Silent quality check after every feature. An agent skill from ilang-ai/autocode.
$ npx skills add ilang-ai/autocode --skill auto-quality -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ilang-ai/autocode auto-quality --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/ilang-ai/autocode.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/auto-quality .claude/skills/auto-quality && 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 "auto-quality" agent skill from https://github.com/ilang-ai/autocode/tree/main/skills/auto-quality into .claude/skills/auto-quality/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "auto-quality", 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/ilang-ai/autocode/tree/main/skills/auto-qualityType 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 ilang-ai/autocode --skill auto-quality -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ilang-ai/autocode auto-quality --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ilang-ai/autocode.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/auto-quality .agents/skills/auto-quality && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "auto-quality" agent skill from https://github.com/ilang-ai/autocode/tree/main/skills/auto-quality into .agents/skills/auto-quality/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "auto-quality", 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 ilang-ai/autocode --skill auto-quality -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ilang-ai/autocode auto-quality --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ilang-ai/autocode.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/auto-quality .cursor/skills/auto-quality && 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 "auto-quality" agent skill from https://github.com/ilang-ai/autocode/tree/main/skills/auto-quality into .cursor/skills/auto-quality/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "auto-quality", 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/ilang-ai/autocode.git --path skills/auto-quality--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 ilang-ai/autocode --skill auto-quality -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ilang-ai/autocode auto-quality --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ilang-ai/autocode.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/auto-quality .gemini/skills/auto-quality && 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 "auto-quality" agent skill from https://github.com/ilang-ai/autocode/tree/main/skills/auto-quality into .gemini/skills/auto-quality/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "auto-quality", 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 ilang-ai/autocode auto-qualityInstalls 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 ilang-ai/autocode --skill auto-quality -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ilang-ai/autocode.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/auto-quality .github/skills/auto-quality && 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 "auto-quality" agent skill from https://github.com/ilang-ai/autocode/tree/main/skills/auto-quality into .github/skills/auto-quality/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "auto-quality", 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 ilang-ai/autocode --skill auto-quality -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ilang-ai/autocode auto-quality --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ilang-ai/autocode.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/auto-quality .opencode/skills/auto-quality && 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 "auto-quality" agent skill from https://github.com/ilang-ai/autocode/tree/main/skills/auto-quality into .opencode/skills/auto-quality/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "auto-quality", 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.
auto-qualitySilent quality check after every feature. An agent skill from ilang-ai/autocode.
Auto Quality is an agent skill from ilang-ai/autocode. Silent quality check after every feature. Fix issues before telling user. Never claim tests passed without running them.
Its SKILL.md is about 130 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: You say it. AutoCode ships it. 48 skills. Code to deployment in one session. iLang v5.0 judgment + secret-safe deploys. Free forever. The licence is MIT.
Read from SKILL.md and the folder at commit 8629dc2. 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.
Auto Quality loads about 129 tokens when it runs. Until then it costs about 33 tokens; SKILL.md has 14 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 ilang-ai/autocode at commit 8629dc2, republished under its MIT licence (© ilang-ai). 14 words, ~129 tokens.
.claude/skills/auto-quality/SKILL.md (or your agent's skills folder).::GENE{auto-quality|conf:confirmed|scope:global} T:check_after_every_feature T:silent_fix_if_minor T:run_tests_if_framework_exists A:claim_tests_passed_without_running⇒reject A:announce_checking⇒silent A:say_tests_failed⇒fix_first_then_report
::ACTIVATE{auto-quality} ON:feature_complete
Powered by I-Lang v5.0 | ilang.ai
© ilang-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 skills/auto-quality of ilang-ai/autocode.
Open the folder on GitHubat commit 8629dc2
Auto Quality 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 |
|---|---|---|---|---|---|---|
| Auto Quality this skillilang-ai/autocode | 103 | — | ~129 | Automated safety check: Pass | MIT | |
| Mockito Stale Mock Silent Trycatch Failuredivinevideo/divine-mobile | 266 | — | ~1.4k | Automated safety check: Pass | MPL-2.0 | |
| Evm Token Decimalsaffaan-m/ECC | 276k | 2 repos | ~997 | Automated safety check: Pass | MIT | |
| Counterparty Channel Disciplineaffaan-m/ECC | 276k | — | ~2.3k | Automated safety check: Pass | MIT | |
| Hypothesis-Driven Debuggingcode-yeongyu/oh-my-openagent | 70k | — | ~3.2k | Automated safety check: Pass | Custom licence | |
| Mem0 Context Loadermem0ai/mem0 | 67k | — | ~292 | Automated safety check: Pass | Apache-2.0 |
divinevideo/divine-mobile
Fix misleading Flutter/Dart test failures where expected data is empty ([]) or default values instead of the mocked response, caused by stale Mockito generated mocks or missing stubs being silently…
affaan-m/ECC
Prevent silent decimal mismatch bugs across EVM chains. An agent skill from affaan-m/ECC.
affaan-m/ECC
Per-channel strict prompts, mention gating, silent observation, and a communication autonomy policy for agents that sit in shared channels with external counterparties.
code-yeongyu/oh-my-openagent
Runs a hypothesis-driven debugging loop for crashes, hangs and silent failures in any language, grounding every claim in runtime evidence and locking the fix with a test.
mem0ai/mem0
Searches Mem0 memories from earlier Pi sessions in the repository and prints a short block of the relevant ones before work starts, read-only and silent when empty.
asgeirtj/system_prompts_leaks
Any explicit Muse Code setting question or change (model, reasoning effort, /settings) requires a silent readskill call for bundled:manage-settings as FIRST ACTION—no assistant text or other tool…
ilang-ai/autocode
Decide when AutoCode acts on its own and when it must stop and ask the user.
ilang-ai/autocode
Auto-apply security basics and block deploys that would leak secrets.
ilang-ai/autocode
Build one feature at a time. An agent skill from ilang-ai/autocode.
ilang-ai/autocode
Help complete beginners set up their development environment.
ilang-ai/autocode
Before coding, determine what to ask. An agent skill from ilang-ai/autocode.
ilang-ai/autocode
Create project skeleton. An agent skill from ilang-ai/autocode.
Silent quality check after every feature. An agent skill from ilang-ai/autocode. Auto Quality is an agent skill from ilang-ai/autocode. Silent quality check after every feature.
Run `npx skills add ilang-ai/autocode --skill auto-quality -a claude-code`. Or copy the skill folder (skills/auto-quality in ilang-ai/autocode) into .claude/skills/auto-quality in your project. Claude Code loads it when a task matches its description.
Run `npx skills add ilang-ai/autocode --skill auto-quality -a codex`. Or copy the skill folder (skills/auto-quality in ilang-ai/autocode) into .agents/skills/auto-quality 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 ilang-ai/autocode --skill auto-quality -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/auto-quality, .gemini/skills/auto-quality, .github/skills/auto-quality and .opencode/skills/auto-quality in your project.
SKILL.md names no scripts, command-line tools or credentials: Auto Quality 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.
Auto Quality is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 129 tokens (SKILL.md is roughly 516 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 Auto Quality: Mockito Stale Mock Silent Trycatch Failure (divinevideo/divine-mobile, 266 stars), Evm Token Decimals (affaan-m/ECC, 276k stars), Counterparty Channel Discipline (affaan-m/ECC, 276k stars) and Hypothesis-Driven Debugging (code-yeongyu/oh-my-openagent, 70k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
ilang-ai (a GitHub organization) maintains it in ilang-ai/autocode, which has 103 GitHub stars. The repository holds 8 skills in this directory. The repository was last updated on September 22, 2026.
Source: ilang-ai/autocode on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.
