Borrowing it
Nothing to install: this file belongs to takechanman1228/claude-persona. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/takechanman1228/claude-persona/main/CLAUDE.mdgit clone --depth 1 https://github.com/takechanman1228/claude-personaWrote 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/instructions/takechanman1228/claude-persona/claude-md)<a href="https://agentmods.dev/instructions/takechanman1228/claude-persona/claude-md"><img src="https://agentmods.dev/badge/instructions/takechanman1228/claude-persona/claude-md/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/instructions/takechanman1228/claude-persona/claude-md"><img src="https://agentmods.dev/badge/instructions/takechanman1228/claude-persona/claude-md.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 | $0.02159 | $0.02159 |
| Opus 5 | $0.01079 | $0.01079 |
| Sonnet 5 | $0.00432 | $0.00432 |
| Haiku 4.5 | $0.00216 | $0.00216 |
Grade A, and why
claude-persona CLAUDE.md 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.
How it starts
The opening of the file, as written. The whole thing — 144 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
What This Is
A Claude Code skill (/persona) inspired by TinyTroupe that builds market-specific persona panels and pressure-tests product concepts before fieldwork. It generates diverse personas, simulates independent concept test responses via claude -p subprocesses (one per persona), analyzes results, and produces executive reports.
Common Commands
# Run all tests (150 unit tests, no external dependencies needed)
python -m pytest tests/ -q
# Run a single test file
python -m pytest tests/test_simulate_survey.py -q
# Run a single test
python -m pytest tests/test_simulate_survey.py::ValidateResponseTests::test_accepts_canonical_nested_concept_response -q
# Run survey simulation (requires claude CLI authenticated)
python scripts/simulate_survey.py --config demo/running-shoes/concept-test/config.json
# Dry-run (preview prompts without executing)
python scripts/simulate_survey.py --config demo/running-shoes/concept-test/config.json --dry-run
# Run with analysis + LLM report
python scripts/simulate_survey.py --config demo/running-shoes/concept-test/config.json --analyze --report-llm
# Run with a different model (aliases or full IDs; e.g. Claude Fable 5)
python scripts/simulate_survey.py --config ... --model fable --fallback-model sonnet
# Run analysis only on existing results
python scripts/analyze_results.py --input outputs/.../results.json --survey-type concept-test
# Install analysis dependencies (only needed for analyze_results.py)
pip install pandas matplotlib seaborn
Architecture
3-Step Workflow (maps to TinyTroupe)
| Step | Skill | TinyTroupe equivalent |
|---|---|---|
| 1. Build Panel | Panel Builder generates diverse personas | TinyPersonFactory |
| 2. Run Concept Test | Simulation Engine runs agent-separated interviews | TinyWorld |
| 3. Review Findings | Analysis Pipeline produces report + charts | Extract & Analyze |
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 · 144 lines · 2,159 tokens per session scan A 7b4acf6b5ef3
claude-persona CLAUDE.md is an instructions file published in the GitHub repository takechanman1228/claude-persona (52 stars, last pushed 2mo ago), licensed MIT. It adds 2,159 tokens to every session, about $0.0108 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 2026-08-30.
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