Borrowing it
Nothing to install: this file belongs to Piebald-AI/splitrail. 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/Piebald-AI/splitrail/main/AGENTS.mdgit clone --depth 1 https://github.com/Piebald-AI/splitrailWrote 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/instructions/piebald-ai/splitrail/agents-md)<a href="https://agentmods.dev/instructions/piebald-ai/splitrail/agents-md"><img src="https://agentmods.dev/badge/instructions/piebald-ai/splitrail/agents-md/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/instructions/piebald-ai/splitrail/agents-md"><img src="https://agentmods.dev/badge/instructions/piebald-ai/splitrail/agents-md.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 | $0.00359 | $0.00359 |
| Opus 5.5 | $0.00144 | $0.00144 |
| Sonnet 5.5 | $0.00072 | $0.00072 |
| Haiku 4.5 | $0.00036 | $0.00036 |
Grade A, and why
splitrail AGENTS.md 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 1mo 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.
What it actually says
Project Overview
Splitrail is a high-performance, cross-platform usage tracker for AI coding assistants (Claude Code, Copilot, Cline, Pi Agent, etc.). It analyzes local data files from these tools, aggregates usage statistics, and provides real-time TUI monitoring with optional cloud upload capabilities.
Architecture
Analyzer System
Pluggable architecture with the Analyzer trait. Registry in src/analyzer.rs, individual analyzers in src/analyzers/. Each analyzer discovers data sources, parses conversations, and normalizes to a common format.
Data Flow
- Discovery: Analyzers find data files using platform-specific paths (
src/analyzers/) - Parsing: Parse JSON/JSONL into normalized messages (
src/types.rs) - Deduplication: Hash-based dedup using global hash field
- Aggregation: Group by date, compute token counts, costs, file ops (
src/utils.rs) - Display: TUI renders daily stats + real-time updates (
src/tui.rs,src/watcher.rs)
Code Style
- Follow Rust 2024 edition conventions
- Use
anyhow::Resultfor error handling - Prefer
async/awaitover raw futures - Use
parking_lotlocks overstd::syncfor performance
Post-Change Verification
Run after code changes:
cargo build --quiet
cargo test --quiet
cargo clippy --quiet -- -D warnings
cargo doc --quiet
cargo fmt --all --quiet
Additional Context
Skills provide task-specific guidance. Use the skill tool to load one when needed - available skills are listed in its description.
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.
- 1mo ago First seen · 40 lines · 359 tokens per session scan A 28d5e2fcc57b
splitrail AGENTS.md is an instructions file published in the GitHub repository Piebald-AI/splitrail (227 stars, last pushed today), licensed MIT. It adds 359 tokens to every session, about $0.0014 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.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
vscode model-prompts.instructions.md
Model-specific prompt authoring and registry guidelines.