Emc
aklofas/kicad-happy
EMC pre-compliance risk analysis for KiCad PCB designs — 18 check categories, 44 rule IDs covering ground planes, decoupling, I/O filtering, switching harmonics, clock routing, differential pair…
Speeds up local test feedback through profiling and measured experiments across related tests.
$ npx skills add terryyin/lizard --skill dough-test-optimization -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install terryyin/lizard dough-test-optimization --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/terryyin/lizard.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/dough-test-optimization .claude/skills/dough-test-optimization && 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 "dough-test-optimization" agent skill from https://github.com/terryyin/lizard/tree/master/.agents/skills/dough-test-optimization into .claude/skills/dough-test-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dough-test-optimization", 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/terryyin/lizard/tree/master/.agents/skills/dough-test-optimizationType 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 terryyin/lizard --skill dough-test-optimization -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install terryyin/lizard dough-test-optimization --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/terryyin/lizard.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/dough-test-optimization .agents/skills/dough-test-optimization && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "dough-test-optimization" agent skill from https://github.com/terryyin/lizard/tree/master/.agents/skills/dough-test-optimization into .agents/skills/dough-test-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dough-test-optimization", 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 terryyin/lizard --skill dough-test-optimization -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install terryyin/lizard dough-test-optimization --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/terryyin/lizard.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/dough-test-optimization .cursor/skills/dough-test-optimization && 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 "dough-test-optimization" agent skill from https://github.com/terryyin/lizard/tree/master/.agents/skills/dough-test-optimization into .cursor/skills/dough-test-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dough-test-optimization", 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/terryyin/lizard.git --path .agents/skills/dough-test-optimization--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 terryyin/lizard --skill dough-test-optimization -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install terryyin/lizard dough-test-optimization --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/terryyin/lizard.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/dough-test-optimization .gemini/skills/dough-test-optimization && 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 "dough-test-optimization" agent skill from https://github.com/terryyin/lizard/tree/master/.agents/skills/dough-test-optimization into .gemini/skills/dough-test-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dough-test-optimization", 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 terryyin/lizard dough-test-optimizationInstalls 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 terryyin/lizard --skill dough-test-optimization -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/terryyin/lizard.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/dough-test-optimization .github/skills/dough-test-optimization && 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 "dough-test-optimization" agent skill from https://github.com/terryyin/lizard/tree/master/.agents/skills/dough-test-optimization into .github/skills/dough-test-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dough-test-optimization", 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 terryyin/lizard --skill dough-test-optimization -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install terryyin/lizard dough-test-optimization --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/terryyin/lizard.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/dough-test-optimization .opencode/skills/dough-test-optimization && 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 "dough-test-optimization" agent skill from https://github.com/terryyin/lizard/tree/master/.agents/skills/dough-test-optimization into .opencode/skills/dough-test-optimization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dough-test-optimization", 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.
dough-test-optimizationSpeeds up local test feedback through profiling and measured experiments across related tests.
Dough Test Optimization is an agent skill from terryyin/lizard. Speeds up local test feedback through profiling and measured experiments across related tests. Use to optimize slow tests or test-suite performance. Preserves behavioral coverage and confidence while pursuing fewer redundant cases, less code, and cleaner design. With --resolve, triages recorded candidates without profiling or optimizing.
Its SKILL.md is about 2.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `references/optimization-tactics.md` and `references/resolving-candidates.md`).
It sits in Testing & QA, covering Test generation. The repository describes itself as: A simple code complexity analyser without caring about the C/C++ header files or Java imports, supports most of the popular languages.
4 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit d5228c1. 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.
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.
Dough Test Optimization loads about 2.4k tokens when it runs, and up to ~3.8k if it reads all its reference files. Until then it costs about 91 tokens; SKILL.md has 1,126 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.
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 1,126 words (~2,365 tokens).
“Reduce the time a developer waits for trustworthy local test results. Pursue substantial savings through fewer redundant cases, less setup and support code, and cleaner design together. These are ways to improve feedback time, not substitutes for a measured speedup…”
SKILL.md and 2 other files (references) in .agents/skills/dough-test-optimization of terryyin/lizard.
Open the folder on GitHubat commit d5228c1
Dough Test Optimization 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 |
|---|---|---|---|---|---|---|
| Dough Test Optimization this skillterryyin/lizard | 2.5k | — | ~2.4k | Automated safety check: Pass | Custom licence | |
| Emcaklofas/kicad-happy | 1.4k | 1 repos | ~2.8k | Automated safety check: Pass | MIT | |
| Swig Testswig/swig | 6.3k | — | ~2.3k | Automated safety check: Pass | Custom licence | |
| Generate Test Cases342164796/generate-test-cases | 119 | 1 repos | ~2.9k | Automated safety check: Pass | None | |
| Verify Cc Safety Netkenryu42/cc-safety-net | 1.6k | — | ~2k | Automated safety check: Pass | MIT | |
| Wioworkersio/skills | 190 | — | ~5.8k | Automated safety check: Pass | MIT |
aklofas/kicad-happy
EMC pre-compliance risk analysis for KiCad PCB designs — 18 check categories, 44 rule IDs covering ground planes, decoupling, I/O filtering, switching harmonics, clock routing, differential pair…
swig/swig
Run SWIG test suite for specific languages. An agent skill from swig/swig.
342164796/generate-test-cases
自主学习型测试文档生成器。从需求文档(Markdown)生成测试用例 XMind 文件,支持持久化记忆和持续学习。当用户提到"生成测试用例"、"根据需求生成测试"时触发。
kenryu42/cc-safety-net
Launch and drive the real cc-safety-net CLI — the hook decision path, explain, status/doctor, logs, and the local policy GUI — against an isolated home, capturing evidence.
workersio/skills
Testing workflow skill for finding high-value test candidates, writing focused tests, generating realistic workloads, reviewing test value, and diagnosing test-suite health.
microsoft/WindowsProtocolTestSuites
ALWAYS LOAD THIS SKILL when working with FileServer, SMB, SMB2, SMB3, CIFS, file sharing, MS-SMB2, MS-FSCC, MS-FSA, MS-DFSC, MS-FSRVP, MS-RSVD, MS-SQOS, or any file server protocol test…
terryyin/lizard
Executes one selected story or bounded retrospective correction through an executable plan, or one authorized planless slice from a selected simple story or a contextual instruction, with…
terryyin/lizard
Maintains and reprioritizes a product backlog list of canonical story or bounded-correction references, and records necessary blocking story dependencies in canonical homes.
terryyin/lizard
Reviews planned, completed planless quick, or quick-to-planned execution against original intent, aggregate commits, current whole-product architecture, and tests, including after cleanup.
terryyin/lizard
Dough Land lands everything in one reviewed checkout on the authorized remote trunk: commits all of its changes, reconciles and publishes them without force, and refreshes a supplied default…
terryyin/lizard
Clarifies selected stories before execution planning by establishing goal, scope, and key examples in each story's seed, distinguishing promises from rejection constraints.
terryyin/lizard
Closes one completed feature story, bounded retrospective correction, or context-only planless execution using available execution context.
Categories
Speeds up local test feedback through profiling and measured experiments across related tests. Dough Test Optimization is an agent skill from terryyin/lizard. Speeds up local test feedback through profiling and measured experiments across related tests.
Dough Test Optimization fits situations like: optimize slow tests; test-suite performance.
Run `npx skills add terryyin/lizard --skill dough-test-optimization -a claude-code`. Or copy the skill folder (.agents/skills/dough-test-optimization in terryyin/lizard) into .claude/skills/dough-test-optimization in your project. Claude Code loads it when a task matches its description.
Run `npx skills add terryyin/lizard --skill dough-test-optimization -a codex`. Or copy the skill folder (.agents/skills/dough-test-optimization in terryyin/lizard) into .agents/skills/dough-test-optimization 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 terryyin/lizard --skill dough-test-optimization -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/dough-test-optimization, .gemini/skills/dough-test-optimization, .github/skills/dough-test-optimization and .opencode/skills/dough-test-optimization in your project.
SKILL.md names no scripts, command-line tools or credentials: Dough Test Optimization is instructions for the agent only.
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.
Dough Test Optimization has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
About 2.4k tokens (SKILL.md is roughly 9.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.5k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Dough Test Optimization: Emc (aklofas/kicad-happy, 1.4k stars), Swig Test (swig/swig, 6.3k stars), Generate Test Cases (342164796/generate-test-cases, 119 stars) and Verify Cc Safety Net (kenryu42/cc-safety-net, 1.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
terryyin (a GitHub user) maintains it in terryyin/lizard, which has 2,549 GitHub stars. The repository holds 19 skills in this directory. The repository was last updated on October 6, 2026.
Source: terryyin/lizard on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.