AI code quality checks. An agent skill from hashgraph-online/awesome-codex-plugins.

Apache-2.0Auto-check: notesDevelopment

Install Quality

skills CLI
$ npx skills add hashgraph-online/awesome-codex-plugins --skill quality -a claude-code

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

GitHub CLI
$ gh skill install hashgraph-online/awesome-codex-plugins quality --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/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/ariaxhan/kernel-claude/skills/quality .claude/skills/quality && 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
quality
GitHub stars
1.2k
Token cost
~997 tokens
SKILL.md length
469 words
Files
2
Skills in repo
736
Repo updated
First seen
Licence
Apache-2.0

At a glance

AI code quality checks. An agent skill from hashgraph-online/awesome-codex-plugins.

  • Tasks that involve Code quality
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Quality is an agent skill from hashgraph-online/awesome-codex-plugins. AI code quality checks. The Big 5: input validation, edge cases, error handling, duplication, complexity. Triggers: quality, big 5, ai code, review, validate.

Its SKILL.md is about 1000 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `reference/quality-research.md`).

It sits in Development, covering Code quality. The repository describes itself as: A curated list of awesome OpenAI Codex / ChatGPT plugins, skills, and resources. The 1 Codex Marketplace. See live plugins at: https://hol.org/plugins/best-codex-plugins. The licence is Apache-2.0.

When your agent uses it

  • Tasks that involve Code quality

Example prompts

  • “/quality”

Requirements

  • Pre-approved tools (allowed-tools): Read, Grep, Bash

What it can do on your machine

Read from SKILL.md and the folder at commit 16b4156. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Grep
    • Bash

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).

    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

Quality loads about 997 tokens when it runs. Until then it costs about 42 tokens; SKILL.md has 469 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~42
When it runs · the whole SKILL.md, loaded when a task matches
~997

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: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Read, Grep, Bash

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

The full file from hashgraph-online/awesome-codex-plugins at commit 16b4156, republished under its Apache-2.0 licence (© hashgraph-online). 469 words, ~997 tokens.

Download SKILL.mdSave it as .claude/skills/quality/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
quality
description
AI code quality checks. The Big 5: input validation, edge cases, error handling, duplication, complexity. Triggers: quality, big 5, ai code, review, validate.
allowed-tools
Read, Grep, Bash
kernel.kind
methodology
kernel.version
1
kernel.side_effects
none
kernel.confirmation
none
<skill id="quality">
<purpose>
AI code is 1.7x buggier. These 5 checks catch 80% of issues.
Load this skill for any review, validation, or implementation work.
</purpose>
<reference>
Verbose research: skills/quality/reference/quality-research.md
</reference>
<big5>
<check id="1" name="input_validation" detection="grep -r 'req\.body' | grep -v 'parse\|validate\|z\.'">
Every endpoint has Zod/Pydantic schema. Parameterized queries only.
</check>
<check id="2" name="edge_cases" detection="search for array access without length check">
Handle: null, empty array, zero-length string, timeout, unicode.
</check>
<check id="3" name="error_handling" detection="grep -r 'catch.*{}'">
No empty catch. Errors logged with context. User messages generic.
Silent swallowing is the worst variant: a catch/onError that returns a masked or
generic body without first logging method/path/cause hides the root failure behind
a 500 and costs a full re-diagnosis per incident. Every handler logs the cause
before it masks. Missing config/dependency is a NAMED condition in the response
(which var, which service), never a generic error.
</check>
<check id="4" name="duplication" detection="jscpd or manual review">
Same logic in 3+ places = extract to utility.
</check>
<check id="5" name="complexity" detection="eslint complexity rule">
Functions under 30 lines. No nested ternaries > 2 levels.
</check>
<check id="6" name="gate_integrity" detection="seed a known violation and confirm the gate goes red">
A gate nobody has seen fail is not a gate. Before trusting any check you ship or run:
- Prove it red. Seed the exact violation it claims to catch, watch it fail, then unseed.
  A gate that has only ever printed PASS is measuring nothing.
- The checker re-derives its evidence. A hash, a "PASS" string, a file that merely exists,
  or a count supplied by the thing being checked is an assertion, not evidence. Read the
  bytes, run the command, fetch the remote.
- Exit 0 with empty or blank output is a failure, not a pass. Never pipe a gate to
  `tail`/`head`; the pipe reports the pager's exit code.
- A gate that stays green after you delete the code it guards is blind. Delete-and-rerun
  is the cheapest mutation test there is.
- Randomness in a gate makes it a coin flip. Pin the seed or pin the input.
- Absence of a run is red, not pending.
</check>
</big5>
Show full SKILL.md (123 more words)Show less

<quick_checks>

bash
# 1. Missing validation
grep -r "req\.body" --include="*.ts" --include="*.js" | grep -v "parse\|validate\|z\." | head -5

# 2. Empty catch blocks
grep -r "catch.*{}" --include="*.ts" --include="*.js" | head -5

# 3. String concat in queries (SQL injection)
grep -rE "SELECT.*\$\{|INSERT.*\$\{" --include="*.ts" --include="*.js" | head -5

</quick_checks>

<data_correctness> For any pipeline that extracts or transforms figures (financial, metrics, counts):

  • Parse deterministically (a real parser, regex, typed loader). The LLM never generates, transforms, or "fixes" numeric values.
  • Units are explicit at parse time (percent vs fraction, counts vs currency); a value never crosses unit categories through arithmetic.
  • Tie-out gate: derived aggregates must reproduce the source's own totals before any output is shown downstream. A delta between your output and the source is assumed to be YOUR normalization bug until proven otherwise.
  • Silent-empty guard: "no findings" produced from an empty parse is a failure of the parse, not a finding. </data_correctness>
<verdict>
Any Big 5 violation = NOT READY
Fix before commit. No exceptions.
</verdict>

<on_complete> agentdb write-end '{"skill":"quality","big5_checked":true,"violations":N}' </on_complete>

</skill>

© hashgraph-online, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in plugins/ariaxhan/kernel-claude/skills/quality of hashgraph-online/awesome-codex-plugins.

  • SKILL.md
  • reference/quality-research.md

Open the folder on GitHubat commit 16b4156

Compare with similar skills

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.

Quality compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Quality this skillhashgraph-online/awesome-codex-plugins1.2k—~997Automated safety check: NotesApache-2.0
WooCommerce Code Reviewwoocommerce/woocommerce11k3 repos~1.1kAutomated safety check: PassCustom licence
Systematic Code Refactoringluongnv89/claude-howto42k—~3kAutomated safety check: PassMIT
Install Anti-Slop Oxlint Rulesdmmulroy/anti-slop5.2k—~2.2kAutomated safety check: PassMIT
Constraint-Driven Developmentaddyosmani/agent-skills102k2 repos~5.2kAutomated safety check: PassMIT
Skill Doli Code ReviewDolibarr/dolibarr7.7k1 repos~1.1kAutomated safety check: PassMIT

Similar skills

  • WooCommerce Code Review

    woocommerce/woocommerce

    Reviews WooCommerce code changes against the project's standards, flagging backend PHP architecture, naming, documentation, data integrity and testing violations.

    11k GitHub starsUsed in 3 repos~1.1k tokens
    DevelopmentAuto-check passed
  • Systematic Code Refactoring

    luongnv89/claude-howto

    Guides refactoring in phases based on Martin Fowler's method: research, test coverage check, planning and small tested steps, with your approval at each phase.

    42k GitHub stars~3k tokensUpdated 7 days ago
    DevelopmentAuto-check passed
  • Installs, updates or migrates the vendored anti-slop Oxlint plugin in a repository, keeping local rule changes and the plugin's license and provenance files.

    5.2k GitHub stars~2.2k tokensUpdated 27 days ago
    DevelopmentAuto-check passed
  • Constraint-Driven Development

    addyosmani/agent-skills

    Records a project's quality bar in CONSTRAINTS.md and watches diffs for signs an agent quietly weakened it, such as suppressions, skipped tests or lowered thresholds.

    102k GitHub starsUsed in 2 repos~5.2k tokens
    DevelopmentAuto-check passed
  • Skill Doli Code Review

    Dolibarr/dolibarr

    Reviews Dolibarr PHP code for compliance with coding standards and security best practices, and fixes identified issues.

    7.7k GitHub starsUsed in 1 repo~1.1k tokens
    DevelopmentAuto-check passed
  • Dignified Python Standards

    docling-project/docling

    Applies opinionated production Python conventions chosen by the project's Python version: modern type syntax, pathlib, explicit checks and interface guidance.

    68k GitHub stars~1.5k tokensUpdated yesterday
    DevelopmentAuto-check passed

More from hashgraph-online/awesome-codex-plugins

All 736 skills in this repo
  • Anime Reaction Gif

    hashgraph-online/awesome-codex-plugins

    Create original anime-style reaction stickers as looping GIFs and MP4 previews, using generated character pose sheets and timed key poses.

    1.2k GitHub stars~922 tokensUpdated yesterday
    Auto-check passed
  • Calibredb

    hashgraph-online/awesome-codex-plugins

    Manage and query Calibre libraries with the calibredb CLI (local paths or Calibre Content server URLs).

    1.2k GitHub stars~1k tokensUpdated yesterday
    Auto-check passed
  • Rust API Test Harness

    hashgraph-online/awesome-codex-plugins

    A skill your agent uses when adding, changing, testing, or debugging Rust HTTP APIs and services, especially when Codex needs black-box integration tests, random-port app startup, real database test…

    1.2k GitHub stars~1.7k tokensUpdated yesterday
    Auto-check passed
  • Art

    hashgraph-online/awesome-codex-plugins

    Make a studio's game look like something at build time — a cover from a real frame of the game (free), painted covers, backdrops, textures and character plates from image models through the…

    1.2k GitHub stars~2.4k tokensUpdated yesterday
    Auto-check passed
  • Calle

    hashgraph-online/awesome-codex-plugins

    Use CALL-E from Codex through the calle CLI. An agent skill from hashgraph-online/awesome-codex-plugins.

    1.2k GitHub stars~2.9k tokensUpdated yesterday
    Auto-check passed
  • Game Balance Economy

    hashgraph-online/awesome-codex-plugins

    Balance game difficulty, resources, rewards, probability, progression, economies, and dominant strategies.

    1.2k GitHub stars~618 tokensUpdated yesterday
    Auto-check passed

Categories

Questions about Quality

What does Quality do?

AI code quality checks. An agent skill from hashgraph-online/awesome-codex-plugins. Quality is an agent skill from hashgraph-online/awesome-codex-plugins. AI code quality checks.

When should I use Quality?

Quality fits situations like: tasks that involve Code quality.

How do I install Quality in Claude Code?

Run `npx skills add hashgraph-online/awesome-codex-plugins --skill quality -a claude-code`. Or copy the skill folder (plugins/ariaxhan/kernel-claude/skills/quality in hashgraph-online/awesome-codex-plugins) into .claude/skills/quality in your project. Claude Code loads it when a task matches its description.

How do I install Quality in Codex?

Run `npx skills add hashgraph-online/awesome-codex-plugins --skill quality -a codex`. Or copy the skill folder (plugins/ariaxhan/kernel-claude/skills/quality in hashgraph-online/awesome-codex-plugins) into .agents/skills/quality in your project. Codex loads it when a task matches its description.

Can I use Quality 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 hashgraph-online/awesome-codex-plugins --skill 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/quality, .gemini/skills/quality, .github/skills/quality and .opencode/skills/quality in your project.

What does Quality need to run?

SKILL.md names no scripts, command-line tools or credentials: Quality is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Grep, Bash.

Does Quality 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 Quality safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Quality use?

Quality is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Quality use?

About 997 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.

What are the alternatives to Quality?

Skills that share tags, products or a category with Quality: WooCommerce Code Review (woocommerce/woocommerce, 11k stars), Systematic Code Refactoring (luongnv89/claude-howto, 42k stars), Install Anti-Slop Oxlint Rules (dmmulroy/anti-slop, 5.2k stars) and Constraint-Driven Development (addyosmani/agent-skills, 102k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Quality?

hashgraph-online (a GitHub organization) maintains it in hashgraph-online/awesome-codex-plugins, which has 1,232 GitHub stars. The repository holds 736 skills in this directory. The repository was last updated on October 6, 2026.

Source: hashgraph-online/awesome-codex-plugins on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.