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.
Guide for updating model pricing in Splitrail. An agent skill from Piebald-AI/splitrail.
$ npx skills add Piebald-AI/splitrail --skill pricing -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Piebald-AI/splitrail pricing --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/pricing .claude/skills/pricing && 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 "pricing" agent skill from https://github.com/Piebald-AI/splitrail/tree/main/.claude/skills/pricing into .claude/skills/pricing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pricing", 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/pricingType 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 pricing -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Piebald-AI/splitrail pricing --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/pricing .agents/skills/pricing && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "pricing" agent skill from https://github.com/Piebald-AI/splitrail/tree/main/.claude/skills/pricing into .agents/skills/pricing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pricing", 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 pricing -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Piebald-AI/splitrail pricing --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/pricing .cursor/skills/pricing && 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 "pricing" agent skill from https://github.com/Piebald-AI/splitrail/tree/main/.claude/skills/pricing into .cursor/skills/pricing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pricing", 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/pricing--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 pricing -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Piebald-AI/splitrail pricing --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/pricing .gemini/skills/pricing && 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 "pricing" agent skill from https://github.com/Piebald-AI/splitrail/tree/main/.claude/skills/pricing into .gemini/skills/pricing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pricing", 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 pricingInstalls 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 pricing -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/pricing .github/skills/pricing && 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 "pricing" agent skill from https://github.com/Piebald-AI/splitrail/tree/main/.claude/skills/pricing into .github/skills/pricing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pricing", 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 pricing -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 pricing --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/pricing .opencode/skills/pricing && 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 "pricing" agent skill from https://github.com/Piebald-AI/splitrail/tree/main/.claude/skills/pricing into .opencode/skills/pricing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pricing", 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.
pricingGuide for updating model pricing in Splitrail. An agent skill from Piebald-AI/splitrail.
Pricing is an agent skill from Piebald-AI/splitrail. Guide for updating model pricing in Splitrail. Use when adding new AI model costs or updating existing pricing data.
Its SKILL.md is about 780 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 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.
3 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit d9cbe50. 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.
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.
Links to these hosts (documentation or services it may open):
anthropic.comopenai.comai.google.devFrom 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.
Pricing loads about 783 tokens when it runs. Until then it costs about 31 tokens; SKILL.md has 356 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 d9cbe50, republished under its MIT licence (© Piebald-AI). 356 words, ~783 tokens.
.claude/skills/pricing/SKILL.md (or your agent's skills folder).Token pricing is defined in src/models.rs. Built-in models are populated by populate_defaults() into the runtime model registry, and user/config models can be merged with init_external_models().
ModelInfo entry in populate_defaults() with:pricing: Use PricingStructure::Flat { input_per_1m, output_per_1m } for flat-rate models, or PricingStructure::Tiered for threshold-based pricing.caching: Use the appropriate CachingSupport variant (None, OpenAI, Anthropic, OpenAIWithWrites, or Tiered).service_tiers: Leave empty unless the provider has distinct priority/flex/batch rates.dated_pricing: Leave empty unless pricing changes by usage date.is_estimated: Set to true only when pricing is not confirmed by a provider/tool source.input_token_semantics: Auto-derived for built-in models (defaults to ExcludesCache); only GPT/o-series models typically need IncludesCacheRead. External model configs should set this explicitly if it affects cache-read counting.src/models.rs for canonical pricing, aliases, caching, and estimated/non-estimated status.Use dated_pricing when a model has temporary promotional pricing, launch pricing, or another time-bounded rate that should apply based on the original usage timestamp.
The default pricing and caching fields should represent the durable/current sticker price. Each DatedPricing override has a valid_until: NaiveDate exclusive end date and applies when usage_date < valid_until. For example, an introductory rate that applies through 2026-08-31 should use valid_until = NaiveDate::from_ymd_opt(2026, 9, 1).expect("valid date").
When adding a dated override:
pricing/caching at the post-promo or durable rate.add_dated_pricing!() after add_model!().Use models::calculate_total_cost_for_service_tier_at() when an analyzer has a message or event timestamp. This preserves historical costs across dated pricing windows.
Use the undated compatibility helpers, such as models::calculate_total_cost(), only for tests, config-like calculations, or call sites that truly do not know the usage date. Undated helpers use the model's default pricing/caching, not temporary dated overrides.
© 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/pricing of Piebald-AI/splitrail.
Open the folder on GitHubat commit d9cbe50
Pricing 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 |
|---|---|---|---|---|---|---|
| Pricing this skillPiebald-AI/splitrail | 223 | — | ~783 | Automated safety check: Pass | MIT | |
| AI Image Generation and Editingzhayujie/CowAgent | 47k | — | ~1.3k | Automated safety check: Pass | MIT | |
| Agent Feature ReproductionQwenLM/qwen-code | 28k | — | ~1.5k | Automated safety check: Pass | Apache-2.0 | |
| Qwen Code E2E TestingQwenLM/qwen-code | 28k | — | ~2.1k | Automated safety check: Pass | Apache-2.0 | |
| Game Asset Generatorhtdt/godogen | 7.1k | — | ~2.8k | Automated safety check: Pass | MIT | |
| Fix Art IssuesOpenPipe/ART | 11k | — | ~840 | Automated safety check: Notes | Apache-2.0 |
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.
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.
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.
htdt/godogen
Generates game art from text prompts: PNG images, GLB 3D models, rigged characters, animations and sprites, with background removal.
OpenPipe/ART
Fix a GitHub issue on OpenPipe/ART and open a PR. An agent skill from OpenPipe/ART.
AMAP-ML/LongHorizon-Harness
Reproduce CUA-Harness experiments on WeaveBench from a GitHub checkout.
Piebald-AI/splitrail
Guide for working with Splitrail's MCP server. 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
Guide for updating model pricing in Splitrail. An agent skill from Piebald-AI/splitrail. Pricing is an agent skill from Piebald-AI/splitrail. Guide for updating model pricing in Splitrail.
Pricing fits situations like: adding new AI model costs; updating existing pricing data.
Run `npx skills add Piebald-AI/splitrail --skill pricing -a claude-code`. Or copy the skill folder (.claude/skills/pricing in Piebald-AI/splitrail) into .claude/skills/pricing in your project. Claude Code loads it when a task matches its description.
Run `npx skills add Piebald-AI/splitrail --skill pricing -a codex`. Or copy the skill folder (.claude/skills/pricing in Piebald-AI/splitrail) into .agents/skills/pricing 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 pricing -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/pricing, .gemini/skills/pricing, .github/skills/pricing and .opencode/skills/pricing in your project.
SKILL.md names no scripts, command-line tools or credentials: Pricing is instructions for the agent only.
SKILL.md names 3 domains. As links in the text: anthropic.com, openai.com and ai.google.dev. 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.
Pricing is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 783 tokens (SKILL.md is roughly 3.1k 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 Pricing: AI Image Generation and Editing (zhayujie/CowAgent, 47k stars), Agent Feature Reproduction (QwenLM/qwen-code, 28k stars), Qwen Code E2E Testing (QwenLM/qwen-code, 28k stars) and Game Asset Generator (htdt/godogen, 7.1k 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 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.