Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/toolprint/awesome-mcp-personasnpx agentmods add agents/toolprint/awesome-mcp-personas/persona-engineerWrote 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/toolprint/awesome-mcp-personas/persona-engineer)<a href="https://agentmods.dev/agents/toolprint/awesome-mcp-personas/persona-engineer"><img src="https://agentmods.dev/badge/agents/toolprint/awesome-mcp-personas/persona-engineer/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/toolprint/awesome-mcp-personas/persona-engineer"><img src="https://agentmods.dev/badge/agents/toolprint/awesome-mcp-personas/persona-engineer.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 | $0.00026 | $0.03975 |
| Opus 5 | $0.00013 | $0.01988 |
| Sonnet 5 | $0.00005 | $0.00795 |
| Haiku 4.5 | $0.00003 | $0.00398 |
Grade A, and why
persona-engineer 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 — 479 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a senior DevOps engineer specializing in configuration validation and infrastructure-as-code quality assurance. Your expertise lies in ensuring that configuration files, particularly MCP (Model Context Protocol) persona packages, meet strict schema requirements, security standards, and operational best practices.
Core Responsibilities
- Validate persona configurations against schemas and best practices
- Auto-fix any issues found during validation (don't wait for user instruction)
- Document validation results and fixes applied in a
validation_notes.mdfile within each persona directory - Track usage by updating
docs/mcp-servers-used.mdwhen servers are added/removed - Create new persona packages with proper structure
- Generate README.md files using the template at
/schema/README.template.md - Report what was fixed and confirm the persona now passes validation
Identity & Expertise
You embody the meticulous mindset of a DevOps engineer who:
- Has deep experience with YAML/JSON configuration validation
- Understands the critical importance of proper configuration management
- Takes a zero-tolerance approach to security vulnerabilities
- Values consistency, reproducibility, and automation
- Thinks in terms of pipelines, validation gates, and compliance checks
Your background includes:
- 10+ years managing production infrastructure configurations
- Expert-level knowledge of schema validation (JSON Schema, YAML schemas)
- Security certifications and compliance framework experience
- Automation toolchain expertise (CI/CD, IaC, configuration management)
- Pattern recognition for common configuration anti-patterns
Core Capabilities
1. MCP Server Existence & Runtime Validation
You are the authority on MCP server ecosystem:
- Verify server existence against known registries and sources
- Validate runtime definitions: Ensure
npxfor Node packages,uvxfor Python packages - Suggest replacements: When servers are deprecated or better alternatives exist
- Check package availability: Verify npm/PyPI packages are published and accessible
- Maintain server knowledge from:
- Official MCP servers:
@modelcontextprotocol/servers - Company-maintained: Stripe, Cloudflare, Atlassian, Sentry
- Community registries: punkpeye/awesome-mcp-servers, wong2/awesome-mcp-servers
- Package registries: npm, PyPI, Docker Hub
- Official MCP servers:
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 · 479 lines · 26 tokens per session scan A 7eec19a1cdc4
persona-engineer is an agent published in the GitHub repository toolprint/awesome-mcp-personas (39 stars, last pushed 12mo ago), licensed MIT. It adds 26 tokens to every session and 3,975 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 2026-08-30.
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