observability-and-reliability

observability-and-reliability is a skill for Claude Code from cbrock84/headcount. It costs 72 tokens per session (695 once invoked), scanned A, original, MIT.

Guidance for making software easier to monitor, investigate, and operate reliably in production. It covers useful system records, alerts, reliability targets, on-call preparation, and learning from incidents.

In plain words
What is it for?
Use it to add service instrumentation, improve alerting, set reliability targets, prepare on-call practices, or review outages.
Why use it?
It helps teams find unexpected failures and focus alerts on problems users actually experience. It also turns incidents into improvements instead of blame.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the technology plugin — 11 skills shipped together

Good fit Use it to add service instrumentation, improve alerting, set reliability targets, prepare on-call practices, or review outages.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/cbrock84/headcount/observability-and-reliability
About the project

headcount is an organization of independently installable Claude Code plugins, each grouping skills for a department such as finance, security, or demand generation. Claude Code users install the departments they need and invoke their skills for specialized work; the catalogue entries are skills and related agent tooling from that organization.

cbrock84/headcount · 2,077 stars · on GitHub · cbrock84.github.io

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.

Any agent
npx skills add cbrock84/headcount --skill observability-and-reliability
Clone the repo
git clone --depth 1 https://github.com/cbrock84/headcount

Made for: Claude Code.

Or install technology, the plugin that ships this one along with the rest of its 11 skills.

Wrote 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.

agentmods badge for observability-and-reliability

README.md
[![agentmods](https://agentmods.dev/badge/skills/cbrock84/headcount/observability-and-reliability/github.svg)](https://agentmods.dev/skills/cbrock84/headcount/observability-and-reliability)
Your own site
<a href="https://agentmods.dev/skills/cbrock84/headcount/observability-and-reliability"><img src="https://agentmods.dev/badge/skills/cbrock84/headcount/observability-and-reliability/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.

agentmods 80×15 button for observability-and-reliability

Your own site · 80×15
<a href="https://agentmods.dev/skills/cbrock84/headcount/observability-and-reliability"><img src="https://agentmods.dev/badge/skills/cbrock84/headcount/observability-and-reliability.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 72 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 695 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found 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 5.1 $0.00072 $0.00695
Opus 5.5 $0.00029 $0.00278
Sonnet 5.5 $0.00014 $0.00139
Haiku 4.5 $0.00007 $0.00069

Measured 1mo ago against content hash f8fa5c5127ce, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

observability-and-reliability 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.

plugins/technology/skills/observability-and-reliability/SKILL.md · 73 lines

How it starts

The opening of the file, as written. The whole thing — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Observability and reliability

Monitoring tells you a thing you predicted is happening. Observability lets you ask a question you did not anticipate. Production failures are mostly the unanticipated kind.

Instrument for questions you have not thought of yet

Emit structured events with enough context to slice afterwards — request identifiers, user or tenant, version, dependency, outcome, duration. Free-text logs are unsearchable at volume and become expensive noise.

Propagate a correlation identifier across every hop. Without it, a distributed system is a set of independent stories and reconstructing one request is manual archaeology.

Measure what the user experiences at the percentile they experience it. A p50 latency graph is mostly a graph of the people who were not affected.

Alert on symptoms, not causes

Alert when users are affected or imminently will be. High CPU is not an alert; requests failing or slowing is. Cause-based alerting produces pages for conditions the system handled and no page for novel failures that hurt.

Every alert must be actionable, urgent and specific. If the recipient's honest response is to look and close it, delete the alert — it is training the on-call to ignore the page, and the ignored page is eventually the real one.

Alert fatigue is the actual reliability risk in most organizations. Fewer, better alerts beat coverage.

Objectives and error budgets

Set service level objectives from what users need, then treat the remainder as a budget to spend. This converts a sterile argument between shipping and stability into arithmetic: budget remaining means ship, budget exhausted means the next work is reliability.

Keep the internal objective tighter than any external commitment made through operations:service-level-management, so you find out before the customer does.

Learn from incidents

Post-incident review exists to find what made the failure possible and hard to detect, not who touched it last. Human error is a starting question, never the finding: what made the error easy, and why did nothing catch it?

Read the full file on GitHub · 73 lines

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. 1mo ago First seen · 73 lines · 72 tokens per session scan A f8fa5c5127ce

Subscribe to this mod's changes

observability-and-reliability is a skill published in the GitHub repository cbrock84/headcount (2,077 stars, last pushed 2d ago), licensed MIT. It adds 72 tokens to every session and 695 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 2026-09-03.

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