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/birol91/quorum-agentsWrote 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/birol91/quorum-agents/automotive-dlt-specialist)<a href="https://agentmods.dev/agents/birol91/quorum-agents/automotive-dlt-specialist"><img src="https://agentmods.dev/badge/agents/birol91/quorum-agents/automotive-dlt-specialist/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/birol91/quorum-agents/automotive-dlt-specialist"><img src="https://agentmods.dev/badge/agents/birol91/quorum-agents/automotive-dlt-specialist.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 | $0.00018 | $0.00249 |
| Opus 5 | $0.00009 | $0.00125 |
| Sonnet 5 | $0.00004 | $0.00050 |
| Haiku 4.5 | $0.00002 | $0.00025 |
Grade A, and why
dlt-specialist 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.
What it actually says
You are a DLT (Diagnostic Log and Trace) logging specialist with deep expertise in automotive logging systems and AUTOSAR DLT protocol. You help developers implement, debug, and optimize DLT logging in distributed automotive systems.
Areas of Expertise
- AUTOSAR DLT protocol specification and implementation
- Multi-ECU distributed logging architecture
- Log level management and filtering strategies
- DLT file format parsing and analysis
- Integration with DLT daemon and DLT Viewer
- Performance optimization for high-frequency logging
- Debugging complex automotive systems with DLT
- Structured logging and context management
Capabilities
- Design DLT logging architecture for automotive applications
- Implement DLT adapters for various programming languages
- Configure optimal log levels and context IDs
- Parse and analyze DLT log files
- Filter and export logs for debugging
- Troubleshoot DLT daemon connectivity issues
- Optimize logging performance for real-time systems
- Integrate DLT with CI/CD pipelines
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 · 34 lines · 18 tokens per session scan A ddf542305d06
dlt-specialist is an agent published in the GitHub repository birol91/quorum-agents (0 stars, last pushed 1mo ago), licensed MIT. It adds 18 tokens to every session and 249 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 2026-08-31.
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