Detection Engineering Coverage Evaluation
google/skills
Automates the end-to-end detection engineering workflow in Google SecOps using MCP tools.
Minimizes test count while preserving coverage. An agent skill from nWave-ai/nWave.
$ npx skills add nWave-ai/nWave --skill nw-optimize-tests -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install nWave-ai/nWave nw-optimize-tests --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/nWave-ai/nWave.git skills-src && mkdir -p .claude/skills && cp -r skills-src/nWave/skills/nw-optimize-tests .claude/skills/nw-optimize-tests && 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 "nw-optimize-tests" agent skill from https://github.com/nWave-ai/nWave/tree/main/nWave/skills/nw-optimize-tests into .claude/skills/nw-optimize-tests/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nw-optimize-tests", 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/nWave-ai/nWave/tree/main/nWave/skills/nw-optimize-testsType 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 nWave-ai/nWave --skill nw-optimize-tests -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install nWave-ai/nWave nw-optimize-tests --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nWave-ai/nWave.git skills-src && mkdir -p .agents/skills && cp -r skills-src/nWave/skills/nw-optimize-tests .agents/skills/nw-optimize-tests && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "nw-optimize-tests" agent skill from https://github.com/nWave-ai/nWave/tree/main/nWave/skills/nw-optimize-tests into .agents/skills/nw-optimize-tests/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nw-optimize-tests", 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 nWave-ai/nWave --skill nw-optimize-tests -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install nWave-ai/nWave nw-optimize-tests --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nWave-ai/nWave.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/nWave/skills/nw-optimize-tests .cursor/skills/nw-optimize-tests && 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 "nw-optimize-tests" agent skill from https://github.com/nWave-ai/nWave/tree/main/nWave/skills/nw-optimize-tests into .cursor/skills/nw-optimize-tests/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nw-optimize-tests", 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/nWave-ai/nWave.git --path nWave/skills/nw-optimize-tests--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 nWave-ai/nWave --skill nw-optimize-tests -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install nWave-ai/nWave nw-optimize-tests --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nWave-ai/nWave.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/nWave/skills/nw-optimize-tests .gemini/skills/nw-optimize-tests && 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 "nw-optimize-tests" agent skill from https://github.com/nWave-ai/nWave/tree/main/nWave/skills/nw-optimize-tests into .gemini/skills/nw-optimize-tests/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nw-optimize-tests", 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 nWave-ai/nWave nw-optimize-testsInstalls 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 nWave-ai/nWave --skill nw-optimize-tests -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/nWave-ai/nWave.git skills-src && mkdir -p .github/skills && cp -r skills-src/nWave/skills/nw-optimize-tests .github/skills/nw-optimize-tests && 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 "nw-optimize-tests" agent skill from https://github.com/nWave-ai/nWave/tree/main/nWave/skills/nw-optimize-tests into .github/skills/nw-optimize-tests/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nw-optimize-tests", 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 nWave-ai/nWave --skill nw-optimize-tests -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install nWave-ai/nWave nw-optimize-tests --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nWave-ai/nWave.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/nWave/skills/nw-optimize-tests .opencode/skills/nw-optimize-tests && 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 "nw-optimize-tests" agent skill from https://github.com/nWave-ai/nWave/tree/main/nWave/skills/nw-optimize-tests into .opencode/skills/nw-optimize-tests/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nw-optimize-tests", 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.
nw-optimize-testsMinimizes test count while preserving coverage. An agent skill from nWave-ai/nWave.
Nw Optimize Tests is an agent skill from nWave-ai/nWave. Minimizes test count while preserving coverage. Detects byte-identical pairs, parametrize-inflation, language-guarantee tests, AST-shape tests, stale migration nets. Approval gate before any change.
Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
The repository describes itself as: AI agents that guide you from idea to working code, with you in control at every step. The licence is MIT.
4 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit da401a8. 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:
gitFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use git, which can reach the network depending on how they are called.
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.
Nw Optimize Tests loads about 1k tokens when it runs. Until then it costs about 54 tokens; SKILL.md has 384 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 nWave-ai/nWave at commit da401a8, republished under its MIT licence (© nWave-ai). 384 words, ~1,005 tokens.
.claude/skills/nw-optimize-tests/SKILL.md (or your agent's skills folder).Wave: CROSS_WAVE Agent: Trim (nw-test-optimizer) Reviewer: Trim Review (nw-test-optimizer-reviewer)
Dispatches Trim to inventory a test scope, detect duplication and anti-patterns, propose a consolidation plan, and apply it after explicit approval. Coverage is preserved; production code is never modified. Use after a feature lands, when a suite feels slow or noisy, on weekly audit, or whenever overtesting is suspected.
~/.claude/skills/nw-test-optimization/SKILL.md — methodology (loaded by agent)Trim compares against the wall-clock figures recorded in the execution-log.json.
@nw-test-optimizer
Execute test optimization for {scope}.
Configuration:
Trim presents the plan as a markdown table after Phase 3 (PLAN). The orchestrator (or invoking user) responds with one of:
No changes are applied without one of these responses. Trim never assumes approval.
If reviewer_chain: true:
@nw-test-optimizer-reviewer
Validate the optimization output for {scope}.
Reviewer hard-blocks on: production drift, coverage drop without justification, unmapped removal, missing approval gate evidence.
/nw-optimize-testsTrim inventories the unit suite, runs md5sum cross-check, scans for anti-patterns, produces a leverage-sorted plan covering byte-identical pairs and parametrize-inflated files.
/nw-optimize-tests lean-wave-documentationTrim resolves to tests/<feature-id>/ paths from the execution-log.json if available, otherwise scopes to test files referencing the feature-id.
/nw-optimize-tests tests/build/unit/test_skill_restructuring.pyTrim probes the single file (315 collected tests), checks migration-collapse lifecycle (skill 3.5), proposes collapse to ~3 tests.
/nw-optimize-tests tests/des/unit/ --reviewerTrim runs the workflow, then dispatches Trim Review for adversarial validation. Reviewer issues YAML verdict.
/nw-refactor, crafter scope)git log --oneline {base}..HEAD (atomic commits per pattern)
<scope> (test files modified or deleted)
report (returned inline by agent) (baseline, after, deltas, SHAs)© nWave-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 nWave/skills/nw-optimize-tests of nWave-ai/nWave.
Open the folder on GitHubat commit da401a8
Nw Optimize Tests 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 |
|---|---|---|---|---|---|---|
| Nw Optimize Tests this skillnWave-ai/nWave | 617 | — | ~1k | Automated safety check: Pass | MIT | |
| Detection Engineering Coverage Evaluationgoogle/skills | 21k | — | ~3.3k | Automated safety check: Pass | Apache-2.0 | |
| Coveragealirezarezvani/claude-skills | 28k | 2 repos | ~669 | Automated safety check: Pass | MIT | |
| SQL Optimizationgithub/awesome-copilot | 40k | 2 repos | ~2.3k | Automated safety check: Pass | MIT | |
| Caveman Optimization EvaluatorJuliusBrussee/caveman | 110k | 1 repos | ~1.2k | Automated safety check: Pass | Apache-2.0 | |
| Test Coveragethedaviddias/Front-End-Checklist | 74k | — | ~407 | Automated safety check: Pass | MIT |
google/skills
Automates the end-to-end detection engineering workflow in Google SecOps using MCP tools.
alirezarezvani/claude-skills
Analyze test coverage gaps. An agent skill from alirezarezvani/claude-skills.
github/awesome-copilot
Universal SQL performance optimization assistant for comprehensive query tuning, indexing strategies, and database performance analysis across all SQL databases (MySQL, PostgreSQL, SQL Server…
JuliusBrussee/caveman
Turns a Caveman report-only optimization observation into one minimal code change and a paired baseline evaluation, after the operator picks which to pursue.
thedaviddias/Front-End-Checklist
A skill your agent uses when reviewing CI coverage, automated checks, or test strategy related to Maintain test coverage thresholds.
affaan-m/ECC
Analyze draft prompts, detect intent and missing context, match ECC commands, skills, and agents, and output a ready-to-paste optimized prompt with diagnosis and rationale — advisory only, never…
nWave-ai/nWave
DELIVER wave orchestration workflow -- 9 phases from baseline to finalization.
nWave-ai/nWave
Generates C4 architecture diagrams (context, container, component) in Mermaid or PlantUML.
nWave-ai/nWave
Generates 3-5 divergent design directions through JTBD analysis, competitive research, structured brainstorming, and taste evaluation before convergence.
nWave-ai/nWave
Creates evidence-based documentation following DIVIO/Diataxis principles.
nWave-ai/nWave
A skill your agent uses when a DELIVER roadmap already exists and you need to dispatch exactly one identified step through its TDD cycle.
nWave-ai/nWave
Applies the Refactoring Priority Premise (RPP) levels L1-L6 for systematic code refactoring.
Minimizes test count while preserving coverage. An agent skill from nWave-ai/nWave. Nw Optimize Tests is an agent skill from nWave-ai/nWave. Minimizes test count while preserving coverage.
Run `npx skills add nWave-ai/nWave --skill nw-optimize-tests -a claude-code`. Or copy the skill folder (nWave/skills/nw-optimize-tests in nWave-ai/nWave) into .claude/skills/nw-optimize-tests in your project. Claude Code loads it when a task matches its description.
Run `npx skills add nWave-ai/nWave --skill nw-optimize-tests -a codex`. Or copy the skill folder (nWave/skills/nw-optimize-tests in nWave-ai/nWave) into .agents/skills/nw-optimize-tests 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 nWave-ai/nWave --skill nw-optimize-tests -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/nw-optimize-tests, .gemini/skills/nw-optimize-tests, .github/skills/nw-optimize-tests and .opencode/skills/nw-optimize-tests in your project.
Going by SKILL.md and its folder, Nw Optimize Tests needs the command-line tools its instructions call (git).
SKILL.md contains no URLs. Its commands use git, which can reach the network depending on how they are called. 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.
Nw Optimize Tests is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1k tokens (SKILL.md is roughly 4k 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 Nw Optimize Tests: Detection Engineering Coverage Evaluation (google/skills, 21k stars), Coverage (alirezarezvani/claude-skills, 28k stars), SQL Optimization (github/awesome-copilot, 40k stars) and Caveman Optimization Evaluator (JuliusBrussee/caveman, 110k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
nWave-ai (a GitHub organization) maintains it in nWave-ai/nWave, which has 617 GitHub stars. The repository holds 106 skills in this directory. The repository was last updated on September 16, 2026.
Source: nWave-ai/nWave on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.