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 AmariahAK/atlarix-skills --skill acr-anti-overengineeringgit clone --depth 1 https://github.com/AmariahAK/atlarix-skillsWrote 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/amariahak/atlarix-skills/acr-anti-overengineering)<a href="https://agentmods.dev/skills/amariahak/atlarix-skills/acr-anti-overengineering"><img src="https://agentmods.dev/badge/skills/amariahak/atlarix-skills/acr-anti-overengineering/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/amariahak/atlarix-skills/acr-anti-overengineering"><img src="https://agentmods.dev/badge/skills/amariahak/atlarix-skills/acr-anti-overengineering.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 | $0.00015 | $0.00219 |
| Opus 5 | $0.00008 | $0.00110 |
| Sonnet 5 | $0.00003 | $0.00044 |
| Haiku 4.5 | $0.00002 | $0.00022 |
Grade A, and why
Prevent AI over-engineering by keeping changes scoped, simple, and directly tied 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 12d 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
Prevent AI over-engineering by keeping changes scoped, simple, and directly tied
When to use this skill
Prevent AI over-engineering by keeping changes scoped, simple, and directly tied to the user's request
Source
Synced from https://github.com/PatrickJS/awesome-cursorrules/tree/main/rules/anti-overengineering.mdc.
Anti-Over-Engineering
Only change what was asked. Simplest solution first. When unsure, ask.
Do not modify unrequested code, add abstractions without a concrete need, import unnecessary dependencies, rewrite entire files for small changes, or add error handling for impossible scenarios.
Before delivery: verify you only changed requested code, check for simpler approaches, confirm no unrequested files were touched.
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.
- 12d ago First seen · 25 lines · 15 tokens per session scan A 06a8fb85e979
Prevent AI over-engineering by keeping changes scoped, simple, and directly tied is a skill published in the GitHub repository AmariahAK/atlarix-skills (2 stars, last pushed 5d ago), licensed Apache-2.0. It adds 15 tokens to every session and 219 once invoked, about $0.0001 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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