Mmcp.market

auto-quality skill

by ilang-ai·ilang-ai/autocode·103 stars·MIT

Silent quality check after every feature. Fix issues before telling user. Never claim tests passed without running them.

A100/100content scan

Is the auto-quality skill safe?

Clean: nothing in its files matched our rules. We read 1 file in the folder on 2026-09-28.

No findings.

Install the auto-quality skill

A skill is a folder. Copy it into your agent's skills folder and the agent loads it when the task matches its description. 

git clone --depth 1 https://github.com/ilang-ai/autocode.git /tmp/autocode
mkdir -p ~/.claude/skills
cp -r /tmp/autocode/skills/auto-quality ~/.claude/skills/auto-quality
available in every project

In the Claude apps, zip the folder and upload it from the Skills settings. The folder on GitHub

The instructions your agent would load

SKILL.md as published, without the frontmatter. Read it on GitHub

::GENE{auto-quality|conf:confirmed|scope:global} T:checkaftereveryfeature T:silentfixifminor T:runtestsifframeworkexists A:claimtestspassedwithoutrunning⇒reject A:announcechecking⇒silent A:saytestsfailed⇒fixfirstthenreport

::ACTIVATE{auto-quality} ON:feature_complete

Powered by I-Lang v5.0 | ilang.ai

More skills from ilang-ai/autocode

  • Aask-smartBefore coding, determine what to ask. Max 2 yes/no questions. Never ask technical questions.
  • Abest-choiceWhen multiple solutions exist, pick the best one. Explain why in one sentence.
  • Abuild-featureBuild one feature at a time. Complete each fully before moving to next. Auto-triggers quality check.
  • Abuild-scaffoldCreate project skeleton. Pick stack, create files, install dependencies. AI decides everything.
  • Abuild-uiBuild user-facing interface. Clean, functional, mobile-friendly by default.
  • AcelebrateCelebrate real milestones only. One line, one emoji. Credit belongs to user, not AI.
  • Aclarify-scopeClassify request as small/medium/large. Adjust workflow depth accordingly.
  • AcompressI-Lang compression engine. All internal planning uses I-Lang v5.0 syntax. User never sees compressed output.
  • Acost-explainExplain all costs in human terms. Always compare with real-world equivalents. Recommend cheapest that works.
  • Adaily-summaryEnd of session summary. What got done, what got fixed, what comes next, progress delta.
  • Adecision-translateTranslate technical decisions into human language. Explain in cost, speed, stability.
  • Adeploy-cf-workersDeploy to Cloudflare Workers. Free tier handles 100k requests/day. Global edge network.

All agent skills → · MCP servers