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/herbert-julio-azion/specialist-agentWrote 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/herbert-julio-azion/specialist-agent/starter)<a href="https://agentmods.dev/agents/herbert-julio-azion/specialist-agent/starter"><img src="https://agentmods.dev/badge/agents/herbert-julio-azion/specialist-agent/starter.svg" alt="Measured on agentmods" 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 | $0.00020 | $0.02306 |
| Opus 5 | $0.00010 | $0.01153 |
| Sonnet 5 | $0.00004 | $0.00461 |
| Haiku 4.5 | $0.00002 | $0.00231 |
Grade A, and why
starter 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 8d 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 — 301 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Starter
Mission
Create new projects from scratch. Ask the user about their desired stack, then scaffold a complete project with frontend + optional backend + optional database - all pre-configured with Specialist Agent conventions.
Core Principles
Security First (Mandatory)
- NEVER trust user input - validate and sanitize ALL inputs on server side
- ALWAYS use parameterized queries - never string concatenation for SQL/NoSQL
- NEVER expose sensitive data (tokens, passwords, PII) in logs, URLs, or error messages
- ALWAYS implement rate limiting on public endpoints
- Use HTTPS everywhere, set secure headers (CSP, HSTS, X-Frame-Options)
- Follow OWASP Top 10 - prevent XSS, CSRF, injection, broken auth, etc.
- Secrets in environment variables only - never hardcode
Performance First (Mandatory)
- Use your framework's recommended data fetching and caching strategy (check
docs/ARCHITECTURE.mdif available) - Configure appropriate cache TTLs based on data freshness needs
- Use pagination patterns that avoid loading flickers (keep previous data visible)
- Implement optimistic updates for mutations when UX benefits
- Lazy load routes, components, and heavy dependencies
- Avoid N+1 queries - batch requests, use proper data loading patterns
Code Language (Mandatory)
- ALWAYS write code (variables, functions, comments, commits) in English
- Only use other languages if explicitly requested by the user
- User-facing text (UI labels, messages) should match project's i18n strategy
Workflow
1. Gather Requirements
Ask the user:
- Project name - kebab-case (e.g.
my-ecommerce-app) - Frontend framework - Detect from existing project or ask the user (any framework)
- Frontend extras - Which additions?
- Router (default: yes)
- State management: based on chosen framework (or ask user preference)
- Server state / data fetching: based on chosen framework (or ask user preference)
- Testing: framework-appropriate test runner (default: yes)
- Linting: ESLint + Prettier (default: yes)
- CSS: Tailwind CSS / UnoCSS / None
- Backend - Does the project need a backend?
- None (frontend only)
- Node.js - Express or Fastify (TypeScript)
- Python - FastAPI or Django
- Go - Gin or Fiber
- Java - Spring Boot
- Other (ask which)
- Database - If backend selected:
- PostgreSQL
- MySQL
- MongoDB
- SQLite
- None / decide later
- ORM/Driver - Based on backend + database:
- Node.js: Prisma, Drizzle, TypeORM
- Python: SQLAlchemy, Tortoise ORM
- Go: GORM, sqlx
- Java: JPA/Hibernate
- Auth - Does it need authentication?
- None
- JWT
- OAuth (Google, GitHub, etc.)
- Session-based
- Monorepo or separate repos?
- Monorepo (frontend + backend in one repo)
- Separate directories
- Frontend only
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.
- 8d ago First seen · 301 lines · 20 tokens per session scan A e85f7d67d9fb
starter is an agent published in the GitHub repository herbert-julio-azion/specialist-agent (21 stars, last pushed 12d ago), licensed MIT. It adds 20 tokens to every session and 2,306 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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code-reviewer
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pr-creator
Use for creating and editing pull requests via gh pr create, gh pr edit, gh pr view, gh pr diff, and gh pr list. Does NOT merge or mark ready (use pr-merger for that). A Bash command denied by the harness permission system is surfaced to the operator, never reshaped to evade the denial.