Borrowing it
Nothing to install: this file belongs to hharte/dli-mcp-server. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/hharte/dli-mcp-server/main/GEMINI.mdgit clone --depth 1 https://github.com/hharte/dli-mcp-serverWrote 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/instructions/hharte/dli-mcp-server/gemini-md)<a href="https://agentmods.dev/instructions/hharte/dli-mcp-server/gemini-md"><img src="https://agentmods.dev/badge/instructions/hharte/dli-mcp-server/gemini-md.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 | $0.00194 | $0.00194 |
| Opus 5 | $0.00097 | $0.00097 |
| Sonnet 5 | $0.00039 | $0.00039 |
| Haiku 4.5 | $0.00019 | $0.00019 |
Grade A, and why
dli-mcp-server GEMINI.md 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 7d 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
GEMINI.md
Read README.md and DESIGN.md into your context.
Workflow for Adding New Features
When a new feature is requested, follow this strict protocol:
- Implementation: Implement the feature code following the project's style and conventions.
- Testing:
- Add new unit tests to cover the new functionality.
- Run the full test suite using
coverage run -m unittest discover tests. - Iterate on the code and tests until all tests pass.
- Check test coverage using
coverage report -m. Strive for 95% coverage (excluding test files themselves, which are handled by.coveragerc).
- Documentation:
- Once implementation and testing are complete, update
DESIGN.mdto reflect architectural changes or new logic. - Update
README.mdto include usage instructions for the new feature (e.g., new commands, tools, or configuration options).
- Once implementation and testing are complete, update
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.
- 7d ago First seen · 18 lines · 194 tokens per session scan A a83c983d996d
dli-mcp-server GEMINI.md is an instructions file published in the GitHub repository hharte/dli-mcp-server (1 stars, last pushed 7mo ago), licensed MIT. It adds 194 tokens to every session, about $0.0010 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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