bytedance/agentkit-samples is a collection of examples and tutorials for Volcengine AgentKit, an AI-agent development platform for building, deploying, and operating agent applications. Developers use the samples to learn agent creation, multi-agent collaboration, memory, retrieval, MCP integrations, media generation, customer service, and other workflows. The catalogue skills provide agent workflows based on these examples.
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 skills/bytedance/agentkit-samples/byted-redisnpx skills add bytedance/agentkit-samples --skill byted-redisgit clone --depth 1 https://github.com/bytedance/agentkit-samplesWrote 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/bytedance/agentkit-samples/byted-redis)<a href="https://agentmods.dev/skills/bytedance/agentkit-samples/byted-redis"><img src="https://agentmods.dev/badge/skills/bytedance/agentkit-samples/byted-redis.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 | $0.00079 | $0.02354 |
| Opus 5 | $0.00039 | $0.01177 |
| Sonnet 5 | $0.00016 | $0.00471 |
| Haiku 4.5 | $0.00008 | $0.00235 |
Grade A, and why
byted-redis 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 2d 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 — 190 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Volcengine Redis MCP Server Skill
Purpose
Use this skill as the agent-facing workflow for Volcengine Redis cloud resource operations. The skill bundles MCP client scripts, startup scripts, credential guidance, and tool-selection instructions so agents can perform Volcengine Redis resource queries and management tasks.
This skill is scoped to Volcengine Redis only. Redis-related requests outside Volcengine, such as OSS Redis command execution, self-hosted Redis troubleshooting, application cache logic, Redis running in Kubernetes, or non-Volcengine cloud Redis products, should use other tools or skills.
Triggering Rules
Use this skill when the user asks for Volcengine Redis tasks such as:
- Redis instance inventory, detail lookup, status lookup, filtering by region, instance ID, name, tag, VPC, or subnet.
- Region, zone, VPC, subnet, EIP, spec, shard, node ID, endpoint, bandwidth, or topology information.
- Slow log, hot key, big key, key scan job, planned event, or operational metadata queries.
- Backup, PITR, cross-region backup, backup plan, or backup download URL queries.
- Parameter group, instance parameter, ACL command/category, account, or allowlist operations.
- Creating or modifying Volcengine Redis resources, including instances, accounts, allowlists, public endpoints, names, and parameters.
Do not use this skill for generic Redis command execution against a data endpoint, application-side cache debugging, Kubernetes pod metadata lookup, self-hosted Redis, other cloud providers' Redis products, or any non-Volcengine Redis resource unless the user explicitly says the target is Volcengine Redis.
Execution Workflow
- Classify the request as read-only or mutating.
- Check the required identifiers. Prefer explicit
region_idandinstance_idwhen available. If the user gives only a name or vague keyword, first calldescribe_db_instanceswith region and filter arguments, then use the returned instance ID for detail tools. - Verify credentials are available before starting MCP:
AUTHORIZATIONorauthorization, orVOLCENGINE_ACCESS_KEYandVOLCENGINE_SECRET_KEY, with optionalVOLCENGINE_SESSION_TOKEN.
- If the region is not supplied, use
VOLCENGINE_REGIONwhen set. If neither the user nor the environment gives a region, ask for the region before making region-scoped calls. Prefer region-scoped discovery tools such asdescribe_zonesordescribe_db_instancesonce the region is known. - Use the bundled client in
scripts/mcp_client.pyfor custom calls. For a smoke test, runuv run scripts/call_redis_mcp_example.pyfrom this skill directory. - For mutating operations, summarize the target resource and intended change, then ask for user confirmation before calling the tool unless the user has already clearly authorized that exact mutation.
- Return concise results with the resource identifiers, region, status, and the fields relevant to the user's question. Mention when output was filtered or truncated.
What ships with it
10 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- LICENSE 633 B
- README.md 6.7 KB
- requirements.txt 106 B
- scripts/background_streamable_http_mcp_service.py 13 KB runs code
- scripts/call_redis_mcp_example.py 3.5 KB runs code
- scripts/call_redis_mcp_streamable_http_example.py 3.3 KB runs code
- scripts/mcp_client.py 5.5 KB runs code
- scripts/start_volcengine_redis_mcp.sh 828 B runs code
- scripts/status_volcengine_redis_mcp.sh 823 B runs code
- scripts/stop_volcengine_redis_mcp.sh 817 B runs code
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.
- 2d ago First seen · 190 lines · 79 tokens per session scan A cd7de4437e2f
byted-redis is a skill published in the GitHub repository bytedance/agentkit-samples (446 stars, last pushed yesterday), licensed Apache-2.0. It adds 79 tokens to every session and 2,354 once invoked, about $0.0004 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 2026-09-03.
Other skills, from other repositories
golang-samber-hot
In-memory caching in Golang using samber/hot — eviction algorithms (LRU, LFU, TinyLFU, W-TinyLFU, S3FIFO, ARC, TwoQueue, SIEVE, FIFO), TTL, cache loaders, sharding, stale-while-revalidate, missing key caching, and Prometheus metrics. Apply when using or adopting samber/hot, when the codebase imports…
database-redis
Optimize Redis as cache and coordination infrastructure with TTL, eviction, and latency-aware key design. Use when implementing Redis caching, key invalidation, or Redis performance work.
azure-cache-redis
Expert knowledge for Azure Cache for Redis development including troubleshooting, best practices, decision making, architecture & design patterns, security, configuration, and deployment. Use when configuring geo-replication, persistence, VNet/private endpoints, Entra/RBAC auth, or ARM/Bicep deployments, and other…
azure-managed-redis
Expert knowledge for Azure Managed Redis development including troubleshooting, best practices, decision making, architecture & design patterns, security, configuration, integrations & coding patterns, and deployment. Use when using Azure Managed Redis SDKs, Entra ID auth, clustering/sharding, geo-replication, or…
redis
Run Redis commands against a Redis asset via exec. Covers command syntax, the db scope parameter, and why SELECT must not be used.
docker-patterns
Docker and Docker Compose patterns for local development, hardened CLI installer harnesses, container security, networking, volumes, and multi-service orchestration. Use when creating or reviewing Dockerfiles and Compose services, testing installers across Linux distributions, or planning accurate native macOS and…