What is user-research-user-modeling?

A user-modeling pipeline that turns user feedback and behavior analysis into descriptions of typical users and their experiences. It can produce personas, empathy maps, and journey maps.

Use it to generate personas, empathy maps, journey maps, user profiles, typical-user descriptions, and user-role models from user voice and behavior analysis.

It organizes research findings into clear models, so teams can reason about user roles, needs, and experiences without assembling each model manually.

user-research-user-modeling — Skill by LuckyOneTwoThree/pm-skill

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.

Any agent

npx skills add LuckyOneTwoThree/pm-skill --skill user-research-user-modeling

Clone the repo

git clone --depth 1 https://github.com/LuckyOneTwoThree/pm-skill

Made for: Claude Code, Codex.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/luckyonetwothree/pm-skill/user-research-user-modeling/github.svg)](https://agentmods.dev/skills/luckyonetwothree/pm-skill/user-research-user-modeling)

Your own site

<a href="https://agentmods.dev/skills/luckyonetwothree/pm-skill/user-research-user-modeling"><img src="https://agentmods.dev/badge/skills/luckyonetwothree/pm-skill/user-research-user-modeling/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/luckyonetwothree/pm-skill/user-research-user-modeling"><img src="https://agentmods.dev/badge/skills/luckyonetwothree/pm-skill/user-research-user-modeling.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 71 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 4,778 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 unknown 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.

Model	Per session	Once invoked
Fable 5.1	$0.00071	$0.04778
Opus 5.5	$0.00028	$0.01911
Sonnet 5.5	$0.00014	$0.00956
Haiku 4.5	$0.00007	$0.00478

Measured 2mo ago against content hash f8d2b11bc2f2, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

user-research-user-modeling 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 2mo 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.

pm-01-discovery/skills/user-research-user-modeling/SKILL.md · 441 lines

The source is not reproduced here

No licence file

Read it on GitHub

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.

2mo ago First seen · 441 lines · 71 tokens per session scan A f8d2b11bc2f2

Subscribe to this mod's changes

user-research-user-modeling is a skill published in the GitHub repository LuckyOneTwoThree/pm-skill (7 stars, last pushed 5mo ago), with no licence file. It adds 71 tokens to every session and 4,778 once invoked, about $0.0003 per session on Opus 5.5. 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.

Design and UX LLM Research agent-skills ai-agent product-management product-methodology trae

user-research-user-modeling next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
user-research-user-modelingLuckyOneTwoThree/pm-skill	Skill	7	5mo ago	none	A	71	Claude Code, Codex
anatomyNousResearch/hermes-agent	Skill	261k	yesterday	MIT	A	15	Claude Code, Codex
ip-as-logoNousResearch/hermes-agent	Skill	261k	yesterday	MIT	A	16	Claude Code, Codex
html-artifactslangchain-ai/open-swe	Skill	11k	yesterday	MIT	A	52	Claude Code, Codex
show-mehumanlayer/humanlayer	Skill	13k	yesterday	Apache-2.0	A	25	Claude Code
infographic-creatorantvis/Infographic	Skill	7.1k	18d ago	MIT	A	25	Claude Code
design-handoff-briefmohitagw15856/pm-claude-skills	Skill	1.5k	yesterday	MIT	A	83	Claude Code