engineering-principles

engineering-principles is a skill for Claude Code, Codex from damianvtran/local-operator. It costs 42 tokens per session (619 once invoked), scanned A, original, MIT.

A set of practical rules for making engineering changes smaller and safer. It covers choosing simple data structures, validating at boundaries, making repeated operations safe, and removing old code after migration.

In plain words
What is it for?
Use it when designing, building, or reviewing software changes. It guides scope control, data modelling, input validation, idempotent operations, and migrations.
Why use it?
It reduces unnecessary abstractions, review work, and risks from mixing unrelated refactors into a change. It also helps prevent duplicate effects and contradictory states.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it when designing, building, or reviewing software changes. It guides scope control, data modelling, input validation, idempotent operations, and migrations.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/damianvtran/local-operator/engineering-principles
Install

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.

Any agent
npx skills add damianvtran/local-operator --skill engineering-principles
Clone the repo
git clone --depth 1 https://github.com/damianvtran/local-operator

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for engineering-principles

README.md
[![agentmods](https://agentmods.dev/badge/skills/damianvtran/local-operator/engineering-principles/github.svg)](https://agentmods.dev/skills/damianvtran/local-operator/engineering-principles)
Your own site
<a href="https://agentmods.dev/skills/damianvtran/local-operator/engineering-principles"><img src="https://agentmods.dev/badge/skills/damianvtran/local-operator/engineering-principles/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.

agentmods 80×15 button for engineering-principles

Your own site · 80×15
<a href="https://agentmods.dev/skills/damianvtran/local-operator/engineering-principles"><img src="https://agentmods.dev/badge/skills/damianvtran/local-operator/engineering-principles.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 42 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 619 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00042 $0.00619
Opus 5.5 $0.00017 $0.00248
Sonnet 5.5 $0.00008 $0.00124
Haiku 4.5 $0.00004 $0.00062

Measured 3d ago against content hash b9053a3f1999, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

engineering-principles 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.

local_operator/skills/builtin/engineering-principles/SKILL.md · 39 lines

How it starts

The opening of the file, as written. The whole thing — 39 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Engineering principles

Judgement for building changes. One rule per line; the third column is what breaking it looks like.

Principle In practice Violated by
Laziness protocol Do not build what nothing needs yet. Speculative abstraction, config for a case nobody has
Smallest change The best change leaves the least to review, test, and revert. Drive-by refactors mixed into a fix
Subtract before adding Delete a concept before you add one; every new layer is paid for forever. A new wrapper around an old wrapper
Data structures before logic Get the shape of the data right and the code collapses into simple reads. Nested conditionals over a badly shaped object
Boundary discipline Validate at the edges (user input, network, files); trust the interior. Re-validating everywhere, or validating nowhere
Type system discipline Make illegal states unrepresentable where the language allows it. Runtime flags that contradict each other
Idempotency Running it twice is as safe as running it once. Operations that double-charge, double-post, or duplicate
Migrate then delete Expand, migrate callers, contract; the old path goes in the same change. "Deprecated" code left for a ticket that never comes
Foundations before features Verify the facts the design rests on before building on them. A feature built on an unmeasured assumption
Encode lessons in structure After the same bug twice, change the code or tooling so it cannot recur. A comment saying "be careful"
Highest enforceable level Fix at the strongest level available: lint, then test, then prose. A wiki page about the rule being broken
Experience first The user-visible result decides; internal elegance is a cost, not a product. Refactors with no observable change
Delete dead weight Unused, unreachable, and commented-out code is a claim nobody checks. "We might need it"; version control remembers

Costly evidence preflight

Read the full file on GitHub · 39 lines

Changes

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.

  1. 3d ago Changed · +9 lines b9053a3f1999
  2. 5d ago First seen · 30 lines · 42 tokens per session scan A f8266cb52a07

Subscribe to this mod's changes

engineering-principles is a skill published in the GitHub repository damianvtran/local-operator (218 stars, last pushed today), licensed MIT. It adds 42 tokens to every session and 619 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-10-11.

Related

Other skills, from other repositories

building-agents

Use when building or restructuring an LLM agent — provider adapter, tool calling, structured output, RAG, agent loop, eval gate, cost routing, tracing, MCP server — model-agnostic across OpenAI/Anthropic/Gemini/OSS so a model swap is a config change. NOT vector-store SQL alone (that is postgresdb) or service…

ericrisco/rsc-harness · 85 tokens

agent-eval

Use when measuring whether an LLM or agent system actually got better and gating merges on it: golden sets, fixing an inflated LLM-as-judge, scoring RAG (faithfulness, contextual recall) or agent trajectories (tool correctness, completion), or picking an eval framework. NOT building the agent loop, tools or RAG…

ericrisco/rsc-harness · 79 tokens

prompt-engineering

Use when one prompt must give the same right answer across reruns, models, and pasted-in hostile input: forcing a fixed schema, picking the few-shot set, ordering the prompt blocks, or the inline cases you run while tuning. NOT the agent loop, tools, or retrieval (that is building-agents), NOT a standing CI eval…

ericrisco/rsc-harness · 83 tokens

coding-standards

Applies language-neutral engineering standards when writing or reviewing code, especially around boundaries, failures, domain models, dependencies, tests, and type safety.

iurysza/android-use · 34 tokens

domain-modeling

Maintains project domain language, context maps, diagrams, and architectural decisions under ai-artifacts. Use when clarifying terminology, bounded contexts, or durable design decisions.

iurysza/android-use · 37 tokens

setup-goal

Turns an idea into an approved goal package under ai-artifacts. Use when work needs clarified intent, scope, accepted facts, an implementation plan, and an explicit handoff.

iurysza/android-use · 39 tokens