observability-audit SKILL.md skillA
observability-audit from karsten-s-nielsen/mad-scientist-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add karsten-s-nielsen/mad-scientist-skills/observability-audit@git:20260416.d18ed8cPins git:20260416.d18ed8c in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- karsten-s-nielsen/mad-scientist-skills
- Path
plugins/mad-scientist-skills/skills/observability-audit/SKILL.md- Versions recorded
- 3
- Latest version
- git:20260416.d18ed8c, committed Apr 16, 2026
- First version recorded
- Mar 9, 2026
- Size
- 45,124 bytes
- Repository stars
- 3
- License
- MIT
Comprehensive observability audit with two modes and two tiers (beta). Planning mode designs telemetry strategy, SLIs/SLOs, and instrumentation architecture. Audit mode scans code and infrastructure for observability gaps including logging, metrics, tracing, alerting, pipeline monitoring, and ML model drift detection. Each phase has Standard (free/open-source tools, always actionable) and Enterprise (paid observability platforms, aspirational checklist) tiers. Use when asked to…
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Observability Audit A comprehensive observability skill with two modes and two tiers: **Modes:** - **Planning** (before code exists) — telemetry strategy, SLI/SLO design, instrumentation architecture - **Audit** (on existing code) — scanning for observability gaps in logging, metrics, tracing, alerting, pipelines, and ML models **Tiers** (applied within each phase): - **Standard** — free/open-source tools, code-level patterns, OpenTelemetry-native. Always actionable for any developer. - **Enterprise** — paid observability platforms (Datadog, New Relic, Splunk, etc.). Serves as a professional checklist documenting what enterprise teams should implement. **Core question:** "Can you see what your system is doing?" ## When to use this skill - When the user says "observability audit", "check monitoring", "find blind spots", "audit telemetry", "design observability", or "review instrumentation" - Before designing a new system (planning mode) — to define telemetry strategy and SLIs/SLOs early - On an existing codebase (audit mode) — to find and fix observability gaps - Before a production deployment — to validate monitoring and alerting posture …
Read the whole file at its exact version.
How to install
mdr add karsten-s-nielsen/mad-scientist-skills/observability-audit@sha256:83c320a5b5c03336The line at the top of this page pins the label git:20260416.d18ed8c, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_dxdmpteodyevtoz5)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 3 versions of this file, between Mar 9, 2026 and Apr 16, 2026, about one every 19 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260416.d18ed8c latest | 2026-04-16 | d18ed8c | 45,124 B | A | view · diff |
| git:20260329.f91268f | 2026-03-29 | f91268f | 41,729 B | A | view · diff |
| git:20260309.f5470d9 | 2026-03-09 | f5470d9 | 41,501 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (45124 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
karsten-s-nielsen/mad-scientist-skills · 3 stars · license MIT · pushed 2026-10-01 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_dxdmpteodyevtoz5 GET https://markdownregistry.com/api/v1/resolve?ref=karsten-s-nielsen/mad-scientist-skills/observability-audit GET https://markdownregistry.com/api/v1/blob/83c320a5b5c0333602b591a14d12a1a81303d53174d8af5f36e75a1d2b96a022
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.