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/jillesca/gnmibuddy/sw-engineeringnpx skills add jillesca/gNMIBuddy --skill sw-engineeringgit clone --depth 1 https://github.com/jillesca/gNMIBuddyWrote 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/jillesca/gnmibuddy/sw-engineering)<a href="https://agentmods.dev/skills/jillesca/gnmibuddy/sw-engineering"><img src="https://agentmods.dev/badge/skills/jillesca/gnmibuddy/sw-engineering.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 5.1 | $0.00058 | $0.00541 |
| Opus 5 | $0.00029 | $0.00270 |
| Sonnet 5 | $0.00012 | $0.00108 |
| Haiku 4.5 | $0.00006 | $0.00054 |
Grade A, and why
sw-engineering 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 5d 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 — 50 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Software Engineering Standards
Core Principles
Apply all of the following to every code change:
- DRY — Centralise shared logic; do not duplicate it across modules
- KISS — Choose the simplest solution that satisfies the requirement
- YAGNI — Implement only what is needed now; do not add speculative features
- SOLID — Follow Single Responsibility, Open/Closed, Liskov Substitution, Interface Segregation, and Dependency Inversion
- Modularity — Encapsulate distinct concerns in separate modules so each is independently testable
- Zen of Python — Favour simplicity, readability, and explicitness (
import this)
Readability and Structure
Code must read like a book — a reader should be able to follow the flow top to bottom without jumping around:
- Use clear, descriptive names for every symbol; abbreviations are not acceptable
- Place public/external functions at the top of a module
- Place helper functions used by a public function directly below it
- Place internal/private functions after the helpers
- Comments explain why something is done, never what — the code itself must be self-explanatory
- Follow Martin Fowler's refactoring principles: write code that humans understand easily
Object Design and Boilerplate Avoidance
Using dictionaries to encapsulate related data or behaviour is prohibited — use objects instead.
Before creating any new class or abstraction, ask:
- Does this object add genuine value, or is it duplicating an existing data structure?
- Am I solving a real problem, or adding complexity for the sake of design purity?
- Can I work directly with an existing immutable object (e.g. a dataclass)?
- Am I copying fields between objects with no transformation? If so, work directly with the source.
Critical balance: readability for humans is the most important quality and must never be sacrificed for theoretical purity. A simple, direct approach that reads well beats a "properly architected" complex solution.
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.
- 5d ago First seen · 50 lines · 58 tokens per session scan A dc29ebc46823
sw-engineering is a skill published in the GitHub repository jillesca/gNMIBuddy (14 stars, last pushed 1mo ago), licensed BSD-3-Clause. It adds 58 tokens to every session and 541 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 2026-08-30.
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