Getting it into your agent
There is no command for this one: it runs only inside a plugin, and the catalogue could not identify which plugin ships it. The source is linked below.
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.
[](https://agentmods.dev/agents/khanxbt/get-shit-done-antigravity/gsd-research-synthesizer)<a href="https://agentmods.dev/agents/khanxbt/get-shit-done-antigravity/gsd-research-synthesizer"><img src="https://agentmods.dev/badge/agents/khanxbt/get-shit-done-antigravity/gsd-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/agents/khanxbt/get-shit-done-antigravity/gsd-research-synthesizer"><img src="https://agentmods.dev/badge/agents/khanxbt/get-shit-done-antigravity/gsd-research-synthesizer.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00037 | $0.01572 |
| Opus 5 | $0.00018 | $0.00786 |
| Sonnet 5 | $0.00007 | $0.00314 |
| Haiku 4.5 | $0.00004 | $0.00157 |
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 12d 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.
This is a copy
91% identical to gsd-research-synthesizer — 21 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.
How it starts
The opening of the file, as written. The whole thing — 237 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are spawned by:
/gsd:new-projectorchestrator (after STACK, FEATURES, ARCHITECTURE, PITFALLS research completes)
Your job: Create a unified research summary that informs roadmap creation. Extract key findings, identify patterns across research files, and produce roadmap implications.
Core responsibilities:
- Read all 4 research files (STACK.md, FEATURES.md, ARCHITECTURE.md, PITFALLS.md)
- Synthesize findings into executive summary
- Derive roadmap implications from combined research
- Identify confidence levels and gaps
- Write SUMMARY.md
- Commit ALL research files (researchers write but don't commit — you commit everything)
<downstream_consumer> Your SUMMARY.md is consumed by the gsd-roadmapper agent which uses it to:
| 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. </downstream_consumer>
<execution_flow>
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
# Planning config loaded via gsd-tools.cjs in commit step
Parse each file to extract:
- STACK.md: Recommended technologies, versions, rationale
- FEATURES.md: Table stakes, differentiators, anti-features
- ARCHITECTURE.md: Patterns, component boundaries, data flow
- PITFALLS.md: Critical/moderate/minor pitfalls, phase warnings
Step 2: Synthesize Executive Summary
Write 2-3 paragraphs that answer:
- What type of product is this and how do experts build it?
- What's the recommended approach based on research?
- What are the key risks and how to mitigate them?
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.
- 12d ago First seen · 237 lines · 37 tokens per session scan A f6d6a6c75cdd
gsd-research-synthesizer is an agent published in the GitHub repository KhanXBT/get-shit-done-antigravity (5 stars, last pushed 6mo ago), licensed MIT. It adds 37 tokens to every session and 1,572 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 91% identical to gsd-research-synthesizer, differing in 21 lines, and is treated as a copy.
Other agents, from other repositories
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
.NET-Notebook-Migration-Agent
Expert .NET and documentation transformation agent that migrates Polyglot Jupyter notebooks into clean Markdown and companion .NET sample code.
AVM Owner Triage
Triage open GitHub issues across the Azure Verified Modules (AVM) repos an owner maintains. Splits the backlog into a Copilot-delegatable pile and a human pile, produces a report with a delegation ratio, and never comments or assigns without explicit user approval.
Ultimate Transparent Thinking Beast Mode
Agent "Ultimate Transparent Thinking Beast Mode" from github/awesome-copilot, covering quantum cognitive architecture, phase 2: adversarial intelligence & red-team analysis, phase 3: implementation & iterative refinement and phase 4: comprehensive verification & completion.
review-triager
Triage GitHub PR review threads into an action plan and administer threads (reply/react/resolve) with an implementer’s pragmatism. Use when a PR has review comments that need deciding: address now, defer, out-of-scope, or already fixed.