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 commands/nitinjain999/platform-skills/observabilitygit clone --depth 1 https://github.com/nitinjain999/platform-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/commands/nitinjain999/platform-skills/observability)<a href="https://agentmods.dev/commands/nitinjain999/platform-skills/observability"><img src="https://agentmods.dev/badge/commands/nitinjain999/platform-skills/observability.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 5.1 | $0.00041 | $0.02419 |
| Opus 5 | $0.00020 | $0.01210 |
| Sonnet 5 | $0.00008 | $0.00484 |
| Haiku 4.5 | $0.00004 | $0.00242 |
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 6d 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 — 207 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Set up or improve observability for a service or platform component.
Interactive Wizard (fires when no arguments are provided)
When invoked with no arguments, ask before proceeding:
Q1 — Mode?
What do you need?
1. instrument — add structured logs, Prometheus metrics, and OTel tracing to a service
2. dashboard — create a Grafana RED/USE dashboard for a service
3. alert — write Prometheus alerting rules for a service
4. slo — define SLIs, error budgets, and SLO burn-rate alerts
5. loadtest — write and run a k6 load test
6. capacity — estimate resource requirements and HPA configuration
Enter 1–6 or mode name:
Q2 — Context (after mode selected):
- instrument:
What language/framework and which metrics/tracing backend (Prometheus, Datadog, Jaeger, Tempo)? - dashboard:
Service name and which signal to lead with — request-based (RED) or resource-based (USE)? - alert:
Service name and what SLIs matter most — error rate, latency, availability? - slo:
Service name, expected availability target (e.g. 99.9%), and current p95 latency baseline: - loadtest:
Target endpoint, expected peak RPS, and SLO thresholds (p95 latency, max error rate): - capacity:
Expected peak RPS, measured p99 latency at current load, and memory per pod:
Mode: instrument
Add the three pillars — logs, metrics, traces — to a service.
Steps:
- Ask for: language/framework, existing logging library (if any), metrics backend (Prometheus / Datadog / CloudWatch), tracing backend (Jaeger / Tempo / OTLP)
- Add structured JSON logging with correlation IDs (Pino for Node.js, structlog for Python)
- Instrument RED metrics:
http_requests_totalcounter,http_request_duration_secondshistogram, per route and status - Add OpenTelemetry tracing with span attributes on critical paths
- Expose
/metricsscrape endpoint (Prometheus) or configure push exporter - Add
/healthzand/readyzhealth check endpoints - Document what NOT to log (passwords, tokens, PII)
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.
- 6d ago First seen · 207 lines · 41 tokens per session scan A f31d9b273e42
observability is a command published in the GitHub repository nitinjain999/platform-skills (41 stars, last pushed 5d ago), licensed Apache-2.0. It adds 41 tokens to every session and 2,419 once invoked, about $0.0002 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.
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conjure
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conjure-mcp
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conjure-help
Show help for the conjure toolkit — all commands, argument syntax, update modes, and decision guide. Use when you want to know which conjure command to use or how any conjure command works.