Borrowing it
Nothing to install: this file belongs to AsiaOstrich/EngramGraph. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/AsiaOstrich/EngramGraph/main/.agents/skills/observability-assistant/SKILL.mdgit clone --depth 1 https://github.com/AsiaOstrich/EngramGraphWrote 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/asiaostrich/engramgraph/observability-assistant)<a href="https://agentmods.dev/skills/asiaostrich/engramgraph/observability-assistant"><img src="https://agentmods.dev/badge/skills/asiaostrich/engramgraph/observability-assistant/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/asiaostrich/engramgraph/observability-assistant"><img src="https://agentmods.dev/badge/skills/asiaostrich/engramgraph/observability-assistant.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 | $0.00077 | $0.01681 |
| Opus 5.5 | $0.00031 | $0.00672 |
| Sonnet 5.5 | $0.00015 | $0.00336 |
| Haiku 4.5 | $0.00008 | $0.00168 |
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 14d 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 — 128 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Observability Assistant | 可觀測性助手
Language: English | 繁體中文
Version: 1.0.0 Last Updated: 2026-06-19 Applicability: Claude Code Skills
Core Standard: This skill implements Observability Standards. For the authoritative methodology (full Metrics/Traces detail, sampling, OTel integration), refer to the core standard.
Guide observability implementation across the three pillars: Logs, Metrics, and Traces.
引導三支柱可觀測性實作：Logs、Metrics、Traces。
Capabilities | 功能
| Capability | Description | 說明 |
|---|---|---|
| Instrumentation Check | Pre-launch observability checklist | 上線前可觀測性檢查表 |
| Maturity Assessment | L0-L4 maturity self-evaluation | L0-L4 成熟度自評 |
| Metric Design | Help design metrics (type, naming, labels) | 協助設計 Metrics |
| Alert Design | Design SLO-based alerts with noise reduction | 設計 SLO-based 告警 |
| Golden Signals | Verify 4 golden signals coverage | 驗證四大黃金信號覆蓋 |
Usage | 使用方式
/observability # Show observability guide
/observability --checklist # Run instrumentation checklist
/observability --maturity # Maturity assessment (L0-L4)
/observability --alerting # Alert design guide
/observability "payment-service" # Guide for specific service
Three Pillars Framework | 三支柱框架
Each pillar gives a different lens; their power is in correlation.
| Pillar | What It Captures | When to Use | Granularity |
|---|---|---|---|
| Logs | Discrete events with context | Debugging, audit trails, error details | High (per-event) |
| Metrics | Numerical measurements over time | Dashboards, alerting, capacity planning | Low (aggregated) |
| Traces | Request flow across services | Latency analysis, dependency mapping | Medium (per-request) |
Correlation fields: trace_id links Logs ↔ Traces ↔ Metrics (via Exemplars);
service.name filters all three pillars. Workflow: metric anomaly → exemplar →
trace → trace_id in logs.
What ships with it
1 file 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.
- 14d ago First seen · 128 lines · 77 tokens per session scan A 07f0e7a059ed
observability is a skill published in the GitHub repository AsiaOstrich/EngramGraph (3 stars, last pushed today), licensed MIT. It adds 77 tokens to every session and 1,681 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-10-16.
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