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Build comprehensive ARCHITECTURE.md files following matklad's canonical guidelines — bird's-eye views, ASCII/Mermaid diagrams, codemaps, invariants, and layer boundaries. Triggers on document the architecture, create ARCHITECTURE.md, map this codebase, architectural overview.
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