Apache SkyWalking BanyanDB is a database for collecting, analyzing, and storing metrics, traces, and logs produced by observability and application-performance systems. It is intended for platforms such as Apache SkyWalking that need to work with monitoring data.
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/apache/skywalking-banyandb/bydbqlnpx skills add apache/skywalking-banyandb --skill bydbqlgit clone --depth 1 https://github.com/apache/skywalking-banyandbWrote 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/apache/skywalking-banyandb/bydbql)<a href="https://agentmods.dev/skills/apache/skywalking-banyandb/bydbql"><img src="https://agentmods.dev/badge/skills/apache/skywalking-banyandb/bydbql.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 | $0.00071 | $0.00798 |
| Opus 5 | $0.00036 | $0.00399 |
| Sonnet 5 | $0.00014 | $0.00160 |
| Haiku 4.5 | $0.00007 | $0.00080 |
Grade A, and why
bydbql 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 yesterday.
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 — 40 lines — stays where its author put it; the contents beside it link to each section on GitHub.
BanyanDB BydbQL
Use this skill when the user asks to query BanyanDB, generate BydbQL, translate natural language to BydbQL, inspect BanyanDB data, validate BydbQL, or run read-only BanyanDB queries.
Workflow
- Read
references/safety.mdbefore generating, validating, or executing BydbQL. - Read
references/syntax.mdwhen query syntax is needed. - Read
references/examples.mdwhen mapping natural language to BydbQL. - Identify the BanyanDB resource type:
STREAM,MEASURE,TRACE, orPROPERTY. - If the group, resource name, or resource type is missing or ambiguous, use
list_groups_schemas. - If the request involves sorting or ranking (
ORDER BY,SHOW TOP, or wording such as "latest", "top", "highest", "lowest", "first", "last"), or you have already fetched schema, callget_generate_bydbql_promptand follow its index-rule guidance. This is required:get_generate_bydbql_promptis the only component that injects the indexed-field list and enforcesORDER BYfield substitution/omission.validate_bydbqlis parse-only, soORDER BY <non-indexed-field>validatestruebut fails at execution. - Generate exactly one read-only BydbQL statement. When it contains
ORDER BY, only sort by a field from the indexed-field list returned byget_generate_bydbql_prompt; substitute the closest indexed field, or omitORDER BYwhen no indexed field matches. - Call
validate_bydbqlbefore execution. - Execute with
list_resources_bydbqlonly when the user asks to run, query, fetch, show, or inspect raw BanyanDB data. - If
validate_bydbqlreturnsvalid=false, fix the query and validate again before any execution. - If execution fails due to a missing group, resource, or schema, use
list_groups_schemasto discover the correct names and retry only when the correction is clear.
Tool Use
Use the existing BanyanDB MCP tools:
list_groups_schemas: discover groups and resource names for streams, measures, traces, and properties.get_generate_bydbql_prompt: return the generation prompt text, including the live indexed-field list and theORDER BYindex-rule substitution/omission rules. It is the only source of index-ruleORDER BYsafety.validate_bydbql: run read-only safety checks and parse-only BydbQL syntax validation. This does not verify group, resource, tag, field, or index-rule existence.list_resources_bydbql: execute a validated BydbQL statement when data retrieval is requested.
What ships with it
3 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.
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.
- yesterday First seen · 40 lines · 71 tokens per session scan A 8eeff12fc08b
bydbql is a skill published in the GitHub repository apache/skywalking-banyandb (350 stars, last pushed today), licensed Apache-2.0. It adds 71 tokens to every session and 798 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
migrate-state-management
Migrate Redux or React Context to the correct state option (React Query for server state, nuqs for URL/shareable state, Zustand for global client state). Use when refactoring away from Redux/Context, moving state to the right store, or when the user asks to migrate state management.
datadog
Full-stack observability with Datadog APM, logs, metrics, synthetics, and RUM. Use when implementing monitoring, tracing, alerting, or cost optimization for production systems.
数据模型文档生成
当用户要生成或更新 Doris 表的数据模型 Markdown（三一级标题：数据摘要、数据表列、JSON扩展字段）、从 Doris 拉取元数据与至少 100 行样本，并由脚本或 --llm 补全说明时启用。.
datamodel-gen
生成三个一级标题内容：基本信息、数据字段、使用示例 1.基本信息包括： 数据名称、原始路径(OpenClaw原始数据来源)、数据内容、数据库、数据表、用途定位、应用场景， 表格形式展示 2.数据字段包括两个子标题：数据表列和JSON扩展字段.
review-logging-patterns
Review code for logging patterns and suggest evlog adoption. Optionally use @evlog/cli (evlog init to wire evlog, evlog agents to write the conventions into AGENTS.md, evlog map to score entry-point coverage, --baseline to gate regressions in CI) on Nuxt, Nitro, Next.js, TanStack Start, and Hono. Guides setup on those…
build-audit-logs
Build or review audit trails in TypeScript/JavaScript apps using evlog (pipelines, typed actions, denials, retention, compliance-style reviews). For application code, not for extending the evlog package.