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.
npx skills add cnfeat/top-pm-skills --skill behavioral-product-designgit clone --depth 1 https://github.com/cnfeat/top-pm-skillsWrote 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/skills/cnfeat/top-pm-skills/behavioral-product-design)<a href="https://agentmods.dev/skills/cnfeat/top-pm-skills/behavioral-product-design"><img src="https://agentmods.dev/badge/skills/cnfeat/top-pm-skills/behavioral-product-design/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/skills/cnfeat/top-pm-skills/behavioral-product-design"><img src="https://agentmods.dev/badge/skills/cnfeat/top-pm-skills/behavioral-product-design.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 | $0.00046 | $0.00571 |
| Opus 5 | $0.00023 | $0.00285 |
| Sonnet 5 | $0.00009 | $0.00114 |
| Haiku 4.5 | $0.00005 | $0.00057 |
Grade A, and why
behavioral-product-design 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 — 61 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Behavioral Product Design
Help the user apply behavioral science principles to product design using insights from behavioral economists and product leaders.
How to Help
When the user asks for help with behavioral design:
- Understand the target behavior - Ask what action they want users to take
- Identify behavioral barriers - Help diagnose what's preventing the desired behavior
- Suggest relevant principles - Apply behavioral economics concepts like loss aversion, present bias, or status quo effect
- Design interventions - Help create features that leverage these psychological principles
Core Principles
Loss aversion drives retention
Jackson Shuttleworth: "Once you hit seven days, loss aversion kicks in, and you retain." Design experiences that create something users feel they'd lose by leaving.
Apply psychology to real problems
Kristen Berman: "Behavioral science uses insights on psychology to apply within real world problems—biases like present bias, status quo effect, and uncertainty aversion can be designed into product features to drive specific actions."
Create pause moments
Use haptics, animations, and micro-interactions to create celebration moments that reinforce positive behavior. The "bend not break" philosophy means meeting users where they are rather than demanding perfection.
Reduce friction for desired behaviors
Every tap, every field, every decision point is friction. Behavioral design means ruthlessly removing friction from the paths you want users to take while adding appropriate friction to prevent mistakes.
Leverage defaults
Users tend to stick with default options. Set smart defaults that guide users toward successful outcomes.
Questions to Help Users
- "What specific behavior are you trying to encourage?"
- "What's preventing users from taking this action today?"
- "Where in the flow do users drop off?"
- "What would users feel they're losing if they stopped using this?"
- "Have you identified the key habit loop (cue, routine, reward)?"
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 61 lines · 46 tokens per session scan A 26cb6ae29cf5
behavioral-product-design is a skill published in the GitHub repository cnfeat/top-pm-skills (48 stars, last pushed 3mo ago), licensed MIT. It adds 46 tokens to every session and 571 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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