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/eph5xx/tweakideaWrote 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/eph5xx/tweakidea/ti-researcher)<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>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 | $0.00036 | $0.01388 |
| Opus 5 | $0.00018 | $0.00694 |
| Sonnet 5 | $0.00007 | $0.00278 |
| Haiku 4.5 | $0.00004 | $0.00139 |
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.
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:
- The founder's idea text describing a startup problem or solution
- An absolute
RUN_DIRpath — 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.
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.
- 7d ago First seen · 116 lines · 36 tokens per session scan A ede2527b1526
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.
Other agents, from other repositories
mint
Builds financial models, P&L reports, runway calculations, unit economics (LTV/CAC/payback), cap tables, and board packages stage-matched to ARR. Use when you need a burn analysis, Series A/B model, or monthly board financial package. Trigger with "calculate our runway", "build the financial model".
frame
Writes board resolutions, equity plan docs, and shareholder agreements with stage-appropriate legal rigor framed as risk/probability/fix/cost-of-inaction. Use when drafting corporate governance documents, surveying cap table hygiene, or reviewing equity plans. Trigger with "draft board resolution", "audit corporate…
reddit-performance-analyzer
Read posts-history.md, classify each post into conversational/soft-promo/promotional, compute per-category engagement stats, and write post-categories.md. Invoked by /reddit-setup, /reddit-add-post, and the start of /reddit-daily whenever new history exists.
reddit-subreddit-researcher
Research one specific subreddit for trends, audience pain points, viral patterns, and post format conventions over the last week. Reads pre-fetched JSON from a cache directory; never makes network calls. Dispatched in parallel (one per subreddit) by /reddit-daily.
reddit-style-analyzer
Analyze a corpus of the user's past Reddit posts and produce writing-style.md. Dispatched by /reddit-setup after pulling posts via the JSON API, and re-runnable standalone if the user wants to refresh the style file.
technical-analyst
Technical SEO specialist for Phase 2 (Technical SEO), Phase 10 (Speed/CWV), and Phase 19 (Accessibility). Use proactively during full audit Waves 2 and 5.