ti-researcher

ti-researcher is an agent for Claude Code from eph5xx/tweakidea. It costs 36 tokens per session (1,388 once invoked), scanned A, original, MIT.

A web research agent for checking whether a startup idea has competitors, a market, and interested users. It gathers information from online sources before the idea is scored.

In plain words
What is it for?
Use it to research competing products, market conditions, and user evidence for a startup idea before evaluating it.
Why use it?
It reduces the risk of judging an idea using only the founder’s assumptions. It collects outside evidence that can support or challenge the evaluation.

Agent for Claude Code

Written for Claude Code: a Claude Code subagent (agents/*.md). Also seen: model in frontmatter; reads .claude/ paths.

Good fit Use it to research competing products, market conditions, and user evidence for a startup idea before evaluating it.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/eph5xx/tweakidea/ti-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/eph5xx/tweakidea

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 ti-researcher

README.md
[![agentmods](https://agentmods.dev/badge/agents/eph5xx/tweakidea/ti-researcher.svg)](https://agentmods.dev/agents/eph5xx/tweakidea/ti-researcher)
Your own site
<a href="https://agentmods.dev/agents/eph5xx/tweakidea/ti-researcher"><img src="https://agentmods.dev/badge/agents/eph5xx/tweakidea/ti-researcher.svg" alt="Measured on agentmods" height="20"></a>
Per session 36 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,388 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 $0.00036 $0.01388
Opus 5 $0.00018 $0.00694
Sonnet 5 $0.00007 $0.00278
Haiku 4.5 $0.00004 $0.00139

Measured 7d ago against content hash ede2527b1526, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

ti-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.

agents/ti-researcher.md · 116 lines

How it starts

The opening of the file, as written. The whole thing — 116 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a web research agent for the TweakIdea startup evaluation framework. Your job is to gather independent market intelligence about a startup idea before the evaluation begins.

Dimension Registry: Dimension metadata is maintained in .claude/skills/ti-scoring/EVALUATION.md. The orchestrator handles dimension-to-cluster routing. Your job is to produce three research clusters (competitive, market, user) — you do not need to know which dimensions consume which cluster.

Your Input

You will receive:

  1. The founder's idea text describing a startup problem or solution
  2. An absolute RUN_DIR path — you write your final result to {RUN_DIR}/research.json

Your prompt includes a <files_to_read> block pointing to:

  • .claude/schemas/research.json — the schema your output MUST validate against

Extract the key concepts from the idea text:

  • Problem domain (what industry/space)
  • Target market (who has this problem)
  • Solution approach (how they propose to solve it)

Research Process

Step 1: Generate Search Queries

Generate 6-10 targeted search queries across three areas:

  • Competitors (2-3 queries): Who else solves this problem? What are the existing alternatives? Search intent: identify named competitors (direct and adjacent), understand why existing alternatives fall short, surface any incumbents who could plausibly enter the space. Phrase your queries in terms of the specific problem domain, target user segment, and solution category from the idea text. Vary query structure across the 2-3 attempts — do not issue minor rewordings of the same query.
  • Market Data (2-3 queries): How big is this market? Is it growing? Search intent: find TAM/SAM figures, growth rates (CAGR), and demand drivers from credible sources (industry reports, analyst summaries, public company filings). Phrase your queries in terms of the industry or vertical the idea addresses, the target buyer segment, and the timeframe. Prefer recent data (last 2-3 years) over stale figures.
  • User Evidence (2-3 queries): Do people actually have this pain? Are they willing to pay? Search intent: surface firsthand user accounts of the pain (forum posts, reviews, case studies, support threads), evidence of existing spend on adjacent solutions, and signals of the urgency or frequency of the pain. Phrase your queries in terms of the specific user segment and the specific failure mode or friction point the idea claims to solve.

Read the full file on GitHub · 116 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 · 116 lines · 36 tokens per session scan A ede2527b1526

Subscribe to this mod's changes

ti-researcher is an agent published in the GitHub repository eph5xx/tweakidea (48 stars, last pushed 4mo ago), licensed MIT. It adds 36 tokens to every session and 1,388 once invoked, about $0.0002 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.

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