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/toolprint/awesome-mcp-personasWrote 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/commands/toolprint/awesome-mcp-personas/new-persona)<a href="https://agentmods.dev/commands/toolprint/awesome-mcp-personas/new-persona"><img src="https://agentmods.dev/badge/commands/toolprint/awesome-mcp-personas/new-persona/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/commands/toolprint/awesome-mcp-personas/new-persona"><img src="https://agentmods.dev/badge/commands/toolprint/awesome-mcp-personas/new-persona.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 | $0.00000 | $0.01120 |
| Opus 5.5 | $0.00000 | $0.00448 |
| Sonnet 5.5 | $0.00000 | $0.00224 |
| Haiku 4.5 | $0.00000 | $0.00112 |
Grade A, and why
new-persona 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 2mo 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 — 133 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/new-persona
Generate a new persona definition for the awesome-mcp-personas registry.
Purpose
This command helps users create a new persona by walking through a structured Q&A process to gather requirements and generate the necessary configuration files following the project schemas.
Process
1. Initial Questions
Ask the user these questions to understand their persona requirements:
Q1: Basic Information
- What is the name of your persona? (lowercase, hyphen-delimited, e.g., "data-scientist", "frontend-developer")
- Provide a brief description of this persona's purpose (10-500 characters)
- Who is the target audience for this persona?
Q2: Work Domain
- What type of work will this persona primarily do? (Choose one or more)
- Software Development
- Data Analysis
- DevOps/Infrastructure
- Content Creation
- Security/Compliance
- Research
- Other (specify)
Q3: Core Tools
- What are the essential tools/capabilities this persona needs? (List key functionalities)
- Version control (git)
- File system operations
- Language-specific tools (npm, pip, cargo, etc.)
- Testing frameworks
- Database access
- API interactions
- Cloud services
- Other (specify)
Q4: MCP Servers
- Do you have specific MCP servers in mind? (If yes, list them)
- Should I research and suggest appropriate MCP servers based on your requirements? (Uses @mcp-researcher agent)
Q5: Toolsets Organization
- Do you want multiple toolsets for different workflows? (e.g., "development", "testing", "deployment")
- If yes, describe the different workflows/contexts
Q6: Transport Preferences
- What type of MCP server connections do you prefer?
- stdio (standard I/O) - Default, most common
- http (HTTP endpoints)
- sse (Server-Sent Events)
- Mixed (different servers use different transports)
2. Initial README Generation
Based on user requirements, create a comprehensive README.md as the foundation:
Step 2a: Generate Initial README
Create directory and generate README.md using /schema/README.template.md:
personas/[persona-name]/
└── README.md (with persona requirements and use cases)
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.
- 2mo ago First seen · 133 lines · 0 tokens per session scan A b6d44458b076
new-persona is a command published in the GitHub repository toolprint/awesome-mcp-personas (39 stars, last pushed 1y ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,120 tokens. 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.
new-persona compared with commands from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| new-personatoolprint/awesome-mcp-personas | Command | 39 | 1y ago | MIT | A | 0 | Claude Code |
| rfcluca-mastrostefano/agent-native-setup | Command | 7 | yesterday | MIT | A | 12 | Claude Code |
| t800-startKhar-AG/t-800-agent | Command | 8 | 2mo ago | MIT | A | 0 | Claude Code |
| pn-audit-dataperniemann/pnCore | Command | 0 | 5d ago | MIT | A | 42 | Claude Code, Cursor |
| pn-delightperniemann/pnCore | Command | 0 | 5d ago | MIT | A | 30 | Claude Code, Cursor |
| t800-updateKhar-AG/t-800-agent | Command | 8 | 2mo ago | MIT | A | 0 | Claude Code |
| t800-doctorKhar-AG/t-800-agent | Command | 8 | 2mo ago | MIT | A | 0 | Claude Code |