Documentation rules for Klag's public metrics, including measurements of Kafka consumer lag, commit freshness, group state, and partition health.

Use them when adding or changing a metric so the collector, tests, documentation, dashboards, and relevant Helm files are updated together.

They help keep metric names, labels, tests, dashboards, and deployment documentation consistent when metrics change.

metrics — Cursor rule for Cursor by themoah/klag

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.

Clone the repo

git clone --depth 1 https://github.com/themoah/klag

Made for: Cursor.

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.

README.md

[![agentmods](https://agentmods.dev/badge/rules/themoah/klag/metrics/github.svg)](https://agentmods.dev/rules/themoah/klag/metrics)

Your own site

<a href="https://agentmods.dev/rules/themoah/klag/metrics"><img src="https://agentmods.dev/badge/rules/themoah/klag/metrics/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.

Your own site · 80×15

<a href="https://agentmods.dev/rules/themoah/klag/metrics"><img src="https://agentmods.dev/badge/rules/themoah/klag/metrics.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 0 Nothing until a file matches its globs; then the whole rule loads.

When invoked 412 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

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.

Model	Per session	Once invoked
Fable 5.1	$0.00000	$0.00412
Opus 5.5	$0.00000	$0.00165
Sonnet 5.5	$0.00000	$0.00082
Haiku 4.5	$0.00000	$0.00041

Measured 1mo ago against content hash dca2a1fabb73, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

metrics 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 1mo 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.

.cursor/rules/metrics.mdc · 38 lines

What it actually says

Metrics

Public API — names and tags are stable contracts.

Core metrics

klag.consumer.lag[.sum/.max/.min] — per partition; aggregates per consumer_group+topic
klag.consumer.lag.velocity — msg/sec × 100
klag.consumer.lag.ms — time lag; per-partition + topic rollup ({partition=""} / {partition!=""})
klag.consumer.lag.time_to_close_seconds — consumer_group+topic only
klag.consumer.lag.retention_percent — DLP; same partition rollup pattern as lag.ms
klag.consumer.commit.staleness_seconds — inferred commit freshness; only while lag > 0
klag.consumer.group.state — state as tag; two-phase stale-gauge cleanup on transitions
klag.partition.under_replicated, klag.hot_partition[.lag] — partition-level; conditional emission
klag.topic.size_skew — topic-level max/mean retained-size ratio × 100; opt-in via DATA_SKEW_ENABLED (default false)

Member labels (member_host, consumer_id, client_id) on per-partition consumer metrics when CONSUMER_MEMBER_LABELS_ENABLED=true (default).

When adding or changing a metric

Update all of:

Collector/reporter code + tests
CLAUDE.md and README.md metric sections
dashboard/demo-dashboard.json (and Grafana.com export if applicable)
Helm chart/README if scrape or ServiceMonitor behavior changes
Website docs under website/src/content/docs/metrics/ when user-facing

Never ship a new metric without a dashboard panel.

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.

1mo ago Changed · +1 lines dca2a1fabb73
1mo ago First seen · 37 lines · 0 tokens per session scan A 9d59d5b8e060

Subscribe to this mod's changes

metrics is a cursor rule published in the GitHub repository themoah/klag (88 stars, last pushed 5d ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 412 tokens. 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.

Analytics and metrics hacktoberfest kafka kafka-consumer monitoring

metrics

Getting it into your agent

Wrote this? Show the measurements

What it costs to keep this loaded

Grade A, and why

Nothing flagged

What it actually says

Metrics

Core metrics

When adding or changing a metric

What this file has done since we first saw it

Other cursor rules, from other repositories

workflow-level3

reflection-basic

rule-calling-guide

rule-calling-help

bsl-method-description

common-fixes