agentmods.dev

a1-consumer-psy

a1-consumer-psy is a skill for Claude Code, Codex from ztemerbekov/a1-marketing-skills. It costs 32 tokens per session (455 once invoked), scanned A, original, MIT.

A research-based reviewer for claims about why consumers behave as they do. It uses peer-reviewed studies, which are research papers checked by other experts, and reports evidence limits.

In plain words
What is it for?
Reviewing consumer-behaviour hypotheses, analyzing marketing test results, identifying relevant behaviour patterns, and stating what the available research can and cannot support.
Why use it?
It helps separate supported findings from attractive but weak explanations and identifies flaws in consumer-psychology hypotheses or test interpretations.

Skill for Claude CodeCodex

Written for Claude Code and Codex: disable-model-invocation in frontmatter, but also agents/openai.yaml present.

Part of the 1-marketing-strategies plugin — 4 skills shipped together

not rated 8repo 13d ago A scan 32 tokens original MIT

Good fit Reviewing consumer-behaviour hypotheses, analyzing marketing test results, identifying relevant behaviour patterns, and stating what the available research can and cannot support.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ztemerbekov/a1-marketing-skills/a1-consumer-psy
View source ↗ ztemerbekov/a1-marketing-skills t.me
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 ztemerbekov/a1-marketing-skills --skill a1-consumer-psy
Clone the repo
git clone --depth 1 https://github.com/ztemerbekov/a1-marketing-skills

Made for: Claude Code, Codex.

Or install 1-marketing-strategies, the plugin that ships this one along with the rest of its 4 skills.

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.

agentmods badge for a1-consumer-psy

README.md
[![agentmods](https://agentmods.dev/badge/skills/ztemerbekov/a1-marketing-skills/a1-consumer-psy/github.svg)](https://agentmods.dev/skills/ztemerbekov/a1-marketing-skills/a1-consumer-psy)
Your own site
<a href="https://agentmods.dev/skills/ztemerbekov/a1-marketing-skills/a1-consumer-psy"><img src="https://agentmods.dev/badge/skills/ztemerbekov/a1-marketing-skills/a1-consumer-psy/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.

agentmods 80×15 button for a1-consumer-psy

Your own site · 80×15
<a href="https://agentmods.dev/skills/ztemerbekov/a1-marketing-skills/a1-consumer-psy"><img src="https://agentmods.dev/badge/skills/ztemerbekov/a1-marketing-skills/a1-consumer-psy.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 32 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 455 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 original 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00032 $0.00455
Opus 5 $0.00016 $0.00228
Sonnet 5 $0.00006 $0.00091
Haiku 4.5 $0.00003 $0.00046

Measured 12d ago against content hash c7ee15615eca, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

a1-consumer-psy 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.

skills/a1-consumer-psy/SKILL.md · 35 lines

How it starts

The opening of the file, as written. The whole thing — 35 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Consumer Psychology

Purpose

Audit consumer psychology hypotheses before launch or explain marketing test outcomes using peer-reviewed research. Identify behavior patterns, flaws, and evidence limits—not a confident story disguised as science.

Supported families are listed in the local model references. Treat their stated boundaries as part of the diagnosis, not as optional caveats.

Supplied Text

Preserve supplied copy, UI labels, quotations, product names, and explicit terms.

Public Terminology

Keep catalog IDs, catalog roles, evidence grades, and ethics flags inside the diagnostic process. Use established research terms in the public explanation and introduce unfamiliar terms in plain language. Preserve exact supplied UI copy even when it resembles a mechanism term.

Workflow

  1. Read the model index for every request and the diagnostic spine for every diagnosis. Follow the index pointer for a named covered model; for an unnamed diagnosis, use the index to choose the smallest relevant dossier set.
  2. Apply the catalog role and boundary owned by the index and selected dossier. Read the selected model's co-located evidence record.
  3. Before proposing an intervention, read ethics.
  4. Produce every diagnosis through the diagnostic spine.

For a general model-explanation request, use any one canonical covered name or alias already present in the request and explain it directly from its dossier. Ask which model only when that request names none or several.

Only after a final user-facing result that fulfills this skill's declared user job, append a short footer inviting questions, ideas, or problems with the skill through A1 Marketing Skills. Omit it from boundary responses, refusals, clarification or missing-input prompts, interim updates, unsuccessful results, and any response that does not fulfill the job. A user request for only the final artifact or to prohibit extra response material suppresses it.

Read the full file on GitHub · 35 lines

Files

What ships with it

55 files 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.

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.

  1. 12d ago First seen · 35 lines · 32 tokens per session scan A c7ee15615eca

Subscribe to this mod's changes

a1-consumer-psy is a skill published in the GitHub repository ztemerbekov/a1-marketing-skills (8 stars, last pushed 13d ago), licensed MIT. It adds 32 tokens to every session and 455 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 2026-08-31.

Marketing and SEOResearchagent-skillsai-agentsconsumer-psychologycopy-editinggrowthhumanize
Related

Other skills, from other repositories

deai_humanize

A Chinese-language writing helper that measures signs of machine-like writing and rewrites text to sound more natural and personal.

mateaix/mateclaw · 82 tokens

humanize-automation

Human-like mouse, keyboard and scroll behavior for behavioral bot bypass.

uphiago/recon-skills · 18 tokens

analytics-strategy

Design measurement frameworks including event taxonomy, KPI hierarchy, dashboard architecture, attribution models, and analytics implementation strategy. Use this skill whenever the user wants to plan analytics, design dashboards, build event taxonomies, define KPIs, set up tracking, or audit existing measurement.…

rampstackco/claude-skills · 126 tokens

cro-optimization

Run conversion rate optimization through hypothesis-driven testing including audit, hypothesis generation, test design, statistical analysis, and rollout decisions. Use this skill whenever the user wants to optimize conversion, run A/B tests, audit a funnel, generate test hypotheses, design experiments, or analyze…

rampstackco/claude-skills · 123 tokens

research-seo-demand

A Chinese-language process for researching SEO opportunities, where SEO means improving pages so they can appear in search results. It studies user needs, keyword demand, search-result pages, and competing pages using Bing data.

tsingyuai/growth-lab · 102 tokens

create-seo-page

A Chinese-language workflow for creating and implementing search-focused pages in an existing product repository. SEO means improving a page so it can be found and understood through search engines.

tsingyuai/growth-lab · 93 tokens