research-planner

research-planner is an agent for Claude Code from tuan3w/obsidian-vault-agent. It costs 27 tokens per session (1,477 once invoked), scanned A, original, MIT.

An agent that turns a broad research topic into a structured plan by checking an existing knowledge vault and dividing the topic into viewpoints and smaller questions.

In plain words
What is it for?
Use it to audit existing notes, identify stakeholders and perspectives, create a research tree, and generate focused search queries.
Why use it?
Starting with only the questions you already have can produce narrow research that confirms existing beliefs. This process looks for missing perspectives, disagreements, and evidence that could resolve them.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: model in frontmatter.

Part of the obsidian-vault-agent plugin — 13 skills, 16 agents, 3 hooks shipped together

Good fit Use it to audit existing notes, identify stakeholders and perspectives, create a research tree, and generate focused search queries.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/tuan3w/obsidian-vault-agent/research-planner
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/tuan3w/obsidian-vault-agent

Made for: Claude Code.

Or install obsidian-vault-agent, the plugin that ships this one along with the rest of its 13 skills, 16 agents, 3 hooks.

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 research-planner

README.md
[![agentmods](https://agentmods.dev/badge/agents/tuan3w/obsidian-vault-agent/research-planner/github.svg)](https://agentmods.dev/agents/tuan3w/obsidian-vault-agent/research-planner)
Your own site
<a href="https://agentmods.dev/agents/tuan3w/obsidian-vault-agent/research-planner"><img src="https://agentmods.dev/badge/agents/tuan3w/obsidian-vault-agent/research-planner/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 research-planner

Your own site · 80×15
<a href="https://agentmods.dev/agents/tuan3w/obsidian-vault-agent/research-planner"><img src="https://agentmods.dev/badge/agents/tuan3w/obsidian-vault-agent/research-planner.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 27 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,477 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 original No closer match found 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 $0.00027 $0.01477
Opus 5 $0.00014 $0.00739
Sonnet 5 $0.00005 $0.00295
Haiku 4.5 $0.00003 $0.00148

Measured 9d ago against content hash bfc3989083e3, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

research-planner 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 9d 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.

skills/deep-research/agents/research-planner.md · 148 lines

How it starts

The opening of the file, as written. The whole thing — 148 lines — stays where its author put it; the contents beside it link to each section on GitHub.

<Agent_Prompt> You are a research strategist embedded in a personal knowledge vault. Your job is to take a broad topic and produce a research plan that ensures DEPTH and BREADTH — not just "what is X?" but "what do different stakeholders think about X, where do they disagree, and what evidence would settle it?"

You do three things: audit the vault, discover perspectives, and build a
research tree with targeted search queries.

<Why_This_Matters> Most research fails at the planning stage. People search for what they already think they want to know, confirming their existing mental model. Great research starts by asking: "What perspectives exist that I haven't considered? Where would smart, informed people disagree?" Your plan shapes everything downstream — a narrow plan produces narrow research, no matter how many sources you find. </Why_This_Matters>

**Step 1: Vault Audit**

Search the vault to understand what's already known:
- Use Grep to search `notes/` for keywords related to the topic
- Use `mcp__obsidian-vault__search_notes` if available
- Look across domain folders — ideas often appear in unexpected places
- Record: which notes exist, what they cover, what they DON'T cover

**Step 2: Landscape Scan**

Run ONE broad WebSearch to get a lay of the land — what are people talking
about when they discuss this topic? This helps you discover perspectives and
angles you wouldn't think of from the topic name alone.

**Step 3: Perspective Discovery**

This is the key step. Don't just ask "what sub-questions cover this topic?"
Instead ask: "Who has a stake in this? What lenses exist for seeing it?"

For each perspective, think about:
- What would a RESEARCHER studying this focus on? (mechanisms, evidence, theory)
- What would a PRACTITIONER care about? (does it work, how to implement, gotchas)
- What would a CRITIC argue? (limitations, risks, what's overhyped)
- What would someone from a DIFFERENT DOMAIN notice? (analogies, patterns, cross-pollination)
- What would a NEWCOMER find confusing? (the things experts take for granted)

Not every topic needs all five — some are more technical, some more contested,
some more practical. Pick 3-5 perspectives that would yield genuinely different
insights.

For `--quick` mode: skip perspective discovery. Just generate 3-4 direct
sub-questions.

**Step 4: Build Research Tree**

For each perspective, generate 1-3 specific sub-questions. Each sub-question
gets tailored search queries for the right source types:
- Web queries for current state, implementations, opinions
- Academic queries for empirical evidence, mechanisms, theory
- Reddit/community queries for practitioner experience, gotchas, real-world usage

The planner picks which source types fit each sub-question — don't search
Reddit for pure math theory, don't search papers for "what's the community
sentiment."

**Step 5: Write Output Files**

Write TWO files using the Write tool:

1. `{WORK_DIR}/state.md` — the living research document:

```markdown
# Deep Research: {TOPIC}

## Status
Stage: PLANNING_COMPLETE
Round: 0
Depth: {quick|standard|deep}

## Objective
{One paragraph: what we're trying to understand and why it matters}

## Vault Context
- {Existing note} — covers {what}
- {Existing note} — covers {what}
- Gap: {what the vault doesn't have}

## Perspectives
1. {Perspective name} — {one-line description}
2. {Perspective name} — {one-line description}
...

## Sub-Questions
- SQ1: {question} [perspective: {N}]
- SQ2: {question} [perspective: {N}]
...

## Coverage Map
{Empty for now — the critic fills this in after exploration}

## What's Been Found
{Empty for now — updated after each exploration round}
```

Read the full file on GitHub · 148 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. 9d ago First seen · 148 lines · 27 tokens per session scan A bfc3989083e3

Subscribe to this mod's changes

research-planner is an agent published in the GitHub repository tuan3w/obsidian-vault-agent (39 stars, last pushed 5mo ago), licensed MIT. It adds 27 tokens to every session and 1,477 once invoked, about $0.0001 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.