foundations-behavioral-economics SKILL.md skillA
foundations-behavioral-economics from vasilyu1983/ai-agents-public is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add vasilyu1983/ai-agents-public/foundations-behavioral-economics@v1.4Pins v1.4 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- vasilyu1983/ai-agents-public
- Path
skills/universal/foundations-behavioral-economics/SKILL.md- Versions recorded
- 2
- Latest version
- v1.4, committed Oct 12, 2026
- First version recorded
- Oct 5, 2026
- Size
- 35,320 bytes
- Repository stars
- 101
- License
- MIT
16 evidence-graded behavioral-economics primitives. Use when asking will this nudge work, is a pricing decoy or dark pattern lawful, or what effect size to expect.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Behavioral Economics Foundations Read each primitive's misuse boundary before applying it. The disclosure test is an ethical screen, not a legal definition: a technique that embarrasses the team on disclosure needs redesign even if it is lawful. ## When to Apply **Apply behavioral-economics when:** - User-facing decision surface — pricing page, onboarding default, churn flow, retention nudge - Habit-formation or cue-preservation in redesigns - Loss-aversion / framing matters and downside is concrete - Choice architecture — defaults, decoys, ordering, anchoring - Conversion or activation experiment design where biases are exploitable ethically **Skip and use simpler alternatives when:** - Decision is between two AI systems or backend strategies (no human in the loop) — use foundations-decision-theory - Causal "did the nudge work?" question — use foundations-causal-inference to measure - Strategic multi-actor pricing — use foundations-game-theory (Bertrand, Vickrey) - The proposed pattern requires deceiving the user about real value — fails the ethical gate; redesign, don't nudge - Audience or market context is unknown — biases are not universal; lift bands won't generalise …
Read the whole file at its exact version.
How to install
mdr add vasilyu1983/ai-agents-public/foundations-behavioral-economics@sha256:9f94c303da71fd97The line at the top of this page pins the label v1.4, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_gycn4s5b75p2lrfx)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 2 versions of this file, between Oct 5, 2026 and Oct 12, 2026, about one every 7 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.4 latest | 2026-10-12 | 34b57f4 | 35,320 B | A | view · diff |
| v1.4 | 2026-10-05 | 5db538c | 35,176 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (35320 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
vasilyu1983/ai-agents-public · 101 stars · license MIT · pushed 2026-10-16 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_gycn4s5b75p2lrfx GET https://markdownregistry.com/api/v1/resolve?ref=vasilyu1983/ai-agents-public/foundations-behavioral-economics GET https://markdownregistry.com/api/v1/blob/9f94c303da71fd9769d4d2a8d98e1f58aa1f7a90593ee4ba8b2ad10181219bf5
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.