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 rjmurillo/ai-agents --skill style-enforcementgit clone --depth 1 https://github.com/rjmurillo/ai-agentsWrote 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/rjmurillo/ai-agents/style-enforcement)<a href="https://agentmods.dev/skills/rjmurillo/ai-agents/style-enforcement"><img src="https://agentmods.dev/badge/skills/rjmurillo/ai-agents/style-enforcement/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/rjmurillo/ai-agents/style-enforcement"><img src="https://agentmods.dev/badge/skills/rjmurillo/ai-agents/style-enforcement.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00103 | $0.02891 |
| Opus 5 | $0.00051 | $0.01445 |
| Sonnet 5 | $0.00021 | $0.00578 |
| Haiku 4.5 | $0.00010 | $0.00289 |
Grade A, and why
style-enforcement 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 8d 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 — 430 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Style Enforcement
Validate code files against configured style rules from project configuration files.
Triggers
check style compliancevalidate editorconfig rulesrun style enforcementcheck naming conventionsvalidate line endings
Quick Start
# Check all files in current directory
python3 scripts/check_style.py --target .
# Check only changed files (CI mode)
python3 scripts/check_style.py --git-staged
# Check specific files
python3 scripts/check_style.py src/models/user.cs src/services/auth.cs
# JSON output for automation
python3 scripts/check_style.py --target . --format json --output violations.json
Evidence
Created based on analysis of moq.analyzers closed PR reviewer patterns:
- 9.8% of human reviewer feedback (11 of 112 comments) addressed naming/style conventions
- Common patterns: line endings (CRLF vs LF), naming conventions (FooAsync), style guide violations
- Examples: "Use lf not crlf", "Should be named FooAsync", "Conflicting style rules"
Source: .agents/analysis/moq-analyzers-reviewer-patterns-2026-02-08.md
Configuration Sources
The skill reads style configuration from these files (in priority order):
| File | Purpose | Scope |
|---|---|---|
.editorconfig |
EditorConfig standard | All languages |
.stylecop.json / stylecop.json |
StyleCop Analyzers rules | C# |
Directory.Build.props |
MSBuild properties | .NET projects |
.editorconfig Properties Checked
| Property | Values | Languages |
|---|---|---|
end_of_line |
lf, crlf, cr | All |
indent_style |
space, tab | All |
indent_size |
number | All |
charset |
utf-8, utf-8-bom, latin1 | All |
trim_trailing_whitespace |
true, false | All |
insert_final_newline |
true, false | All |
What ships with it
2 files 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.
- 8d ago First seen · 430 lines · 103 tokens per session scan A b9ecc0242fe0
style-enforcement is a skill published in the GitHub repository rjmurillo/ai-agents (45 stars, last pushed yesterday), licensed MIT. It adds 103 tokens to every session and 2,891 once invoked, about $0.0005 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 2026-09-03.
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