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.
git clone --depth 1 https://github.com/golid-ai/golidWrote 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/rules/golid-ai/golid/observability)<a href="https://agentmods.dev/rules/golid-ai/golid/observability"><img src="https://agentmods.dev/badge/rules/golid-ai/golid/observability/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/rules/golid-ai/golid/observability"><img src="https://agentmods.dev/badge/rules/golid-ai/golid/observability.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00000 | $0.00444 |
| Opus 5.5 | $0.00000 | $0.00178 |
| Sonnet 5.5 | $0.00000 | $0.00089 |
| Haiku 4.5 | $0.00000 | $0.00044 |
Grade A, and why
observability 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.
What it actually says
Observability Patterns
Thesis: Metrics and tracing are opt-in via env vars. Zero overhead when disabled. Label cardinality stays under 100 unique sets.
Reference files: observability/tracer.go and observability/metrics.go.
Opt-In via Environment Variables
OTEL_ENDPOINT— set to enable distributed tracing (e.g.,localhost:4317for local collector)METRICS_ENABLED=true— enables Prometheus/metricsendpoint- Both are no-op when unset — zero overhead in development
Adding a New Metric
Register in observability/metrics.go using promauto:
var MyNewCounter = promauto.NewCounterVec(prometheus.CounterOpts{
Name: "my_new_counter_total",
Help: "Description of what this counts.",
}, []string{"label1", "label2"})
Naming conventions:
- snake_case
- Units in the name:
_seconds,_bytes,_total - Counters end with
_total
Label cardinality:
- Use
c.Path()(route pattern like/api/v1/me) NOTc.Request().URL.Path(actual URL like/api/v1/users/abc123) - Never use user IDs, request IDs, or other high-cardinality values as labels
- Keep label combinations under ~100 unique sets
Adding a Trace Span
The OTel middleware automatically creates spans for every HTTP request. For sub-operations:
import "go.opentelemetry.io/otel"
tracer := otel.Tracer("service-name")
ctx, span := tracer.Start(ctx, "operation-name")
defer span.End()
Current Metrics
http_requests_total— counter (method, path, status)http_request_duration_seconds— histogram (method, path)active_sse_connections— gauge (no labels)
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 First seen · 57 lines · 444 tokens per session scan A 91bc3d4f10b3
observability is a cursor rule published in the GitHub repository golid-ai/golid (40 stars, last pushed 3mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 444 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.
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