Marm Init
Lyellr88/marm-memory
Guided MARM MCP setup. An agent skill from Lyellr88/marm-memory.
Guide for adding a new AI coding agent analyzer to Splitrail.
MITAuto-check passed
Install New Analyzer
$ npx skills add Piebald-AI/splitrail --skill new-analyzer -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Piebald-AI/splitrail new-analyzer --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/new-analyzer .claude/skills/new-analyzer && 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 "new-analyzer" agent skill from https://github.com/Piebald-AI/splitrail/tree/main/.claude/skills/new-analyzer into .claude/skills/new-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "new-analyzer", 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/new-analyzerType 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 new-analyzer -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Piebald-AI/splitrail new-analyzer --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/new-analyzer .agents/skills/new-analyzer && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "new-analyzer" agent skill from https://github.com/Piebald-AI/splitrail/tree/main/.claude/skills/new-analyzer into .agents/skills/new-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "new-analyzer", 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 new-analyzer -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Piebald-AI/splitrail new-analyzer --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/new-analyzer .cursor/skills/new-analyzer && 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 "new-analyzer" agent skill from https://github.com/Piebald-AI/splitrail/tree/main/.claude/skills/new-analyzer into .cursor/skills/new-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "new-analyzer", 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/new-analyzer--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 new-analyzer -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Piebald-AI/splitrail new-analyzer --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/new-analyzer .gemini/skills/new-analyzer && 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 "new-analyzer" agent skill from https://github.com/Piebald-AI/splitrail/tree/main/.claude/skills/new-analyzer into .gemini/skills/new-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "new-analyzer", 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 new-analyzerInstalls 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 new-analyzer -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/new-analyzer .github/skills/new-analyzer && 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 "new-analyzer" agent skill from https://github.com/Piebald-AI/splitrail/tree/main/.claude/skills/new-analyzer into .github/skills/new-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "new-analyzer", 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 new-analyzer -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 new-analyzer --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/new-analyzer .opencode/skills/new-analyzer && 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 "new-analyzer" agent skill from https://github.com/Piebald-AI/splitrail/tree/main/.claude/skills/new-analyzer into .opencode/skills/new-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "new-analyzer", 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.
Facts
- Skill name
new-analyzer- GitHub stars
- 223
- Token cost
- ~326 tokens
- SKILL.md length
- 116 words
- Files
- 1
- Skills in repo
- 6
- Repo updated
- First seen
- Licence
- MIT
At a glance
Guide for adding a new AI coding agent analyzer to Splitrail.
- Works in 7 steps: Add variant to Application enum in… → Create src/analyzers/{agent_name}.rs… → Export in src/analyzers/mod.rs → …
- Implementing support for a new tool like Copilot
- SKILL.md covers Checklist, VS Code Extensions and Reference Analyzers
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
New Analyzer is an agent skill from Piebald-AI/splitrail. Guide for adding a new AI coding agent analyzer to Splitrail. Use when implementing support for a new tool like Copilot, Cline, or similar.
Its SKILL.md is about 330 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It works with Visual Studio Code 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.
When your agent uses it
- Implementing support for a new tool like Copilot
Example prompts
- “/new-analyzer”
Workflow steps
7 steps, taken from the first numbered list in SKILL.md.
- Add variant to Application enum in src/types.rs
- Create src/analyzers/{agent_name}.rs implementing Analyzer trait from src/analyzer.rs
- Export in src/analyzers/mod.rs
- Register in src/main.rs
- Add tests in src/analyzers/tests/{agent_name}.rs, export in src/analyzers/tests/mod.rs
- Update README.md
- (Optional) Add model pricing to src/models.rs if agent doesn't provide cost data
What it can do on your machine
Read from SKILL.md and the folder at commit d9cbe50. It shows what the files ask for, not the result of running them.
Tool permissions
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.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
New Analyzer loads about 326 tokens when it runs. Until then it costs about 38 tokens; SKILL.md has 116 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.
Safety
Auto-check passed
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.
SKILL.md
The full file from Piebald-AI/splitrail at commit d9cbe50, republished under its MIT licence (© Piebald-AI). 116 words, ~326 tokens.
Download SKILL.mdSave it as
.claude/skills/new-analyzer/SKILL.md (or your agent's skills folder).- name
- new-analyzer
- description
- Guide for adding a new AI coding agent analyzer to Splitrail. Use when implementing support for a new tool like Copilot, Cline, or similar.
Adding a New Analyzer
Splitrail tracks token usage from AI coding agents. Each agent has its own "analyzer" that discovers and parses its data files.
Checklist
- Add variant to
Applicationenum insrc/types.rs - Create
src/analyzers/{agent_name}.rsimplementingAnalyzertrait fromsrc/analyzer.rs - Export in
src/analyzers/mod.rs - Register in
src/main.rs - Add tests in
src/analyzers/tests/{agent_name}.rs, export insrc/analyzers/tests/mod.rs - Update README.md
- (Optional) Add model pricing to
src/models.rsif agent doesn't provide cost data
Test fixtures go in src/analyzers/tests/source_data/. See src/types.rs for message and stats types.
VS Code Extensions
Use discover_vscode_extension_sources() and get_vscode_extension_tasks_dirs() helpers from src/analyzer.rs.
Reference Analyzers
- Simple JSONL CLI:
src/analyzers/pi_agent.rs,src/analyzers/piebald.rs - VS Code extension:
src/analyzers/cline.rs,src/analyzers/roo_code.rs - Complex with dedup:
src/analyzers/claude_code.rs - External data dirs:
src/analyzers/opencode.rs
© 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
Files
Just SKILL.md in .claude/skills/new-analyzer of Piebald-AI/splitrail.
Open the folder on GitHubat commit d9cbe50
Compare with similar skills
New Analyzer 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 |
|---|---|---|---|---|---|---|
| New Analyzer this skillPiebald-AI/splitrail | 223 | — | ~326 | Automated safety check: Pass | MIT | |
| Marm InitLyellr88/marm-memory | 418 | — | ~7.5k | Automated safety check: Notes | Apache-2.0 | |
| Agent Browser CLIvercel-labs/agent-browser | 44k | 24 repos | ~864 | Automated safety check: Pass | Apache-2.0 | |
| Electron App Automationvercel-labs/agent-browser | 44k | 5 repos | ~1.7k | Automated safety check: Pass | Apache-2.0 | |
| AI Image Generation and Editingzhayujie/CowAgent | 47k | — | ~1.3k | Automated safety check: Pass | MIT | |
| Microsoft Skill CreatorMicrosoftDocs/mcp | 1.9k | 3 repos | ~2.1k | Automated safety check: Pass | CC-BY-4.0 |
Similar skills
- Official
Agent Browser CLI
vercel-labs/agent-browser
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking…
- Official
Electron App Automation
vercel-labs/agent-browser
Automates Electron desktop apps such as VS Code, Slack or Discord by connecting agent-browser to their Chrome DevTools Protocol port.
AI Image Generation and Editing
zhayujie/CowAgent
Generates or edits images from text prompts through a Python script that picks an image backend based on which API keys are configured.
- Official
Microsoft Skill Creator
MicrosoftDocs/mcp
Create agent skills for Microsoft technologies using official documentation.
Agent Feature Reproduction
QwenLM/qwen-code
Reproduces a feature from Codex or Claude Code in Qwen Code by running the reference agent under capture, reading the traces, then implementing matching behavior.
More from Piebald-AI/splitrail
MCP
Piebald-AI/splitrail
Guide for working with Splitrail's MCP server. An agent skill from Piebald-AI/splitrail.
Pricing
Piebald-AI/splitrail
Guide for updating model pricing in Splitrail. An agent skill from Piebald-AI/splitrail.
Performance
Piebald-AI/splitrail
Performance optimization guidelines for Splitrail. An agent skill from Piebald-AI/splitrail.
Tui
Piebald-AI/splitrail
Guide for Splitrail's terminal UI and file watching. An agent skill from Piebald-AI/splitrail.
Types
Piebald-AI/splitrail
Reference for Splitrail's core data types. An agent skill from Piebald-AI/splitrail.
Related
Works with
Questions about New Analyzer
What does New Analyzer do?
Guide for adding a new AI coding agent analyzer to Splitrail. New Analyzer is an agent skill from Piebald-AI/splitrail. Guide for adding a new AI coding agent analyzer to Splitrail.
When should I use New Analyzer?
New Analyzer fits situations like: implementing support for a new tool like Copilot.
How do I install New Analyzer in Claude Code?
Run `npx skills add Piebald-AI/splitrail --skill new-analyzer -a claude-code`. Or copy the skill folder (.claude/skills/new-analyzer in Piebald-AI/splitrail) into .claude/skills/new-analyzer in your project. Claude Code loads it when a task matches its description.
How do I install New Analyzer in Codex?
Run `npx skills add Piebald-AI/splitrail --skill new-analyzer -a codex`. Or copy the skill folder (.claude/skills/new-analyzer in Piebald-AI/splitrail) into .agents/skills/new-analyzer in your project. Codex loads it when a task matches its description.
Can I use New Analyzer in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Piebald-AI/splitrail --skill new-analyzer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/new-analyzer, .gemini/skills/new-analyzer, .github/skills/new-analyzer and .opencode/skills/new-analyzer in your project.
What does New Analyzer need to run?
SKILL.md names no scripts, command-line tools or credentials: New Analyzer is instructions for the agent only.
Does New Analyzer access the network?
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.
Is New Analyzer safe to install?
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.
What licence does New Analyzer use?
New Analyzer is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does New Analyzer use?
About 326 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.
What are the alternatives to New Analyzer?
Skills that share tags, products or a category with New Analyzer: Marm Init (Lyellr88/marm-memory, 418 stars), Agent Browser CLI (vercel-labs/agent-browser, 44k stars), Electron App Automation (vercel-labs/agent-browser, 44k stars) and AI Image Generation and Editing (zhayujie/CowAgent, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains New Analyzer?
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 7, 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.