Borrowing it
Nothing to install: this file belongs to a3ro-dev/hybridmind. 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/a3ro-dev/hybridmind/main/.agents/skills/hybridmind-mcp-use/SKILL.mdgit clone --depth 1 https://github.com/a3ro-dev/hybridmindWrote 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/skills/a3ro-dev/hybridmind/hybridmind-mcp-use)<a href="https://agentmods.dev/skills/a3ro-dev/hybridmind/hybridmind-mcp-use"><img src="https://agentmods.dev/badge/skills/a3ro-dev/hybridmind/hybridmind-mcp-use/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/skills/a3ro-dev/hybridmind/hybridmind-mcp-use"><img src="https://agentmods.dev/badge/skills/a3ro-dev/hybridmind/hybridmind-mcp-use.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 | $0.00050 | $0.00742 |
| Opus 5 | $0.00025 | $0.00371 |
| Sonnet 5 | $0.00010 | $0.00148 |
| Haiku 4.5 | $0.00005 | $0.00074 |
Grade A, and why
hybridmind-mcp-use 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.
How it starts
The opening of the file, as written. The whole thing — 49 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Using HybridMind MCP Memory Server
As an AI assistant connected to HybridMind, you have access to four tools to maintain long-term memory across chat sessions.
Available Tools
-
remember(text: str, metadata: dict = None)- When to use: Whenever the user shares a fact about themselves, their preferences, project details, or other important episodic memories.
- Metadata recommendation: Always tag memories with
{"session_id": "current_session_id"}and a category like{"type": "user_preference"}or{"type": "project_fact"}to make retrieval cleaner. - Example:
remember(text="Alice prefers Python over TypeScript for data science scripts", metadata={"session_id": "sess_123", "type": "user_preference"})
-
recall(query: str, top_k: int = 10, mode: str = "hybrid")- When to use: At the beginning of a conversation or when the user asks a question about past interactions or stored facts.
- Modes:
hybrid(default): Combined vector and graph proximity retrieval. Best for most queries.vector: Pure semantic search.
- Example:
recall(query="What are Alice's programming language preferences?")
-
relate(source_id: str, target_id: str, relationship: str = "related_to", weight: float = 1.0)- When to use: When storing a new memory that is directly connected, caused by, or contradicts an existing memory.
- Common relationship types:
caused_by/led_to: Causal chains of events.contradicts: When a new memory invalidates or conflicts with an old one.supports: Evidentiary links.supersedes: When a new memory replaces an old one (e.g. updating an address or preference).
- Example:
relate(source_id="new_node_id", target_id="old_node_id", relationship="supersedes")
-
forget(node_id: str)- When to use: When the user explicitly requests to delete a specific memory, or when a memory is completely superseded and no longer relevant.
- Note: This performs a soft-delete (the node is marked as deleted but stays in the DB until the next compact operation).
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 · 49 lines · 50 tokens per session scan A f3752cf6d401
hybridmind-mcp-use is a skill published in the GitHub repository a3ro-dev/hybridmind (5 stars, last pushed 14d ago), licensed MIT. It adds 50 tokens to every session and 742 once invoked, about $0.0003 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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