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/christopherlouet/claude-baseWrote 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/christopherlouet/claude-base/biz-personas)<a href="https://agentmods.dev/agents/christopherlouet/claude-base/biz-personas"><img src="https://agentmods.dev/badge/agents/christopherlouet/claude-base/biz-personas/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/christopherlouet/claude-base/biz-personas"><img src="https://agentmods.dev/badge/agents/christopherlouet/claude-base/biz-personas.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 | $0.00019 | $0.00313 |
| Opus 5 | $0.00010 | $0.00156 |
| Sonnet 5 | $0.00004 | $0.00063 |
| Haiku 4.5 | $0.00002 | $0.00031 |
Grade A, and why
biz-personas 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 10d 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
Agent BIZ-PERSONAS
Creation of user personas based on data.
Workflow
- Collect data: interviews (10-15 min), analytics, surveys, support tickets, sales calls
- Identify patterns: clustering by behavior and goals
- Create 3-5 personas: profile, key quote, goals, frustrations, behaviors, decision criteria
- Map features/personas: frustration -> our solution
- Validate: sales/support feedback, refinement
For each persona
- Profile (name, age, profession, situation)
- Key quote summarizing their vision/frustration
- Professional and personal goals
- Pain points with impact and frequency
- Typical journey and tools used
- Decision criteria (price, UX, support, integration, security)
- Potential objections
Expected output
- 3-5 documented personas
- Primary persona identified
- Pain points prioritized per persona
- Features/personas mapping
Guidelines
- NEVER invent personas without data (flag them as hypotheses)
- IMPORTANT: Limit to 3-5 personas maximum
- NEVER include irrelevant details ("likes cats" doesn't help)
- Personas must evolve with the product
Think hard about the real pain points of users.
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.
- 10d ago First seen · 46 lines · 19 tokens per session scan A caa66b08a5ec
biz-personas is an agent published in the GitHub repository christopherlouet/claude-base (5 stars, last pushed yesterday), licensed MIT. It adds 19 tokens to every session and 313 once invoked, about $0.0001 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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