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 instructions/cloudllm-ai/mentisdb/agents-mdgit clone --depth 1 https://github.com/CloudLLM-ai/mentisdbWrote 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/cloudllm-ai/mentisdb/agents-md)<a href="https://agentmods.dev/instructions/cloudllm-ai/mentisdb/agents-md"><img src="https://agentmods.dev/badge/instructions/cloudllm-ai/mentisdb/agents-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 | $0.00176 | $0.00176 |
| Opus 5 | $0.00088 | $0.00088 |
| Sonnet 5 | $0.00035 | $0.00035 |
| Haiku 4.5 | $0.00018 | $0.00018 |
Grade A, and why
mentisdb AGENTS.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 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.
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
mentisdb Standards
mentisdb follows the same engineering bar as cloudllm.
Scope
mentisdbis a standalone crate.cloudllmmay depend onmentisdb.mentisdbmust not depend oncloudllm.
Standards
- Public API changes require rustdoc on exported types and functions.
- New behavior requires tests.
- Serialization and persistence changes must preserve explicit integrity checks.
- Retrieval and export features should be generic enough to support direct crate use, MCP services, REST services, and CLI tools.
- Crate metadata must remain suitable for crates.io publishing.
Design Bias
- Prefer semantic memory primitives over agent-framework-specific abstractions.
- Keep storage durable and append-only.
- Keep query and export APIs first-class, not bolted on as prompt helpers.
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 · 24 lines · 176 tokens per session scan A b95c3483fab7
mentisdb AGENTS.md is an instructions file published in the GitHub repository CloudLLM-ai/mentisdb (84 stars, last pushed 19d ago), licensed MIT. It adds 176 tokens to every session, about $0.0009 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.
Other instructions, from other repositories
plan-forge caching.instructions.md
Caching patterns for .NET — IDistributedCache, Redis, in-memory, cache-aside, TTL strategies.
cavemem CLAUDE.md
Instructions for JuliusBrussee/cavemem, covering cavemem — agent playbook, project identity, non-negotiable rules, architectural rules and layout.
mentedb copilot-instructions.md
Instructions for nambok/mentedb, covering mentedb development instructions, project overview, workspace structure, build, test, and lint and key types.
remindb CLAUDE.md
Instructions for radimsem/remindb, covering claude.md, project at a glance, code map, where to read first — don't grep, don't ls and tread carefully — pause before implementing.
apex-accelerator context-optimization.instructions.md
Context window optimization rules for agent definitions, skills, and instruction files.
apex-accelerator agent-operating-frame.instructions.md
Shared operating frame for main step agents — read SKILL.md once, use apex-recall for cached lookups, never edit upstream artifacts. Pairs with each agent's body-level Operating frame H2.