create-tech-spec

A guided way to turn a software idea or change into a detailed technical specification. It asks questions, examines the code, and produces instructions that developers can implement.

In plain words
What is it for?
Use it to investigate an existing project and write an implementation-ready plan for a new feature, fix, or technical change.
Why use it?
It helps fill in missing requirements before coding begins. This reduces unclear decisions, unexpected work, and specifications that are too vague to build from.

Command for Claude Code

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.

agentmods
npx agentmods add commands/terryso/autoqa-agent/create-tech-spec
Clone the repo
git clone --depth 1 https://github.com/terryso/AutoQA-Agent

Made for: Claude Code.

Per session 17 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 183 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 80% copy Near-identical to another mod 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 $0.00017 $0.00183
Opus 5 $0.00009 $0.00092
Sonnet 5 $0.00003 $0.00037
Haiku 4.5 $0.00002 $0.00018

Measured 2d ago against content hash 0450a8e8eb5c, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

create-tech-spec 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 2d 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.

Origin

This is a copy

80% identical to correct-course — 6 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.claude/commands/bmad/bmm/workflows/create-tech-spec.md · 14 lines

What it actually says

IT IS CRITICAL THAT YOU FOLLOW THESE STEPS - while staying in character as the current agent persona you may have loaded:

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. 2d ago First seen · 14 lines · 17 tokens per session scan A 0450a8e8eb5c

Subscribe to this mod's changes

create-tech-spec is a command published in the GitHub repository terryso/AutoQA-Agent (134 stars, last pushed 7mo ago), licensed MIT. It adds 17 tokens to every session and 183 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 80% identical to correct-course, differing in 6 lines, and is treated as a copy.