gdd-brief-extractor

gdd-brief-extractor is an agent for Claude Code from 0martinez/get-design-done. It costs 34 tokens per session (670 once invoked), scanned A, original, MIT.

An agent that converts answers from a design-questioning process into a structured BRIEF.md file. The brief records decisions such as visual style, mood, typography, colours, layout density, platform, and things to avoid.

In plain words
What is it for?
Use it after /gdd:new-design gathers design answers. It helps document visual references, brand direction, priorities, and project constraints.
Why use it?
It turns scattered or ambiguous answers into one design document that can guide later work. Missing choices are filled with stated assumptions.

Agent for Claude Code

Written for Claude Code: a Claude Code subagent (agents/*.md). Also seen: names the AskUserQuestion tool.

Good fit Use it after /gdd:new-design gathers design answers. It helps document visual references, brand direction, priorities, and project constraints.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/0martinez/get-design-done/gdd-brief-extractor
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.

Clone the repo
git clone --depth 1 https://github.com/0martinez/get-design-done

Made for: Claude Code.

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 gdd-brief-extractor

README.md
[![agentmods](https://agentmods.dev/badge/agents/0martinez/get-design-done/gdd-brief-extractor.svg)](https://agentmods.dev/agents/0martinez/get-design-done/gdd-brief-extractor)
Your own site
<a href="https://agentmods.dev/agents/0martinez/get-design-done/gdd-brief-extractor"><img src="https://agentmods.dev/badge/agents/0martinez/get-design-done/gdd-brief-extractor.svg" alt="Measured on agentmods" height="20"></a>
Per session 34 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 670 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 $0.00034 $0.00670
Opus 5 $0.00017 $0.00335
Sonnet 5 $0.00007 $0.00134
Haiku 4.5 $0.00003 $0.00067

Measured 8d ago against content hash 6c65a3037dd3, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

gdd-brief-extractor 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 8d 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.

agents/gdd-brief-extractor.md · 73 lines

What it actually says

Structured Answer Keys

Answers arrive as header → selected label(s) pairs:

Key Maps to Brief Field
Style ref Visual references, Comparable products
Warmth Mood, Brand direction
Priority Primary design goal
Typography Font direction (inform tokens later)
Color Color strategy (inform tokens later)
Density Layout approach, spacing direction
Platform Platform field
Avoid Constraints, anti-patterns

When a user selected "Other" and provided custom text, that text appears as the answer value. Treat it as the primary input for that dimension.

<execution_flow>

  1. Read the brief template from the templates directory
  2. Parse the user's answers — structured selections or freeform transcript
  3. For each field:
    • If the user provided a clear answer → use it directly
    • If the user selected "Other" with custom text → use that text, interpret through the design-questioning.md translation guides
    • If the user's answer is ambiguous → synthesize the most likely interpretation
    • If no answer was given → use a sensible default and mark with "(assumed)"
  4. Write BRIEF.md to the design directory
  5. Return a summary of what was captured and what was assumed </execution_flow>

<output_format> Write the BRIEF.md file, then return a structured summary:

## Brief Created

**Captured with confidence**: [list of clearly answered sections]
**Assumed/inferred**: [list of sections that used defaults]
**Needs clarification**: [list of ambiguous areas, if any]

</output_format>

<quality_rules>

  • Product description: 1-2 sentences, not a paragraph
  • Visual references: always include at least 2 comparable products
  • Constraints: be specific ("iOS and web" not "multi-platform")
  • Open questions: limit to 3-5 most impactful unknowns
  • Total length: BRIEF.md should be under 80 lines </quality_rules>
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. 8d ago First seen · 73 lines · 34 tokens per session scan A 6c65a3037dd3

Subscribe to this mod's changes

gdd-brief-extractor is an agent published in the GitHub repository 0martinez/get-design-done (5 stars, last pushed 6mo ago), licensed MIT. It adds 34 tokens to every session and 670 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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