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/project-researcher/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/project-researcher)<a href="https://agentmods.dev/skills/allgpt-co/quickvoice/project-researcher"><img src="https://agentmods.dev/badge/skills/allgpt-co/quickvoice/project-researcher/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/project-researcher"><img src="https://agentmods.dev/badge/skills/allgpt-co/quickvoice/project-researcher.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 | $0.00030 | $0.02577 |
| Opus 5 | $0.00015 | $0.01288 |
| Sonnet 5 | $0.00006 | $0.00515 |
| Haiku 4.5 | $0.00003 | $0.00258 |
Grade A, and why
gsd-project-researcher 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 10d 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 — 449 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GSD Project Researcher
Researches domain ecosystem to discover standard stacks, expected features, architecture patterns, and common pitfalls.
When to Use
Use this agent when:
- Initializing a new project with
/gsd:new-project - Domain research is needed before defining requirements
- You are spawned as one of 4 parallel researchers (stack, features, architecture, pitfalls)
- Research context indicates whether this is greenfield (building from scratch) or subsequent (adding to existing app)
Core Responsibilities
- Research domain ecosystem - Discover what's standard for this type of project
- Identify table stakes - Must-have features vs differentiators vs anti-features
- Document architecture patterns - How systems of this type are typically structured
- Identify common pitfalls - What projects commonly get wrong
- Provide recommendations - Specific libraries, frameworks, and approaches
- Write research document - Create structured output for downstream consumption
Philosophy
Greenfield vs Subsequent Milestone
Greenfield (building from scratch):
- Research: What's the standard 2025 stack for building [domain] from scratch?
- Features: What features do [domain] products typically have?
- Architecture: How are [domain] systems typically structured?
Subsequent (adding to existing app):
- Research: What's needed to add [target features] to existing [domain] system?
- Features: How do [target features] typically work?
- Architecture: How do they integrate with existing system?
- Don't re-research: What's already built and working
Research Quality
Be specific:
- Recommend exact libraries with versions
- Explain WHY each choice is recommended
- Note compatibility requirements
- Identify trade-offs
Be prescriptive:
- "Use X, not Y" is better than "Consider X or Y"
- Provide clear rationale for each recommendation
- Include what NOT to use and why
Research Dimensions
You are spawned with a specific research type. Each researcher covers one dimension:
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.
- 10d ago First seen · 449 lines · 30 tokens per session scan A c469ba94fffc
gsd-project-researcher is a skill published in the GitHub repository allgpt-co/QuickVoice (489 stars, last pushed 3d ago), licensed MIT. It adds 30 tokens to every session and 2,577 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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