Marm Init
Lyellr88/marm-memory
Guided MARM MCP setup. An agent skill from Lyellr88/marm-memory.
Guide for working with Splitrail's MCP server. An agent skill from Piebald-AI/splitrail.
$ npx skills add Piebald-AI/splitrail --skill mcp -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Piebald-AI/splitrail mcp --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/Piebald-AI/splitrail.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/mcp .claude/skills/mcp && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "mcp" agent skill from https://github.com/Piebald-AI/splitrail/tree/main/.claude/skills/mcp into .claude/skills/mcp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mcp", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/Piebald-AI/splitrail/tree/main/.claude/skills/mcpType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add Piebald-AI/splitrail --skill mcp -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Piebald-AI/splitrail mcp --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Piebald-AI/splitrail.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/mcp .agents/skills/mcp && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "mcp" agent skill from https://github.com/Piebald-AI/splitrail/tree/main/.claude/skills/mcp into .agents/skills/mcp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mcp", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Piebald-AI/splitrail --skill mcp -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Piebald-AI/splitrail mcp --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Piebald-AI/splitrail.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/mcp .cursor/skills/mcp && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "mcp" agent skill from https://github.com/Piebald-AI/splitrail/tree/main/.claude/skills/mcp into .cursor/skills/mcp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mcp", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/Piebald-AI/splitrail.git --path .claude/skills/mcp--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add Piebald-AI/splitrail --skill mcp -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Piebald-AI/splitrail mcp --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Piebald-AI/splitrail.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/mcp .gemini/skills/mcp && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "mcp" agent skill from https://github.com/Piebald-AI/splitrail/tree/main/.claude/skills/mcp into .gemini/skills/mcp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mcp", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install Piebald-AI/splitrail mcpInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add Piebald-AI/splitrail --skill mcp -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Piebald-AI/splitrail.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/mcp .github/skills/mcp && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "mcp" agent skill from https://github.com/Piebald-AI/splitrail/tree/main/.claude/skills/mcp into .github/skills/mcp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mcp", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Piebald-AI/splitrail --skill mcp -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Piebald-AI/splitrail mcp --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Piebald-AI/splitrail.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/mcp .opencode/skills/mcp && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "mcp" agent skill from https://github.com/Piebald-AI/splitrail/tree/main/.claude/skills/mcp into .opencode/skills/mcp/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mcp", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
mcpGuide for working with Splitrail's MCP server. An agent skill from Piebald-AI/splitrail.
MCP is an agent skill from Piebald-AI/splitrail. Guide for working with Splitrail's MCP server. Use when adding tools, resources, or modifying the MCP interface.
Its SKILL.md is about 340 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Agent Workflows, covering MCP servers. It works with Model Context Protocol and Qwen. The repository describes itself as: Fast, cross-platform, real-time token usage tracker and cost monitor for Claude Code / Codex CLI / Antigravity CLI / Qwen Code / Cline / Zoo Code / Kilo Code / GitHub Copilot /… The licence is MIT.
2 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit f9a8f6d. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
cargoFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
MCP loads about 335 tokens when it runs. Until then it costs about 29 tokens; SKILL.md has 135 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from Piebald-AI/splitrail at commit f9a8f6d, republished under its MIT licence (© Piebald-AI). 135 words, ~335 tokens.
.claude/skills/mcp/SKILL.md (or your agent's skills folder).Splitrail can run as an MCP server, allowing AI assistants to query usage statistics programmatically.
cargo run -- mcpsrc/mcp/mod.rs - Module exportssrc/mcp/server.rs - Server implementation and tool handlerssrc/mcp/types.rs - Request/response typesget_daily_stats - Query usage statistics with date filteringget_model_usage - Analyze model usage distributionget_cost_breakdown - Get cost breakdown over a date rangeget_file_operations - Get file operation statisticscompare_tools - Compare usage across different AI coding toolslist_analyzers - List available analyzerssplitrail://summary - Daily summaries across all datessplitrail://models - Model usage breakdownsrc/mcp/server.rs using the #[tool] macrosrc/mcp/types.rs if neededSee existing tools in src/mcp/server.rs for the pattern.
resource_uris module in src/mcp/server.rslist_resources() methodread_resource() method© Piebald-AI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in .claude/skills/mcp of Piebald-AI/splitrail.
Open the folder on GitHubat commit f9a8f6d
MCP next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| MCP this skillPiebald-AI/splitrail | 223 | — | ~335 | Automated safety check: Pass | MIT | |
| Marm InitLyellr88/marm-memory | 419 | — | ~7.5k | Automated safety check: Notes | Apache-2.0 | |
| Extension CreatorQwenLM/qwen-code | 28k | — | ~5k | Automated safety check: Warn | Apache-2.0 | |
| Qwen Code E2E TestingQwenLM/qwen-code | 28k | — | ~2.1k | Automated safety check: Pass | Apache-2.0 | |
| Browser UseQwenLM/qwen-code-examples | 143 | — | ~451 | Automated safety check: Pass | None | |
| Computer UseQwenLM/qwen-code-examples | 143 | — | ~632 | Automated safety check: Pass | None |
Lyellr88/marm-memory
Guided MARM MCP setup. An agent skill from Lyellr88/marm-memory.
QwenLM/qwen-code
Create, scaffold, customize, validate, and locally test Qwen Code extensions.
QwenLM/qwen-code
Guides end-to-end testing of the Qwen Code CLI in headless mode with real model calls, MCP test servers and inspection of raw API traffic.
QwenLM/qwen-code-examples
Control browser pages using the Playwright MCP server. An agent skill from QwenLM/qwen-code-examples.
QwenLM/qwen-code-examples
Control the local desktop using the computer MCP tool from computer-use-mcp.
microsoft/ai-agents-for-beginners
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models.
Piebald-AI/splitrail
Guide for updating model pricing in Splitrail. An agent skill from Piebald-AI/splitrail.
Piebald-AI/splitrail
Guide for adding a new AI coding agent analyzer to Splitrail.
Piebald-AI/splitrail
Performance optimization guidelines for Splitrail. An agent skill from Piebald-AI/splitrail.
Piebald-AI/splitrail
Guide for Splitrail's terminal UI and file watching. An agent skill from Piebald-AI/splitrail.
Piebald-AI/splitrail
Reference for Splitrail's core data types. An agent skill from Piebald-AI/splitrail.
Works with
Categories
Guide for working with Splitrail's MCP server. An agent skill from Piebald-AI/splitrail. MCP is an agent skill from Piebald-AI/splitrail. Guide for working with Splitrail's MCP server.
MCP fits situations like: modifying the MCP interface; tasks that involve MCP servers.
Run `npx skills add Piebald-AI/splitrail --skill mcp -a claude-code`. Or copy the skill folder (.claude/skills/mcp in Piebald-AI/splitrail) into .claude/skills/mcp in your project. Claude Code loads it when a task matches its description.
Run `npx skills add Piebald-AI/splitrail --skill mcp -a codex`. Or copy the skill folder (.claude/skills/mcp in Piebald-AI/splitrail) into .agents/skills/mcp in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Piebald-AI/splitrail --skill mcp -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/mcp, .gemini/skills/mcp, .github/skills/mcp and .opencode/skills/mcp in your project.
Going by SKILL.md and its folder, MCP needs the command-line tools its instructions call (cargo).
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
MCP is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 335 tokens (SKILL.md is roughly 1.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with MCP: Marm Init (Lyellr88/marm-memory, 419 stars), Extension Creator (QwenLM/qwen-code, 28k stars), Qwen Code E2E Testing (QwenLM/qwen-code, 28k stars) and Browser Use (QwenLM/qwen-code-examples, 143 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Piebald-AI (a GitHub organization) maintains it in Piebald-AI/splitrail, which has 223 GitHub stars. The repository holds 6 skills in this directory. The repository was last updated on October 9, 2026.
Source: Piebald-AI/splitrail on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.