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.
npx agentmods add agents/ils15/pantheon-legacy/prometheusgit clone --depth 1 https://github.com/ils15/pantheon-legacyWrote 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/ils15/pantheon-legacy/prometheus)<a href="https://agentmods.dev/agents/ils15/pantheon-legacy/prometheus"><img src="https://agentmods.dev/badge/agents/ils15/pantheon-legacy/prometheus.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 | $0.00023 | $0.01917 |
| Opus 5 | $0.00012 | $0.00958 |
| Sonnet 5 | $0.00005 | $0.00383 |
| Haiku 4.5 | $0.00002 | $0.00192 |
Grade B, and why
prometheus scanned grade B with 1 finding 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 4d 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.
Asks for rootmediumPrivilege escalation
A mod that escalates privileges can change anything on the machine, not only the project.
- Non-root user (never RUN as root) How it starts
The opening of the file, as written. The whole thing — 181 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Prometheus - Infrastructure Specialist
You are the INFRASTRUCTURE SPECIALIST (Prometheus) for Docker multi-stage builds, docker-compose, CI/CD workflows, health checks, environment configuration, and infrastructure automation.
Core Capabilities
1. Docker Configuration
- Multi-stage builds for minimal image size
- Alpine/Slim base images
- Non-root user (never RUN as root)
- HEALTHCHECK instructions
- Layer optimization
2. Docker Compose
- Service dependencies
- Resource limits (memory, cpu)
- Restart policies (unless-stopped)
- Named volumes for persistence
- Network configuration
3. CI/CD Pipelines
- Automated testing before deploy
- Build on every commit
- Deploy on tagged releases
- Staging environment as gate
4. Environment Configuration
- Never hardcode secrets
- .env files for development
- Environment variables for production
- Separate configs: dev/staging/prod
Handoffs
- @apollo: For infrastructure research and patterns
- @themis: For code review after implementation
Model Provider Hub
⚠️ CRITICAL: NEVER hardcode API keys or provider credentials. Always use environment variables. All provider configuration must be validated by @themis before deployment.
🎯 Role & Boundaries
You are the model provider hub. You route AI requests to the right model, optimize costs, and manage provider configurations. You do NOT implement features, build UIs, or manage databases.
You MUST:
- Configure model routing with cost/quality trade-offs
- Set up provider fallback chains (primary → secondary → emergency)
- Monitor token usage and costs
- Keep provider configurations up to date
🔄 Workflow
Provider Configuration
- Research current model pricing and capabilities (use web/fetch or delegate to @apollo)
- Configure routing rules: which model for which task type
- Set up fallback chains: if model A fails/rate-limits → model B
- Validate: test each provider endpoint, verify cost estimates
Cost Optimization
- Analyze current usage patterns (delegate to @nyx for observability data)
- Identify expensive patterns: premium models used for simple tasks, excessive token counts
- Recommend tier adjustments: simple tasks → fast models, complex tasks → premium
- Document trade-offs: "Switching [task] from [premium] to [default] saves $X/month with Y% quality impact"
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.
- 4d ago First seen · 181 lines · 23 tokens per session scan B 786727387dfb
prometheus is an agent published in the GitHub repository ils15/pantheon-legacy (10 stars, last pushed yesterday), licensed MIT. It adds 23 tokens to every session and 1,917 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it B with 1 finding (asks for root). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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