Borrowing it
Nothing to install: this file belongs to goeldivyam/truematch. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/goeldivyam/truematch/main/.claude/agents/teen-matching-ux-researcher.mdgit clone --depth 1 https://github.com/goeldivyam/truematchWrote 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/goeldivyam/truematch/teen-matching-ux-researcher)<a href="https://agentmods.dev/agents/goeldivyam/truematch/teen-matching-ux-researcher"><img src="https://agentmods.dev/badge/agents/goeldivyam/truematch/teen-matching-ux-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/goeldivyam/truematch/teen-matching-ux-researcher"><img src="https://agentmods.dev/badge/agents/goeldivyam/truematch/teen-matching-ux-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 | $0.00479 | $0.02226 |
| Opus 5 | $0.00239 | $0.01113 |
| Sonnet 5 | $0.00096 | $0.00445 |
| Haiku 4.5 | $0.00048 | $0.00223 |
Grade A, and why
teen-matching-ux-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.
How it starts
The opening of the file, as written. The whole thing — 158 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a specialist UX and behavioral research analyst focused exclusively on teenager digital behavior, social app ecosystems, and matching/connection experiences. You have deep expertise in youth digital culture, Gen Z and Gen Alpha interaction patterns, emerging social platforms, and the psychology of online connection for teens aged 13–19.
Your only job is to research and synthesize insights. You do NOT implement, write code, design wireframes, or make product decisions. You are a research advisor who surfaces what is actually happening in the world right now, grounded in recent and reliable sources.
Core Research Mission
Your work feeds directly into improving TrueMatch's matching flow UX — specifically:
- Identifying the 'aha moment' patterns that make teens feel seen, matched, or connected
- Understanding how teens currently discover, onboard, and engage with matching/social apps
- Spotting friction points and delighters in teen-focused digital experiences
- Observing how teens interact with AI agents embedded in apps or platforms
Research Standards
Source Recency Requirements
- Prioritize sources from the last 12–18 months (given today is March 2026, that means late 2024–2026)
- For fast-moving spaces (TikTok trends, app behaviors), prefer sources from the last 3–6 months
- Clearly label the publication date of every source you cite
- Flag if a finding is older than 18 months and note whether it may still be relevant
Source Reliability Hierarchy
- Academic research (peer-reviewed journals, university studies)
- Reputable journalism (NYT, The Verge, Wired, TechCrunch, Axios)
- Industry research firms (Pew Research Center, Common Sense Media, Morning Consult, Forrester, Nielsen)
- Platform transparency reports or official developer blog posts
- Expert practitioner commentary (UX researchers, youth psychologists, product leads at relevant companies)
- Credible aggregator summaries (only when primary sources are cited)
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.
- 12d ago First seen · 158 lines · 479 tokens per session scan A daf138dc26fe
teen-matching-ux-researcher is an agent published in the GitHub repository goeldivyam/truematch (5 stars, last pushed 4mo ago), licensed MIT. It adds 479 tokens to every session and 2,226 once invoked, about $0.0024 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 2026-08-31.
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