Borrowing it
Nothing to install: this file belongs to yaalalabs/agent-kernel. 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/yaalalabs/agent-kernel/develop/.agents/skills/ak-dev-new-multimodal-storage/SKILL.mdgit clone --depth 1 https://github.com/yaalalabs/agent-kernelWrote 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/yaalalabs/agent-kernel/ak-dev-new-multimodal-storage)<a href="https://agentmods.dev/skills/yaalalabs/agent-kernel/ak-dev-new-multimodal-storage"><img src="https://agentmods.dev/badge/skills/yaalalabs/agent-kernel/ak-dev-new-multimodal-storage/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/yaalalabs/agent-kernel/ak-dev-new-multimodal-storage"><img src="https://agentmods.dev/badge/skills/yaalalabs/agent-kernel/ak-dev-new-multimodal-storage.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00073 | $0.04047 |
| Opus 5.5 | $0.00029 | $0.01619 |
| Sonnet 5.5 | $0.00015 | $0.00809 |
| Haiku 4.5 | $0.00007 | $0.00405 |
Grade A, and why
ak-dev-new-multimodal-storage 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 today.
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 — 384 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Adding a New Multimodal Storage Backend
This guide walks through adding a new attachment storage backend to Agent Kernel's multimodal subsystem. Use the existing Redis (ak-py/src/agentkernel/core/multimodal/storage/redis.py) and DynamoDB (ak-py/src/agentkernel/core/multimodal/storage/dynamodb.py) implementations as reference.
Existing Backends
| Backend | Config value | Features | Extras |
|---|---|---|---|
| In-memory | in_memory |
Ephemeral ClassVar dict, zero setup, single-process only |
None |
| Redis | redis |
Persistent, TTL, shared RedisDriver (lazy connect, retry, ping/reconnect), distributed |
agentkernel[multimodal,redis] |
| DynamoDB | dynamodb |
Serverless/AWS, TTL via expiry_time, fully managed |
agentkernel[multimodal,aws] |
| Session cache | session_cache |
Legacy — stores in session nv_cache (causes bloat, not recommended) |
None |
To run multimodal end-to-end (hooks/tools), you typically need
agentkernel[multimodal]plus the backend-specific extra shown above (for example:agentkernel[multimodal,redis]oragentkernel[multimodal,aws]).
Architecture Overview
The multimodal storage system uses a simple pluggable pattern:
AttachmentStore(storage/base.py) — abstract base class withsave(),get(),delete()AttachmentData(storage/base.py) — dataclass representing a stored attachment (id, type, data, name, mime_type, description, timestamp, url)AttachmentStorageManager(storage/storage_manager.py) — high-level API that reads configuration, instantiates the correctAttachmentStorevia_build_driver(), and providessave_attachment()/get_attachment_data()methods- Callers:
MultimodalPreHooksaves attachments;AnalyzeAttachmentsToolretrieves them
MultimodalPreHook / AnalyzeAttachmentsTool
→ AttachmentStorageManager(session_id)
→ _build_driver(session_id) # reads config.multimodal.storage_type
→ InMemoryAttachmentStore # or Redis, DynamoDB, etc.
→ save_attachment() / get_attachment_data()
→ AttachmentStore.save() / .get()
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.
- today Changed · -1 lines f7f6a66ddf8c
- 1mo ago Changed · +3 lines 12b61183430c
- 1mo ago Changed · +2 lines 0231f8be05d5
- 2mo ago Changed · +5 lines 71c3417342b7
- 2mo ago First seen · 375 lines · 73 tokens per session scan A b1ec87654a77
ak-dev-new-multimodal-storage is a skill published in the GitHub repository yaalalabs/agent-kernel (192 stars, last pushed yesterday), licensed Apache-2.0. It adds 73 tokens to every session and 4,047 once invoked, about $0.0003 per session on Opus 5.5. 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.
ak-dev-new-multimodal-storage compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| ak-dev-new-multimodal-storageyaalalabs/agent-kernel | Skill | 192 | yesterday | Apache-2.0 | A | 73 | Claude Code, Codex |
| google-firebase-ninjafabricioctelles/jump-skills | Skill | 32 | yesterday | MIT | A | 98 | Claude Code, Codex |
| b00telasticdotventures/_b00t_ | Skill | 15 | 12d ago | none | A | 0 | Claude Code |
| django-migration-psqlprowler-cloud/prowler | Skill | 15k | yesterday | Apache-2.0 | A | 96 | Claude Code |
| azure-postgres-tsmicrosoft/skills | Skill | 3.2k | yesterday | MIT | A | 94 | Claude Code |
| notionArvo-AI/aurora | Skill | 454 | yesterday | Apache-2.0 | A | 23 | Claude Code |
| datadogArvo-AI/aurora | Skill | 454 | yesterday | Apache-2.0 | A | 28 | Claude Code |