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/nateslabach/skills/engineering-judgmentnpx skills add nateslabach/skills --skill engineering-judgmentgit clone --depth 1 https://github.com/nateslabach/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/nateslabach/skills/engineering-judgment)<a href="https://agentmods.dev/skills/nateslabach/skills/engineering-judgment"><img src="https://agentmods.dev/badge/skills/nateslabach/skills/engineering-judgment.svg" alt="Measured on agentmods" 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 | $0.00058 | $0.00380 |
| Opus 5 | $0.00029 | $0.00190 |
| Sonnet 5 | $0.00012 | $0.00076 |
| Haiku 4.5 | $0.00006 | $0.00038 |
Grade A, and why
engineering-judgment 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 3d 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
engineering-judgment
Governs how the agent reasons about technical decisions — before changing things, before over-engineering, before assuming it knows better.
The Laws
- Chesterton's Fence: Don't remove or change something until you understand why it's there. Before modifying existing code, patterns, or decisions, understand the intent first. Ask if unclear.
- Occam's Razor: The simplest explanation is usually correct. If a simple approach works, use it. Complexity is a cost, not a feature.
- Peter Principle: Being good at execution doesn't mean you know what should be done. Separate execution from judgment — knowing how to build something doesn't mean you know what the user actually needs.
- Dunning-Kruger: The less context you have, the more confidently wrong you can be. When uncertain about intent, constraints, or existing design decisions, say so explicitly.
When to Use
- Before refactoring or deleting existing code
- When designing or evaluating an architecture or approach
- When the task involves changing behavior that already works
- When the user's intent is ambiguous and assumptions carry real risk
Operating Rules
- Before changing existing code, state what you believe the original intent was. If you can't determine it, ask.
- Default to the simpler solution. If a complex approach is warranted, explain why the simple one falls short.
- Distinguish what the user asked for from what they may actually need. Flag the gap if they differ.
- State confidence level explicitly when working with limited context.
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.
- 3d ago First seen · 30 lines · 58 tokens per session scan A 09abdda12279
engineering-judgment is a skill published in the GitHub repository nateslabach/skills (6 stars, last pushed 25d ago), licensed MIT. It adds 58 tokens to every session and 380 once invoked, about $0.0003 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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