web-quality-skills
addyosmani
Agent Skills for optimizing web quality based on Lighthouse and Core Web Vitals.
GITHUB TOPIC
18projects include this topic
The "testing" topic on GitHub groups 18 open-source projects in the DeepSeek Harness (DSH) ecosystem, led by web-quality-skills with 2.8k GitHub stars. web-quality-skills — Agent Skills for optimizing web quality based on Lighthouse and Core Web Vitals. Every project here is indexed by DSH Universe with live GitHub data — stars, activity and install status — so you can compare and install directly.
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Exact GitHub Topic match
addyosmani
Agent Skills for optimizing web quality based on Lighthouse and Core Web Vitals.
antonbabenko
Terraform & OpenTofu Skill for AI Agents - testing, modules, CI/CD, and production patterns
conorluddy
An IOS Simulator Skill for ClaudeCode. Use it to optimise Claude's ability to build, run and interact with your apps, and to proxy xcodebuild to save token and context wastage.
fishzjp
Make AI work like a senior test engineer: a test engineering Skill framework for AI Agents — 11 Skills + shared knowledge base + type decision matrix (usable with Claude Code / dsh and other Agents)
unknowbug
Code verification protocol for vibe coding — every claim must have a verifiable practice anchor.
hackerFish
DSH Lab: DeepSeek Harness hands-on picks and Chinese guide, every entry tested on real hardware through four gates (install → smoke → quick security check → compatibility pinning)
263311487-ux
The quality gate for agent-built web apps. Real-browser acceptance checks — CLI, MCP (Claude Code / Cursor / Copilot), GitHub Action. Agents self-test and pass; real browsers tell the truth.
BotonJ
A windtunnel Plugin for DeepSeek Harness
STARDUSTLC666
DSH test stability plugin: reruns tests to identify flaky cases, history and isolation list, zero runtime dependencies.
suimi8
DSH plugin: structured test runner tool (test_run) — auto-detect vitest/jest/pytest/node:test, run tests, parse failure summaries for the model.
ghost616
DeepSeek Harness multi-agent collaborative development plugin with seven built-in agents (Qibo, Lishou, Feng Hou, Kui, Li Mu, Gao Yao, Li Zhu), covering the full development loop of project initialization, code categorization, plan orchestration, batch execution, code review and test verification. Built on the @deepseek-ai/cordis plugin system, giving dsh "Feng Hou & Li Mu"-style multi-agent collaboration.
ShawnSiao
Planned repeatable agent and plugin regression evaluation for DeepSeek Harness
aryswisnu
Evidence-backed compatibility checks for DeepSeek Harness plugin stacks
duyanta123
gxinxing
No project description provided yet.
MkaliezZ
Deterministic regression tests for DSH policy decisions, evaluated without invoking the protected tool body.
MkaliezZ
Structured test-result normalization for DSH: pytest, Vitest, Jest, and Cargo summaries into a stable shape.
tkwkeven
Simulated-restart testing for DeepSeek Harness plugins: verifies plugins survive restart (module eval → apply → smoke → dispose) in isolated subprocesses, with a resident auto-watcher and agent feedback loop