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.
curl -O https://raw.githubusercontent.com/Consiliency/Code-Index-MCP/main/.claude/agents/lane-executer.mdgit clone --depth 1 https://github.com/Consiliency/Code-Index-MCPWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/consiliency/code-index-mcp/lane-executer)<a href="https://agentmods.dev/agents/consiliency/code-index-mcp/lane-executer"><img src="https://agentmods.dev/badge/agents/consiliency/code-index-mcp/lane-executer/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/consiliency/code-index-mcp/lane-executer"><img src="https://agentmods.dev/badge/agents/consiliency/code-index-mcp/lane-executer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once 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 |
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.
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
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.
- 2mo ago First seen · 290 lines · 38 tokens per session scan A e7334cb3f078
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.
lane-executor compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| lane-executorConsiliency/Code-Index-MCP | Agent | 60 | yesterday | MIT | A | 38 | Claude Code |
| playwright-test-generatormicrosoft/playwright | Agent | 99k | yesterday | Apache-2.0 | A | 151 | Claude Code |
| .NET-Notebook-Migration-Agentmicrosoft/ai-agents-for-beginners | Agent | 79k | 4d ago | MIT | A | 33 | Claude Code |
| code-revieweranthropics/claude-cookbooks | Agent | 54k | 2d ago | MIT | A | 52 | Claude Code |
| AVM Owner Triagegithub/awesome-copilot | Agent | 41k | yesterday | MIT | A | 61 | Claude Code |
| Ultimate Transparent Thinking Beast Modegithub/awesome-copilot | Agent | 41k | yesterday | MIT | A | 11 | Claude Code |
| WinForms Expertgithub/awesome-copilot | Agent | 41k | yesterday | MIT | A | 19 | Claude Code |