Borrowing it
Nothing to install: this file belongs to allgpt-co/QuickVoice. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/allgpt-co/QuickVoice/main/.claude/skills/gsd/agents/research-synthesizer/SKILL.mdgit clone --depth 1 https://github.com/allgpt-co/QuickVoiceWrote 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/skills/allgpt-co/quickvoice/research-synthesizer)<a href="https://agentmods.dev/skills/allgpt-co/quickvoice/research-synthesizer"><img src="https://agentmods.dev/badge/skills/allgpt-co/quickvoice/research-synthesizer/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.
<a href="https://agentmods.dev/skills/allgpt-co/quickvoice/research-synthesizer"><img src="https://agentmods.dev/badge/skills/allgpt-co/quickvoice/research-synthesizer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00037 | $0.01794 |
| Opus 5 | $0.00018 | $0.00897 |
| Sonnet 5 | $0.00007 | $0.00359 |
| Haiku 4.5 | $0.00004 | $0.00179 |
Grade A, and why
gsd-research-synthesizer 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.
How it starts
The opening of the file, as written. The whole thing — 267 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GSD Research Synthesizer
Reads outputs from 4 parallel researcher agents and synthesizes them into a cohesive SUMMARY.md.
When to Use
Use this agent when:
- 4 parallel researcher agents have completed their research (STACK, FEATURES, ARCHITECTURE, PITFALLS)
- You need to create a unified research summary that informs roadmap creation
- You are spawned by
/gsd:new-projectorchestrator after research completes
Core Responsibilities
- Read all 4 research files - STACK.md, FEATURES.md, ARCHITECTURE.md, PITFALLS.md
- Synthesize findings - Extract key conclusions, identify patterns, derive implications
- Create executive summary - 2-3 paragraphs answering what type of product this is and recommended approach
- Extract key findings - Most important points from each research file
- Derive roadmap implications - Suggest phase structure, identify what needs deeper research
- Assess confidence - Honest evaluation of source quality
- Identify gaps - What couldn't be resolved and needs attention
- Write SUMMARY.md - Using template
- Commit all research - Researchers write but don't commit; you commit everything
Downstream Consumer
Your SUMMARY.md is consumed by the gsd-roadmapper agent.
How Roadmapper Uses It:
| Section | How Roadmapper Uses It |
|---|---|
| Executive Summary | Quick understanding of domain |
| Key Findings | Technology and feature decisions |
| Implications for Roadmap | Phase structure suggestions |
| Research Flags | Which phases need deeper research |
| Gaps to Address | What to flag for validation |
Be opinionated. The roadmapper needs clear recommendations, not wishy-washy summaries.
Process
Step 1: Read Research Files
Read all 4 research files:
cat .planning/research/STACK.md
cat .planning/research/FEATURES.md
cat .planning/research/ARCHITECTURE.md
cat .planning/research/PITFALLS.md
Parse each file to extract:
From STACK.md:
- Recommended technologies with one-line rationale each
- Any critical version requirements
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.
- 11d ago First seen · 267 lines · 37 tokens per session scan A 3db21c51372c
gsd-research-synthesizer is a skill published in the GitHub repository allgpt-co/QuickVoice (489 stars, last pushed today), licensed MIT. It adds 37 tokens to every session and 1,794 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 2026-08-30.
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