engineering

engineering is a skill for Codex from TIKAZI/TIKAZ-AI-Skills. It costs 43 tokens per session (447 once invoked), scanned A, original, MIT.

A production software-delivery workflow covering requirements, code changes, testing, security review, data operations, and release evidence.

In plain words
What is it for?
Planning and implementing cross-file changes, mapping unfamiliar repositories, routing database or media work, running tests, reviewing security, and preparing releases.
Why use it?
It coordinates substantial changes across files or systems and makes the remaining risks and verification results explicit.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Planning and implementing cross-file changes, mapping unfamiliar repositories, routing database or media work, running tests, reviewing security, and preparing releases.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/tikazi/tikaz-ai-skills/engineering
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 TIKAZI/TIKAZ-AI-Skills --skill engineering
Clone the repo
git clone --depth 1 https://github.com/TIKAZI/TIKAZ-AI-Skills

Made for: 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

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/tikazi/tikaz-ai-skills/engineering"><img src="https://agentmods.dev/badge/skills/tikazi/tikaz-ai-skills/engineering.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 43 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 447 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 $0.00043 $0.00447
Opus 5 $0.00022 $0.00224
Sonnet 5 $0.00009 $0.00089
Haiku 4.5 $0.00004 $0.00045

Measured 11d ago against content hash 88e219f51442, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

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 11d 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.

suites/engineering/SKILL.md · 42 lines

How it starts

The opening of the file, as written. The whole thing — 42 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Engineering

Designed, integrated, refactored, and continuously maintained by TIKAZ.

Inputs and routing

Accept a repository, requested change, constraints, risk boundary, and expected evidence. Use the orchestrator for cross-file or release-bound work; use a child Skill directly when architecture mapping, delivery, security audit, Supabase operations, or media-pipeline engineering is the whole outcome.

TIKAZ method

  1. Freeze scope, non-goals, acceptance criteria, and evidence required for completion.
  2. Use code-intelligence to map architecture and impact before editing unfamiliar or cross-cutting code.
  3. Use engineering-delivery as the lifecycle owner: plan small slices, implement, test, review, and report.
  4. Route only domain-specific work to supabase-operations or video-workbench.
  5. Run skill-security-audit before importing unfamiliar executable skills or dependencies.
  6. Keep an evidence ledger: commands, results, artifacts, regressions checked, and remaining risk.

Conflict rule

code-intelligence advises; engineering-delivery executes. Domain adapters cannot expand scope without explicit acceptance criteria.

Completion gate

Require repository-native validation, final diff review, no leaked secrets, an explicit release/rollback note when applicable, and objective evidence for every acceptance criterion.

Output, fallback, and limits

Return the agreed scope, impact map, implementation record, verification evidence, rollback note, and remaining risks. If repository-native commands or required credentials are unavailable, stop at the last verified artifact and state the missing capability. Do not deploy, migrate production data, or perform destructive actions without explicit authority.

Example

Use engineering to map this API change, implement it in small verified slices, review the final diff, and provide rollback evidence.

Read references/routing.md and references/output-contract.md.

Read the full file on GitHub · 42 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. 11d ago First seen · 42 lines · 43 tokens per session scan A 88e219f51442

Subscribe to this mod's changes

engineering is a skill published in the GitHub repository TIKAZI/TIKAZ-AI-Skills (6 stars, last pushed 8d ago), licensed MIT. It adds 43 tokens to every session and 447 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 2026-08-31.

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