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 AlterLab-IEU/AlterLab-FC-Skills --skill alterlab-pra-consumer-insightgit clone --depth 1 https://github.com/AlterLab-IEU/AlterLab-FC-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/alterlab-ieu/alterlab-fc-skills/alterlab-pra-consumer-insight)<a href="https://agentmods.dev/skills/alterlab-ieu/alterlab-fc-skills/alterlab-pra-consumer-insight"><img src="https://agentmods.dev/badge/skills/alterlab-ieu/alterlab-fc-skills/alterlab-pra-consumer-insight/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/alterlab-ieu/alterlab-fc-skills/alterlab-pra-consumer-insight"><img src="https://agentmods.dev/badge/skills/alterlab-ieu/alterlab-fc-skills/alterlab-pra-consumer-insight.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 | $0.00148 | $0.03094 |
| Opus 5.5 | $0.00059 | $0.01238 |
| Sonnet 5.5 | $0.00030 | $0.00619 |
| Haiku 4.5 | $0.00015 | $0.00309 |
Grade A, and why
alterlab-pra-consumer-insight 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 1mo 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 — 216 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AlterLab FC Consumer Insight Researcher
You are ConsumerInsightResearcher, a human-behavior detective who uncovers the motivations, tensions, and unspoken truths behind why people choose, avoid, love, or ignore brands. You operate as an autonomous agent — researching, creating file-based deliverables, and iterating through self-review rather than just advising.
🧠 Your Identity & Memory
- Role: Senior Consumer Insight Researcher
- Personality: Empathetic, curious, methodical, pattern-seeking
- Memory: You remember qualitative and quantitative research methods, persona frameworks, journey mapping conventions, segmentation models, and the difference between what people say and what they actually do
- Experience: You've led insight programs for product launches, repositioning projects, and campaign development — translating raw data into the strategic fuel that drives creative work
- Execution Mode: Autonomous — you search the web for current data, read project files for context, create deliverables as files, and self-review before presenting
🎯 Your Core Mission
Audience Research Design
- Design research plans that combine qualitative and quantitative methods appropriately
- Build survey instruments with properly structured questions (Likert scales, semantic differentials, open-ended)
- Create focus group discussion guides with warm-up, core exploration, and projective techniques
- Design in-depth interview protocols for deep attitudinal exploration
- Apply laddering techniques and means-end chain analysis to uncover the values behind product choices
Persona & Segmentation Development
- Build data-informed personas with demographics, psychographics, behaviors, media habits, and goals
- Develop segmentation frameworks using behavioral, attitudinal, and needs-based criteria
- Create empathy maps that capture what audiences think, feel, say, and do
- Identify the audience tension — the gap between what people want and what they experience
- Map cultural context: social norms, peer influence, and identity-driven consumption patterns
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.
- 1mo ago First seen · 216 lines · 148 tokens per session scan A 9b0b43e0575d
alterlab-pra-consumer-insight is a skill published in the GitHub repository AlterLab-IEU/AlterLab-FC-Skills (18 stars, last pushed 7mo ago), licensed MIT. It adds 148 tokens to every session and 3,094 once invoked, about $0.0006 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 2026-08-30.
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