Agent skill

Dough Test Optimization

by terryyin in terryyin/lizard

Speeds up local test feedback through profiling and measured experiments across related tests.

Custom licenceAuto-check passedTesting & QA

Install Dough Test Optimization

skills CLI
$ npx skills add terryyin/lizard --skill dough-test-optimization -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install terryyin/lizard dough-test-optimization --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ 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-src

Use ~/.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/

Facts

Skill name
dough-test-optimization
GitHub stars
2.5k
Token cost
~2.4k tokens
SKILL.md length
1,126 words
Files
3 (incl. references)
Skills in repo
19
Repo updated
First seen
Licence
Custom licence

At a glance

Speeds up local test feedback through profiling and measured experiments across related tests.

  • Works in 4 steps: Hypothesize: read optimization tactics → Try and measure: capture a comparable… → Decide: retain a supported improvement;… → …
  • Optimize slow tests
  • SKILL.md covers Establish context and mode, Establish the baseline, Investigate a useful test family and Record the optimization plan, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

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.

When your agent uses it

  • Optimize slow tests
  • Test-suite performance

Example prompts

  • “Use the dough-test-optimization skill to speed up local test feedback through profiling and measured experiments across related tests”
  • “/dough-test-optimization”

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Hypothesize: read optimization tactics
  2. Try and measure: capture a comparable focused baseline, make the smallest
  3. Decide: retain a supported improvement; revise or undo this experiment's
  4. Reassess: use the result to reconsider the family's bottleneck and strategy.

What it can do on your machine

Read from SKILL.md and the folder at commit d5228c1. 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

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.

Always · name and description, kept in context so the agent knows when to use it
~91
When it runs · the whole SKILL.md, loaded when a task matches
~2.4k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~3.8k

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

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…”

— opening of SKILL.md by terryyin, Custom licence
name
dough-test-optimization

Read the full SKILL.md on GitHub

Files

SKILL.md and 2 other files (references) in .agents/skills/dough-test-optimization of terryyin/lizard.

  • SKILL.md
  • references/optimization-tactics.md
  • references/resolving-candidates.md

Open the folder on GitHubat commit d5228c1

Compare with similar skills

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.

Dough Test Optimization compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Dough Test Optimization this skillterryyin/lizard2.5k—~2.4kAutomated safety check: PassCustom licence
Emcaklofas/kicad-happy1.4k1 repos~2.8kAutomated safety check: PassMIT
Swig Testswig/swig6.3k—~2.3kAutomated safety check: PassCustom licence
Generate Test Cases342164796/generate-test-cases1191 repos~2.9kAutomated safety check: PassNone
Verify Cc Safety Netkenryu42/cc-safety-net1.6k—~2kAutomated safety check: PassMIT
Wioworkersio/skills190—~5.8kAutomated safety check: PassMIT

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Categories

Questions about Dough Test Optimization

What does Dough Test Optimization do?

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.

When should I use Dough Test Optimization?

Dough Test Optimization fits situations like: optimize slow tests; test-suite performance.

How do I install Dough Test Optimization in Claude Code?

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.

How do I install Dough Test Optimization in Codex?

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.

Can I use Dough Test Optimization 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 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.

What does Dough Test Optimization need to run?

SKILL.md names no scripts, command-line tools or credentials: Dough Test Optimization is instructions for the agent only.

Does Dough Test Optimization 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 Dough Test Optimization 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 Dough Test Optimization use?

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.

How many tokens does Dough Test Optimization use?

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.

What are the alternatives to Dough Test Optimization?

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.

Who maintains Dough Test Optimization?

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.