Econ Behavioral

What it does

When your agent uses it

• The user needs to understand why people make irrational economic decisions
• Design choice architectures
• Apply nudges to influence behavior — even if they say why do customers make bad choices
• How do we encourage people to save more

Example prompts

• “why do customers make bad choices”
• “how do we encourage people to save more”
• “design a better default option”
• “/econ-behavioral”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

1. 1Identify the decision context: What choice is the user/customer making?
2. 2Map relevant biases: Which systematic biases are likely at play?
3. 3Evaluate current choice architecture: How is the decision currently presented?
4. 4Design interventions: Apply nudges using EAST framework
5. 5Test: A/B test the intervention against the current design

What it can do on your machine

Read from SKILL.md and the folder at commit 4e7f4f8. It shows what the files ask for, not the result of running them.

• Tool permissions

  Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

  From allowed-tools in the SKILL.md frontmatter.

• Runs code

  No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).

  From the folder's file list and the shell code blocks in SKILL.md.

• Network

  No URLs in SKILL.md.

  From URLs in SKILL.md, links to its own repository left out.

• Credentials

  Names no API keys, tokens, secrets or passwords.

  From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Econ Behavioral loads about 1.8k tokens when it runs, and up to ~7.6k if it reads all its reference files. Until then it costs about 117 tokens; SKILL.md has 656 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~117

When it runs · the whole SKILL.md, loaded when a task matches

~1.8k

With references · SKILL.md plus every file in references/, read only if the agent opens them

~7.6k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from asgard-ai-platform/skills at commit 4e7f4f8, republished under its MIT licence (© asgard-ai-platform). 656 words, ~1,759 tokens.

name

econ-behavioral

description

Apply behavioral economics concepts including bounded rationality, prospect theory, mental accounting, and nudge theory to analyze decision-making biases. Use this skill when the user needs to understand why people make irrational economic decisions, design choice architectures, or apply nudges to influence behavior — even if they say 'why do customers make bad choices', 'how do we encourage people to save more', or 'design a better default option'.

metadata.category

WP-17 經濟學院

metadata.tags

economics, behavioral-economics, decision-making

IRON LAW: Biases Are Systematic, Not Random

Behavioral biases are PREDICTABLE patterns, not noise. Loss aversion
doesn't sometimes make people risk-seeking and sometimes not — it
consistently makes people overweight losses relative to equivalent gains
(roughly 2:1 ratio). Use specific bias names and their documented effects,
not vague "people are irrational."

# Behavioral Analysis: {Decision Context}

## Decision Context
- Decision-maker: {who}
- Choice: {what they're deciding}
- Current behavior: {what they typically do}
- Desired behavior: {what we want them to do}

## Biases Identified
| Bias | How It Manifests | Impact |
|------|-----------------|--------|
| {bias} | {specific manifestation} | H/M/L |

## Current Choice Architecture
{How the decision is currently structured and why it triggers biases}

## Proposed Nudges
| Nudge | EAST Principle | Expected Effect |
|-------|---------------|----------------|
| {intervention} | Easy/Attractive/Social/Timely | {predicted change} |

## Testing Plan
- Control: {current design}
- Treatment: {nudged design}
- Metric: {conversion rate / opt-in rate / etc.}
- Sample size: {N}

© asgard-ai-platform, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 3 other files (references) in econ-behavioral of asgard-ai-platform/skills.

• SKILL.md
• examples/sample_scenario.md
• references/ethics-of-nudging.md
• references/prospect-theory.md

Open the folder on GitHubat commit 4e7f4f8