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.
npx agentmods add skills/squall-chua/skills/code-qualitynpx skills add squall-chua/skills --skill code-qualitygit clone --depth 1 https://github.com/squall-chua/skillsWhat 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.
| Model | Per session | Once 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 |
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.
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.
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.
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.
- 2d ago First seen · 502 lines · 44 tokens per session scan A 3d8d2c1ab10f
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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