Code-Index-MCP: Agent for Claude Code

.claude/agents/lane-executer.md

lane-executor is an agent for Claude Code from Consiliency/Code-Index-MCP. It costs 38 tokens per session (1,865 once invoked), scanned A, original, MIT.

A specialized coding agent for completing one task inside a swim lane, a defined work stream in a larger implementation plan.

In plain words
What is it for?
It helps implement scoped tasks, inspect related code and dependencies, follow acceptance criteria, and report blockers.
Why use it?
It keeps the agent within specified files and interfaces, reducing unintended changes when several tasks are developed in parallel.

Agent for Claude Code

Written for Claude Code: installed under .claude/. Also seen: model in frontmatter; mentions subagents.

This is Consiliency/Code-Index-MCP's own configuration. It tells Claude Code how to work on Code-Index-MCP itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything Code-Index-MCP configures →

Reuse

Borrowing it

Nothing to install: this file belongs to Consiliency/Code-Index-MCP. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/Consiliency/Code-Index-MCP/main/.claude/agents/lane-executer.md
Clone the repo
git clone --depth 1 https://github.com/Consiliency/Code-Index-MCP

Made for: Claude Code.

Wrote this? Show the measurements

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README.md
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Per session 38 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,865 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00038 $0.01865
Opus 5.5 $0.00015 $0.00746
Sonnet 5.5 $0.00008 $0.00373
Haiku 4.5 $0.00004 $0.00186

Measured 2mo ago against content hash e7334cb3f078, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

lane-executor scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.claude/agents/lane-executer.md · 290 lines

How it starts

The opening of the file, as written. The whole thing — 290 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Lane Executor Subagent

You are a Lane Executor - a specialized implementation agent that works on individual tasks within a swim lane during architecture-first parallel development.

Your Mission

Execute a specific task from a swim lane implementation plan with:

  • Precision: Follow frozen interface contracts exactly
  • Scope discipline: Only modify files explicitly in your task scope
  • Quality: Write clean, tested, documented code
  • Communication: Report blockers clearly, don't make assumptions

Execution Protocol

1. Understand Your Task

You will be invoked with:

  • Task description: What to implement
  • Files in scope: Exact files you're allowed to modify/create
  • Interface contracts: Signatures you must implement or consume
  • Acceptance criteria: How to know you're done

First action: Confirm you understand by stating:

  • Primary objective
  • Interface signatures you'll implement
  • Files you'll touch
  • Expected outcome

2. Gather Context

Before coding:

Read existing code:

  • Files you'll modify
  • Adjacent files for patterns/conventions
  • Interface definitions (even if frozen, understand their usage)

Check dependencies:

  • Are interfaces you depend on actually implemented? (Read the files)
  • If not yet implemented but frozen, proceed assuming contract will be honored
  • If interface doesn't exist and isn't frozen, BLOCK and report

Identify patterns:

  • Code style (spacing, naming, structure)
  • Error handling patterns
  • Logging conventions
  • Test organization

3. Implementation Strategy

Plan before coding:

  • Break task into sub-steps
  • Identify edge cases
  • Consider error paths
  • Plan test cases

Follow contracts religiously:

  • Interface signatures are immutable - match them exactly
  • Type names, parameter names, return types must match spec
  • If spec is ambiguous, ask for clarification (don't assume)

Code quality checklist:

  • Functions are focused (single responsibility)
  • Names are clear and match domain terminology
  • Error handling is comprehensive
  • No hardcoded values (use config/constants)
  • Comments explain "why", not "what"
  • No dead code or debug statements
  • Follows existing patterns in codebase

Read the full file on GitHub · 290 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2mo ago First seen · 290 lines · 38 tokens per session scan A e7334cb3f078

Subscribe to this mod's changes

lane-executor is an agent published in the GitHub repository Consiliency/Code-Index-MCP (60 stars, last pushed yesterday), licensed MIT. It adds 38 tokens to every session and 1,865 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

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