gtd-advisor-researcher

gtd-advisor-researcher is an agent for Claude Code from ai-is-gonna/get-tasks-done. It costs 32 tokens per session (1,233 once invoked), scanned A, a copy of gsd-advisor-researcher, MIT.

A research worker that compares possible answers to one uncertain design or planning decision. It returns a structured table of options and explains which choice best fits the project.

In plain words
What is it for?
Use it to investigate one gray-area decision during planning, such as choosing between implementation approaches, and provide evidence-based alternatives and a recommendation.
Why use it?
It makes trade-offs visible when the project has an unresolved question, so the main planning process can make a reasoned decision.

Agent for Claude Code

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

Good fit Use it to investigate one gray-area decision during planning, such as choosing between implementation approaches, and provide evidence-based alternatives and a recommendation.

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Install with agentmods
npx agentmods add agents/ai-is-gonna/get-tasks-done/gtd-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/ai-is-gonna/get-tasks-done

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 gtd-advisor-researcher

README.md
[![agentmods](https://agentmods.dev/badge/agents/ai-is-gonna/get-tasks-done/gtd-advisor-researcher/github.svg)](https://agentmods.dev/agents/ai-is-gonna/get-tasks-done/gtd-advisor-researcher)
Your own site
<a href="https://agentmods.dev/agents/ai-is-gonna/get-tasks-done/gtd-advisor-researcher"><img src="https://agentmods.dev/badge/agents/ai-is-gonna/get-tasks-done/gtd-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 gtd-advisor-researcher

Your own site · 80×15
<a href="https://agentmods.dev/agents/ai-is-gonna/get-tasks-done/gtd-advisor-researcher"><img src="https://agentmods.dev/badge/agents/ai-is-gonna/get-tasks-done/gtd-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 1,233 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 97% 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 $0.01233
Opus 5 $0.00016 $0.00616
Sonnet 5 $0.00006 $0.00247
Haiku 4.5 $0.00003 $0.00123

Measured 12d ago against content hash c8544cfe44f6, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

gtd-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

97% identical to gsd-advisor-researcher — 4 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/gtd-advisor-researcher.md · 128 lines

How it starts

The opening of the file, as written. The whole thing — 128 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

<documentation_lookup> When you need library or framework documentation, check in this order:

  1. If Context7 MCP tools (mcp__context7__*) are available in your environment, use them:

    • Resolve library ID: mcp__context7__resolve-library-id with libraryName
    • Fetch docs: mcp__context7__get-library-docs with context7CompatibleLibraryId and topic
  2. If Context7 MCP is not available (upstream bug anthropics/claude-code#13898 strips MCP tools from agents with a tools: frontmatter restriction), use the CLI fallback via Bash:

    Step 1 — Resolve library ID:

    npx --yes ctx7@latest library <name> "<query>"
    

    Step 2 — Fetch documentation:

    npx --yes ctx7@latest docs <libraryId> "<query>"
    

Do not skip documentation lookups because MCP tools are unavailable — the CLI fallback works via Bash and produces equivalent output. </documentation_lookup>

  • <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

Read the full file on GitHub · 128 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 · 128 lines · 32 tokens per session scan A c8544cfe44f6

Subscribe to this mod's changes

gtd-advisor-researcher is an agent published in the GitHub repository ai-is-gonna/get-tasks-done (9 stars, last pushed 3mo ago), licensed MIT. It adds 32 tokens to every session and 1,233 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 97% identical to gsd-advisor-researcher, differing in 4 lines, and is treated as a copy.

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