code-quality

A code-quality review that combines seven views of a project: test coverage, test strength, change risk, specified behaviour, code construction, duplicated knowledge, and readability.

In plain words
What is it for?
Use it to read available quality reports, decide which dimensions apply, cross-check their findings, and produce an overall verdict.
Why use it?
It brings separate reports together into one graded assessment of how reliable and maintainable the code and tests are.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/squall-chua/skills/code-quality
Any agent
npx skills add squall-chua/skills --skill code-quality
Clone the repo
git clone --depth 1 https://github.com/squall-chua/skills

Made for: Claude Code, Codex.

Per session 44 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 7,778 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00044 $0.07778
Opus 5 $0.00022 $0.03889
Sonnet 5 $0.00009 $0.01556
Haiku 4.5 $0.00004 $0.00778

Measured 2d ago against content hash 3d8d2c1ab10f, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

code-quality scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/quality/code-quality/SKILL.md · 502 lines

How it starts

The opening of the file, as written. The whole thing — 502 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Seven dimensions, each named for what it measures rather than the tool that measured it:

Dimension The question it answers Measured against Filled by
Verified behaviour how much of the code runs under test the suite /code-coverage
Test strength would the tests catch a bug, or only run past it the suite /mutation-test
Change risk which functions are dangerous to edit the code, crossed with the suite /crap-test
Specified behaviour does the written spec hold the suite /to-bdd, /wire-bdd, /run-bdd
Construction what is wrong with the code as written the code /static-analysis
Single source is one piece of knowledge living in several places the code, crossed with git history /dry-test
Readability can the next person read this and change it safely the code, read as a reader /clean-code

These are the seven a developer can answer without deploying anything. Every one is measured against the code or the suite, so all seven work on a laptop, on a branch, at module scope, in the middle of an afternoon. That is what makes this the set to keep green during development rather than at a release gate.

Two sets sit outside this skill. /release-quality covers the five that need a running system; /visual-quality the two that need a rendered interface. Name both at the end of the report so nobody reads seven green rows as a whole-system pass.

Each dimension alone is easy to misread — 90% coverage looks like health until the mutation score says the tests assert nothing. On a repo with no reports at all this skill does not stop at "unproven": it works out which dimensions the project should cover and hands over the command for each. Three rules hold throughout.

Relevance comes before measurement. Grading a project against dimensions it has no surface for manufactures failures and buries the real ones.

The verdict is a floor, not an average. Sound on six and fragile on the seventh is fragile.

Absent evidence is never good news. No report, a skipped one, and a stale one all read as unproven.

1. Find the reports

Search every .reports/ folder in the repository. The seven siblings write coverage-report-, mutation-report-, crap-report-, bdd-report-, static-analysis-report-, dry-report-, and clean-code-report-, timestamped, one file per run, per module. Take the newest of each kind, per module — on a fix run a sibling writes a before and an after, and the after is the one that describes the code as it stands.

Set your own past reports aside. code-quality-report-* files are this skill's own output and they are the comparison in step 6, never a dimension. Grading one as evidence pins the new run to the old floor, so a codebase that has improved keeps reporting last month's grade.

quality-report-* is this skill's former name, from before the twelve dimensions were split across three phases. Treat one as the comparison too, and say in step 6 that it graded a wider set — a verdict that looks worse beside it may only be a narrower one, which is exactly the widened-standard case that step warns about, running in reverse.

Leave the other two phases' reports alone as dimensions too. release-quality-report-*, visual-quality-report-*, and the five release and two visual sibling reports belong to /release-quality and /visual-quality. Note in step 5 that they exist — a security-report- sitting there is worth cross-reading — but never grade one here.

Read anything else in there too. A dependency audit, a benchmark, a type-check log, a complexity report: each becomes an extra dimension in step 4 rather than a file you stepped over.

Done when: you have every report found with its kind, module, timestamp, and the commit named in its header; a list of the seven kinds that turned up nothing; the newest code-quality-report-* held aside as the comparison rather than counted as a dimension; and any release or visual reports noted as cross-reading material rather than as dimensions.

Read the full file on GitHub · 502 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 502 lines · 44 tokens per session scan A 3d8d2c1ab10f

Subscribe to this mod's changes

code-quality is a skill published in the GitHub repository squall-chua/skills (2 stars, last pushed 3d ago), licensed MIT. It adds 44 tokens to every session and 7,778 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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