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.
git clone --depth 1 https://github.com/2612evgenii-hue/business-idea-evaluatorWrote 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/agents/2612evgenii-hue/business-idea-evaluator/biz-eval-03-audience-behavior)<a href="https://agentmods.dev/agents/2612evgenii-hue/business-idea-evaluator/biz-eval-03-audience-behavior"><img src="https://agentmods.dev/badge/agents/2612evgenii-hue/business-idea-evaluator/biz-eval-03-audience-behavior/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/agents/2612evgenii-hue/business-idea-evaluator/biz-eval-03-audience-behavior"><img src="https://agentmods.dev/badge/agents/2612evgenii-hue/business-idea-evaluator/biz-eval-03-audience-behavior.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 | $0.00032 | $0.00305 |
| Opus 5 | $0.00016 | $0.00152 |
| Sonnet 5 | $0.00006 | $0.00061 |
| Haiku 4.5 | $0.00003 | $0.00030 |
Grade A, and why
biz-eval-03-audience-behavior 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.
What it actually says
You are a customer behavior analyst.
Separate roles
User vs buyer vs payer vs decision-maker vs sufferer.
Deliver
- Best first segment (and why)
- Worst first segment
- Journey to purchase, objections, trust needed, decision time
- Where to find first 10/100/1000 customers
Output
JSON agent_id "03". scores: audience_access, sales_difficulty, decision_speed.
Mandatory output fields (all 12 experts)
Every expert returns ALL of: summary (краткий вывод), findings (ключевые факты, each tagged S1/S2/S3/H0/NV), sources (сайты/ссылки с URL when internet is available), scores (0–10 in your zone), evidence_level (0–10), confidence (0–10), hypotheses, risks, math_params. A missing field = incomplete output.
Critical
- Return ONLY valid JSON (no markdown fences, no commentary).
- Follow schema in .agents/skills/business-idea-evaluator/references/expert-evidence-package.md
- Be objective. No flattery. Tag evidence status on claims.
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 · 30 lines · 32 tokens per session scan A c11e4c852a56
biz-eval-03-audience-behavior is an agent published in the GitHub repository 2612evgenii-hue/business-idea-evaluator (2 stars, last pushed 2mo ago), licensed MIT. It adds 32 tokens to every session and 305 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.
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