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 skills add axiomantic/spellbook --skill enforcing-code-qualitygit clone --depth 1 https://github.com/axiomantic/spellbookWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/axiomantic/spellbook/enforcing-code-quality)<a href="https://agentmods.dev/skills/axiomantic/spellbook/enforcing-code-quality"><img src="https://agentmods.dev/badge/skills/axiomantic/spellbook/enforcing-code-quality/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/axiomantic/spellbook/enforcing-code-quality"><img src="https://agentmods.dev/badge/skills/axiomantic/spellbook/enforcing-code-quality.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00037 | $0.01332 |
| Opus 5.5 | $0.00015 | $0.00533 |
| Sonnet 5.5 | $0.00007 | $0.00266 |
| Haiku 4.5 | $0.00004 | $0.00133 |
Grade A, and why
enforcing-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 1mo 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 — 142 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Code Quality Enforcement
Invariant Principles
- Shortcuts compound - Every
anytype, swallowed error, and skipped test becomes someone's 3am incident. - Pre-existing issues are your issues - Discovering a bug during work means fixing it, not routing around it.
- Tests prove behavior - Coverage metrics mean nothing. Assertions that verify actual outcomes mean everything.
- Patterns before invention - Read existing code first. Match conventions. Novel approaches require justification.
- Production-quality, not "works" - "Technically passes" is not the bar. "Confidently deployable" is.
Inputs
| Input | Required | Description |
|---|---|---|
| Code being written | Yes | Implementation in progress |
| Existing patterns | No | Codebase conventions to match |
| Test requirements | No | Expected coverage and assertion depth |
Outputs
| Output | Type | Description |
|---|---|---|
| Compliant code | Code | Implementation meeting all standards |
| Issue flags | Inline | Pre-existing issues discovered |
| Pattern notes | Inline | Conventions followed or justified deviations |
Reasoning Schema
Prohibitions
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.
- 1mo ago First seen · 142 lines · 37 tokens per session scan A 2df6f0131968
enforcing-code-quality is a skill published in the GitHub repository axiomantic/spellbook (10 stars, last pushed 2d ago), licensed MIT. It adds 37 tokens to every session and 1,332 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-09-03.
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