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.
git clone --depth 1 https://github.com/0martinez/get-design-doneWrote 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/agents/0martinez/get-design-done/gdd-brief-extractor)<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>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 | $0.00034 | $0.00670 |
| Opus 5 | $0.00017 | $0.00335 |
| Sonnet 5 | $0.00007 | $0.00134 |
| Haiku 4.5 | $0.00003 | $0.00067 |
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.
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>
- Read the brief template from the templates directory
- Parse the user's answers — structured selections or freeform transcript
- 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)"
- Write BRIEF.md to the design directory
- 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>
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.
- 8d ago First seen · 73 lines · 34 tokens per session scan A 6c65a3037dd3
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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Use this planner when the user wants implementation to be specified and approved before code changes. Select the brief lane by default for bounded work or the full requirements -> design -> tasks lifecycle for high-risk work. Never implement before the selected lane's approval gate.