mcaf-observability

A guide to observability, the logs, measurements, traces, and alerts that show what an application is doing and why it failed.

In plain words
What is it for?
It helps instrument important user or system flows, define success and failure signals, improve alerts, and verify that operators can investigate incidents.
Why use it?
It helps teams detect problems and diagnose them when runtime information is missing, vague, or disconnected.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/managedcode/mcpgateway/mcaf-observability
Any agent
npx skills add managedcode/MCPGateway --skill mcaf-observability
Clone the repo
git clone --depth 1 https://github.com/managedcode/MCPGateway

Made for: Claude Code, Codex.

Per session 50 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 837 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 91% copy Near-identical to another mod 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.

ModelPer sessionOnce invoked
Fable 5 $0.00050 $0.00837
Opus 5 $0.00025 $0.00418
Sonnet 5 $0.00010 $0.00167
Haiku 4.5 $0.00005 $0.00084

Measured 2d ago against content hash a1a8b5956956, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

mcaf-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 2d 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.

Origin

This is a copy

91% identical to mcaf-observability — 21 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.codex/skills/mcaf-observability/SKILL.md · 99 lines

How it starts

The opening of the file, as written. The whole thing — 99 lines — stays where its author put it; the contents beside it link to each section on GitHub.

MCAF: Observability

Trigger On

  • a change affects runtime visibility or failure diagnosis
  • logs, metrics, traces, or alerts are missing or vague
  • the team cannot answer "how will we know this broke?"

Value

  • produce a concrete project delta: code, docs, config, tests, CI, or review artifact
  • reduce ambiguity through explicit planning, verification, and final validation skills
  • leave reusable project context so future tasks are faster and safer

Do Not Use For

  • feature behaviour work with no runtime visibility impact
  • generic monitoring talk with no concrete flow to instrument

Inputs

  • the critical user or system flow under change
  • current logs, metrics, traces, dashboards, and alerts
  • operator expectations for diagnosis and response

Quick Start

  1. Read the nearest AGENTS.md and confirm scope and constraints.
  2. Run this skill's Workflow through the Ralph Loop until outcomes are acceptable.
  3. Return the Required Result Format with concrete artifacts and verification evidence.

Workflow

  1. Identify the critical user or system flow that needs visibility.
  2. Define what must be observable:
    • success and failure
    • latency and throughput
    • correlation across boundaries
    • actionable alerting
  3. Treat observability as part of done, not an afterthought.
  4. Load only the references that match the affected runtime concern.

Deliver

  • observability requirements for the changed flow
  • updated logging, metrics, traces, or alerting guidance
  • clear operator and engineer visibility expectations

Validate

  • a failure can be detected and diagnosed from the chosen signals
  • alerts are actionable, not noise
  • cross-boundary correlation is possible where the flow needs it
  • the observability plan matches user impact and operator needs

Ralph Loop

Use the Ralph Loop for every task, including docs, architecture, testing, and tooling work.

  1. Plan first (mandatory):
    • analyze current state
    • define target outcome, constraints, and risks
    • write a detailed execution plan
    • list final validation skills to run at the end, with order and reason
  2. Execute one planned step and produce a concrete delta.
  3. Review the result and capture findings with actionable next fixes.
  4. Apply fixes in small batches and rerun the relevant checks or review steps.
  5. Update the plan after each iteration.
  6. Repeat until outcomes are acceptable or only explicit exceptions remain.
  7. If a dependency is missing, bootstrap it or return status: not_applicable with explicit reason and fallback path.

Read the full file on GitHub · 99 lines

Files

What ships with it

6 files 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.

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.

  1. 2d ago First seen · 99 lines · 50 tokens per session scan A a1a8b5956956

Subscribe to this mod's changes

mcaf-observability is a skill published in the GitHub repository managedcode/MCPGateway (5 stars, last pushed 2d ago), licensed MIT. It adds 50 tokens to every session and 837 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 91% identical to mcaf-observability, differing in 21 lines, and is treated as a copy.