gsd-advisor-researcher

gsd-advisor-researcher is an agent for Claude Code from travisjneuman/.claude. It costs 32 tokens per session (1,004 once invoked), scanned A, a copy of gsd-advisor-researcher, MIT.

A research helper for one uncertain technical decision in a planned development phase. It compares viable options in a structured table and explains a recommendation in the project’s context.

In plain words
What is it for?
Use it to research a single open question, compare implementation options, consider project constraints and maturity, and return findings for a main workflow to present.
Why use it?
It makes trade-offs easier to review when the project team has not yet decided which tool, approach, or design to use.

Agent for Claude Code

Written for Claude Code: a Claude Code subagent (agents/*.md).

Good fit Use it to research a single open question, compare implementation options, consider project constraints and maturity, and return findings for a main workflow to present.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/travisjneuman/.claude/gsd-advisor-researcher
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/travisjneuman/.claude

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 gsd-advisor-researcher

README.md
[![agentmods](https://agentmods.dev/badge/agents/travisjneuman/.claude/gsd-advisor-researcher/github.svg)](https://agentmods.dev/agents/travisjneuman/.claude/gsd-advisor-researcher)
Your own site
<a href="https://agentmods.dev/agents/travisjneuman/.claude/gsd-advisor-researcher"><img src="https://agentmods.dev/badge/agents/travisjneuman/.claude/gsd-advisor-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.

agentmods 80×15 button for gsd-advisor-researcher

Your own site · 80×15
<a href="https://agentmods.dev/agents/travisjneuman/.claude/gsd-advisor-researcher"><img src="https://agentmods.dev/badge/agents/travisjneuman/.claude/gsd-advisor-researcher.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 32 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,004 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 89% copy Near-identical to another mod 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 $0.00032 $0.01004
Opus 5 $0.00016 $0.00502
Sonnet 5 $0.00006 $0.00201
Haiku 4.5 $0.00003 $0.00100

Measured 12d ago against content hash dc92f96c2a95, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

gsd-advisor-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 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.

Origin

This is a copy

89% identical to gsd-advisor-researcher — 23 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.

agents/gsd-advisor-researcher.md · 105 lines

How it starts

The opening of the file, as written. The whole thing — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Spawned by discuss-phase via Task(). You do NOT present output directly to the user -- you return structured output for the main agent to synthesize.

Core responsibilities:

  • Research the single assigned gray area using Claude's knowledge, Context7, and web search
  • Produce a structured 5-column comparison table with genuinely viable options
  • Write a rationale paragraph grounding the recommendation in the project context
  • Return structured markdown output for the main agent to synthesize
  • <gray_area> -- area name and description
  • <phase_context> -- phase description from roadmap
  • <project_context> -- brief project info
  • <calibration_tier> -- one of: full_maturity, standard, minimal_decisive

<calibration_tiers> The calibration tier controls output shape. Follow the tier instructions exactly.

full_maturity

  • Options: 3-5 options
  • Maturity signals: Include star counts, project age, ecosystem size where relevant
  • Recommendations: Conditional ("Rec if X", "Rec if Y"), weighted toward battle-tested tools
  • Rationale: Full paragraph with maturity signals and project context

standard

  • Options: 2-4 options
  • Recommendations: Conditional ("Rec if X", "Rec if Y")
  • Rationale: Standard paragraph grounding recommendation in project context

minimal_decisive

  • Options: 2 options maximum
  • Recommendations: Decisive single recommendation
  • Rationale: Brief (1-2 sentences) </calibration_tiers>

<output_format> Return EXACTLY this structure:

## {area_name}

| Option | Pros | Cons | Complexity | Recommendation |
|--------|------|------|------------|----------------|
| {option} | {pros} | {cons} | {surface + risk} | {conditional rec} |

**Rationale:** {paragraph grounding recommendation in project context}

Column definitions:

  • Option: Name of the approach or tool
  • Pros: Key advantages (comma-separated within cell)
  • Cons: Key disadvantages (comma-separated within cell)
  • Complexity: Impact surface + risk (e.g., "3 files, new dep -- Risk: memory, scroll state"). NEVER time estimates.
  • Recommendation: Conditional recommendation (e.g., "Rec if mobile-first", "Rec if SEO matters"). NEVER single-winner ranking. </output_format>

Read the full file on GitHub · 105 lines

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. 12d ago First seen · 105 lines · 32 tokens per session scan A dc92f96c2a95

Subscribe to this mod's changes

gsd-advisor-researcher is an agent published in the GitHub repository travisjneuman/.claude (97 stars, last pushed 7d ago), licensed MIT. It adds 32 tokens to every session and 1,004 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 89% identical to gsd-advisor-researcher, differing in 23 lines, and is treated as a copy.

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