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.
git clone --depth 1 https://github.com/ai-is-gonna/get-tasks-doneWrote 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/ai-is-gonna/get-tasks-done/gtd-advisor-researcher)<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.
<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>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 | $0.00032 | $0.01233 |
| Opus 5.5 | $0.00013 | $0.00493 |
| Sonnet 5.5 | $0.00006 | $0.00247 |
| Haiku 4.5 | $0.00003 | $0.00123 |
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 1mo 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
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.
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:
-
If Context7 MCP tools (
mcp__context7__*) are available in your environment, use them:- Resolve library ID:
mcp__context7__resolve-library-idwithlibraryName - Fetch docs:
mcp__context7__get-library-docswithcontext7CompatibleLibraryIdandtopic
- Resolve library ID:
-
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
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.
- 1mo ago First seen · 128 lines · 32 tokens per session scan A c8544cfe44f6
gtd-advisor-researcher is an agent published in the GitHub repository ai-is-gonna/get-tasks-done (10 stars, last pushed 4mo ago), licensed MIT. It adds 32 tokens to every session and 1,233 once invoked, about $0.0001 per session on Opus 5.5. 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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