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 Eliyce/paqad-ai --skill style-enforcergit clone --depth 1 https://github.com/Eliyce/paqad-aiWrote 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/eliyce/paqad-ai/style-enforcer)<a href="https://agentmods.dev/skills/eliyce/paqad-ai/style-enforcer"><img src="https://agentmods.dev/badge/skills/eliyce/paqad-ai/style-enforcer/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/eliyce/paqad-ai/style-enforcer"><img src="https://agentmods.dev/badge/skills/eliyce/paqad-ai/style-enforcer.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 | $0.00034 | $0.00287 |
| Opus 5 | $0.00017 | $0.00143 |
| Sonnet 5 | $0.00007 | $0.00057 |
| Haiku 4.5 | $0.00003 | $0.00029 |
Grade A, and why
style-enforcer 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 9d 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.
What it actually says
Style Enforcer
What It Does
Applies the project's writing-style rules (and only those rules) to a draft so style is enforced consistently rather than guessed each time.
Use This When
Use this as the final pass before publish, after content-reviewer and (when applicable) seo-optimizer have run.
Inputs
- The draft.
docs/instructions/rules/writing-style.md(the source of truth — never override with general rules).assets/default-rules.txtonly when the project has no writing-style file.
Procedure
- Run
scripts/check-style.sh <draft>— flags violations of the style file (e.g. forbidden phrases, required cases, Oxford-comma policy). - For each flagged line, apply the project rule, never a generic preference.
- Format the change list per
assets/output.template.md.
Output Contract
- Match
assets/output.template.md:## Style Edits(one bullet per change with line number and rule citation).
Resources
references/style-source.mdscripts/check-style.shassets/output.template.mdassets/default-rules.txt
What ships with it
4 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.
- 9d ago First seen · 38 lines · 34 tokens per session scan A 2ebcd376efcd
style-enforcer is a skill published in the GitHub repository Eliyce/paqad-ai (8 stars, last pushed yesterday), licensed MIT. It adds 34 tokens to every session and 287 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 2026-09-03.
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auto-go
A command that implements code from a SPEC, a document describing the required behavior and work.
auto-plan
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agent-pipeline
Multi-agent pipeline orchestration skill.
adaptive-quality
Per-task execution profile selection based on complexity in Balanced quality mode.