byted-redis

byted-redis is a skill for Claude Code, Codex from bytedance/agentkit-samples. It costs 79 tokens per session (2,354 once invoked), scanned A, original, Apache-2.0.

A workflow for operating Volcengine Redis cloud resources. Redis is a data store often used for fast lookups, caching, and temporary application data.

In plain words
What is it for?
It helps inspect instances, regions, networks, endpoints, logs, backups, parameters, accounts, and access-control settings.
Why use it?
It keeps Redis administration focused on Volcengine resources and provides guidance for finding the right operational tool or query.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

About the project

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.

bytedance/agentkit-samples · 446 stars · on GitHub

Install

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.

agentmods
npx agentmods add skills/bytedance/agentkit-samples/byted-redis
Any agent
npx skills add bytedance/agentkit-samples --skill byted-redis
Clone the repo
git clone --depth 1 https://github.com/bytedance/agentkit-samples

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for byted-redis

README.md
[![agentmods](https://agentmods.dev/badge/skills/bytedance/agentkit-samples/byted-redis.svg)](https://agentmods.dev/skills/bytedance/agentkit-samples/byted-redis)
Your own site
<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>
Per session 79 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,354 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce 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

Measured 2d ago against content hash cd7de4437e2f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

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.

The scan reads SKILL.md. This mod also ships 7 executable files (scripts/background_streamable_http_mcp_service.py, scripts/call_redis_mcp_example.py, scripts/call_redis_mcp_streamable_http_example.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/byted-redis/SKILL.md · 190 lines

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

  1. Classify the request as read-only or mutating.
  2. Check the required identifiers. Prefer explicit region_id and instance_id when available. If the user gives only a name or vague keyword, first call describe_db_instances with region and filter arguments, then use the returned instance ID for detail tools.
  3. Verify credentials are available before starting MCP:
    • AUTHORIZATION or authorization, or
    • VOLCENGINE_ACCESS_KEY and VOLCENGINE_SECRET_KEY, with optional VOLCENGINE_SESSION_TOKEN.
  4. If the region is not supplied, use VOLCENGINE_REGION when 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 as describe_zones or describe_db_instances once the region is known.
  5. Use the bundled client in scripts/mcp_client.py for custom calls. For a smoke test, run uv run scripts/call_redis_mcp_example.py from this skill directory.
  6. 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.
  7. 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.

Read the full file on GitHub · 190 lines

Changes

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.

  1. 2d ago First seen · 190 lines · 79 tokens per session scan A cd7de4437e2f

Subscribe to this mod's changes

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.

Related

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…

samber/cc-skills-golang · 122 tokens

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.

HoangNguyen0403/agent-skills-standard · 37 tokens

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…

MicrosoftDocs/Agent-Skills · 103 tokens

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…

MicrosoftDocs/Agent-Skills · 90 tokens

redis

Run Redis commands against a Redis asset via exec. Covers command syntax, the db scope parameter, and why SELECT must not be used.

opskat/opskat · 29 tokens

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…

gongyijie85/dsh-ecc · 59 tokens