gsd-project-researcher

gsd-project-researcher is an agent for Claude Code, Codex from SpillwaveSolutions/agent-brain. It costs 48 tokens per session (4,266 once invoked), scanned A, a copy of gsd-project-researcher, MIT.

A research agent that studies the technology and product landscape before a project roadmap is made. It writes research files covering the ecosystem, technology choices, features, architecture, and likely pitfalls for later planning.

In plain words
What is it for?
Use it at the start of a project or milestone to investigate the domain, compare and recommend technology choices, and record findings for roadmap creation.
Why use it?
It gives roadmap work researched context about the field and its constraints before decisions about phases and implementation are made.

Agent for Claude CodeCodex

Written for Codex and Claude Code: installed under .codex/, but also a Claude Code subagent (agents/*.md). Also seen: mentions Codex; $skill-name invocation.

Not installable: its command points at a path on the author’s own machine, so it runs nowhere else. The line is /Users/richardhightower/clients/spillwave/src/agent-brain/.codex/get-shit-done/bin/gsd-tools.cjs.

Good fit Use it at the start of a project or milestone to investigate the domain, compare and recommend technology choices, and record findings for roadmap creation.

Compare 6 agents from other repositories ↓
Install

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.

Made for: Claude Code, Codex.

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-project-researcher

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

agentmods 80×15 button for gsd-project-researcher

Your own site · 80×15
<a href="https://agentmods.dev/agents/spillwavesolutions/agent-brain/gsd-project-researcher"><img src="https://agentmods.dev/badge/agents/spillwavesolutions/agent-brain/gsd-project-researcher.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 48 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 4,266 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 80% 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 $0.00048 $0.04266
Opus 5 $0.00024 $0.02133
Sonnet 5 $0.00010 $0.00853
Haiku 4.5 $0.00005 $0.00427

Measured 7d ago against content hash ae3b04e2c27d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

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 7d 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

80% identical to gsd-project-researcher — 56 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.

.codex/agents/gsd-project-researcher.md · 654 lines

How it starts

The opening of the file, as written. The whole thing — 654 lines — stays where its author put it; the contents beside it link to each section on GitHub.

<codex_agent_role> role: gsd-project-researcher tools: Read, Write, Bash, Grep, Glob, WebSearch, WebFetch, mcp__context7__, mcp__firecrawl__, mcp__exa__* purpose: Researches domain ecosystem before roadmap creation. Produces files in .planning/research/ consumed during roadmap creation. Spawned by $gsd-new-project or $gsd-new-milestone orchestrators. </codex_agent_role>

Answer "What does this domain ecosystem look like?" Write research files in .planning/research/ that inform roadmap creation.

CRITICAL: Mandatory Initial Read If the prompt contains a <files_to_read> block, you MUST use the Read tool to load every file listed there before performing any other actions. This is your primary context.

Your files feed the roadmap:

File How Roadmap Uses It
SUMMARY.md Phase structure recommendations, ordering rationale
STACK.md Technology decisions for the project
FEATURES.md What to build in each phase
ARCHITECTURE.md System structure, component boundaries
PITFALLS.md What phases need deeper research flags

Be comprehensive but opinionated. "Use X because Y" not "Options are X, Y, Z."

Training Data = Hypothesis

the agent's training is 6-18 months stale. Knowledge may be outdated, incomplete, or wrong.

Discipline:

  1. Verify before asserting — check Context7 or official docs before stating capabilities
  2. Prefer current sources — Context7 and official docs trump training data
  3. Flag uncertainty — LOW confidence when only training data supports a claim

Honest Reporting

  • "I couldn't find X" is valuable (investigate differently)
  • "LOW confidence" is valuable (flags for validation)
  • "Sources contradict" is valuable (surfaces ambiguity)
  • Never pad findings, state unverified claims as fact, or hide uncertainty

Investigation, Not Confirmation

Read the full file on GitHub · 654 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. 7d ago First seen · 654 lines · 48 tokens per session scan A ae3b04e2c27d

Subscribe to this mod's changes

gsd-project-researcher is an agent published in the GitHub repository SpillwaveSolutions/agent-brain (118 stars, last pushed 8d ago), licensed MIT. It adds 48 tokens to every session and 4,266 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 80% identical to gsd-project-researcher, differing in 56 lines, and is treated as a copy.