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 skills add SigNoz/agent-skills --skill signoz-writing-clickhouse-queriesgit clone --depth 1 https://github.com/SigNoz/agent-skillsWrote 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/signoz/agent-skills/signoz-writing-clickhouse-queries)<a href="https://agentmods.dev/skills/signoz/agent-skills/signoz-writing-clickhouse-queries"><img src="https://agentmods.dev/badge/skills/signoz/agent-skills/signoz-writing-clickhouse-queries/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/signoz/agent-skills/signoz-writing-clickhouse-queries"><img src="https://agentmods.dev/badge/skills/signoz/agent-skills/signoz-writing-clickhouse-queries.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 | $0.00131 | $0.01075 |
| Opus 5 | $0.00066 | $0.00537 |
| Sonnet 5 | $0.00026 | $0.00215 |
| Haiku 4.5 | $0.00013 | $0.00108 |
Grade A, and why
signoz-writing-clickhouse-queries 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 12d 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 — 117 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Writing ClickHouse Queries for SigNoz Dashboards
When to Use
Use this skill when the user asks for SigNoz queries involving:
- Logs: severity, body text, log volume, structured fields, containers, services, or environments.
- Traces: spans, latency, duration, p95 or p99, HTTP operations, DB operations, or error spans.
- Dashboard panels: timeseries charts, value widgets, and table breakdowns.
If the user asks for a dashboard panel but does not mention ClickHouse, still use this skill.
Signal Detection
Identify whether the request is about logs or traces.
- Logs: log lines, severity, body text, log volume, container logs, or structured log fields.
- Traces: spans, latency, duration, p99, trace analysis, HTTP operations, DB operations, or error spans.
If the request is ambiguous, ask the user to clarify.
Reference Routing
- Logs: read
references/clickhouse-logs-reference.mdbefore writing any query. - Traces: read
references/clickhouse-traces-reference.mdbefore writing any query.
Each reference covers table schemas, optimization patterns, attribute access syntax, dashboard templates, query examples, and a validation checklist.
Quick Reference
- Timeseries panel: return rows of
(ts, value)for a chart over time. - Value panel: return a single
valuefor a stat or counter widget. - Table panel: return labelled columns for a grouped breakdown.
Key Variables by Signal
Logs
- Timestamp type:
UInt64in nanoseconds. - Time filter:
$start_timestamp_nanoand$end_timestamp_nano. - Bucket filter:
$start_timestampand$end_timestamp. - Display conversion:
fromUnixTimestamp64Nano(timestamp). - Main table:
signoz_logs.distributed_logs_v2. - Resource table:
signoz_logs.distributed_logs_v2_resource.
Traces
- Timestamp type:
DateTime64(9). - Time filter:
$start_datetimeand$end_datetime. - Bucket filter:
$start_timestampand$end_timestamp. - Display conversion: use the timestamp directly.
- Main table:
signoz_traces.distributed_signoz_index_v3. - Resource table:
signoz_traces.distributed_traces_v3_resource.
What ships with it
2 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.
- 12d ago First seen · 117 lines · 131 tokens per session scan A e4cae046f382
signoz-writing-clickhouse-queries is a skill published in the GitHub repository SigNoz/agent-skills (16 stars, last pushed 10d ago), licensed MIT. It adds 131 tokens to every session and 1,075 once invoked, about $0.0007 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 2026-08-30.
Other skills, from other repositories
deprecation-and-migration
Manages deprecation and migration. Use when removing old systems, APIs, or features. Use when migrating users from one implementation to another. Use when migrating a database schema in production, such as renaming or dropping a column without downtime (expand/contract). Use when deciding whether to maintain or sunset…
awesome-database-audit
Read-only audit of a database layer — schema anti-patterns (EAV, generic keys, imprecise types), query and index fit (SELECT , N+1, unindexable predicates), integrity and concurrency, migration and tenancy hygiene — with evidence per finding and a SHIP / FIX / BLOCK verdict. Use when asked to audit the database…
setting-up-wide-events-store
Use when a human asks to set up, deploy, or finish deploying the bundled Wide Events DuckDB store (the Kamal accessory that receives production telemetry). Covers the store generator, DNS, kamal setup, and post-deploy verification end to end.
reopt-eav
EAV schema status, sync, pull, diff, file-based migrations (plan/migrate/history/verify), record inspection and pruning (eav records list/get/count/delete-where), and destructive-change guardrails for reopt Brandapp projects. Use when a task involves reopt brandapp eav status, sync, pull, diff, plan, migrate, history…
data-engineering
Guides data pipeline design, ETL/ELT workflows, schema evolution, and data quality assurance. Use when building data pipelines, designing data warehouses, migrating schemas, or ensuring data integrity across systems. Use when you need reliable, testable, and observable data flows.
postgres-ops
Operate a production Postgres database — backup strategy, point-in-time recovery, restore drills, connection pooling for serverless, and a disaster-recovery runbook. Use when asked to set up Postgres backups, plan disaster recovery, configure connection pooling, restore a database, or harden Postgres for production.…