telemetry-foundations

telemetry-foundations is a skill for Claude Code, Codex from microsoft/hve-core. It costs 27 tokens per session (2,094 once invoked), scanned A, original, MIT.

A shared vocabulary for naming and describing traces, metrics, logs, and personal-data handling. OpenTelemetry is a set of common observability standards for recording what software is doing.

In plain words
What is it for?
It is for planning or reviewing application telemetry, observability, monitoring, audit logs, and traceability.
Why use it?
It helps different agents and monitoring systems describe operational data consistently and avoid unclear names or uncontrolled metric detail.

Skill for Claude CodeCodex ✓ vendor

Written for no agent in particular: nothing here depends on one.

Good fit It is for planning or reviewing application telemetry, observability, monitoring, audit logs…

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Install with agentmods
npx agentmods add skills/microsoft/hve-core/telemetry-foundations
About the project

HVE Core is a collection of agents, prompts, coding instructions, and skills for building repeatable software-development workflows with GitHub Copilot. It is intended for individuals and teams that want structured AI-assisted research, planning, implementation, and review, while the catalogue entries provide many of its reusable workflow components.

microsoft/hve-core · 1,436 stars · on GitHub

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 microsoft/hve-core --skill telemetry-foundations
Clone the repo
git clone --depth 1 https://github.com/microsoft/hve-core

Made for: Claude Code, Codex.

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 telemetry-foundations

README.md
[![agentmods](https://agentmods.dev/badge/skills/microsoft/hve-core/telemetry-foundations.svg)](https://agentmods.dev/skills/microsoft/hve-core/telemetry-foundations)
Your own site
<a href="https://agentmods.dev/skills/microsoft/hve-core/telemetry-foundations"><img src="https://agentmods.dev/badge/skills/microsoft/hve-core/telemetry-foundations.svg" alt="Measured on agentmods" height="20"></a>
Per session 27 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,094 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.
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 $0.00027 $0.02094
Opus 5 $0.00014 $0.01047
Sonnet 5 $0.00005 $0.00419
Haiku 4.5 $0.00003 $0.00209

Measured 3d ago against content hash 89008ec22d1b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

telemetry-foundations 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 3d 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.

.github/skills/shared/telemetry-foundations/SKILL.md · 172 lines

How it starts

The opening of the file, as written. The whole thing — 172 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Telemetry Foundations

Overview

A shared vocabulary for observability across HVE Core agents. This skill describes what telemetry data exists and how it is named, not which SDK or vendor to use. Agents producing planning artifacts (ADRs, PRDs, security/RAI plans, code-review reports) and agents producing user-facing application code reference this skill so that downstream pipelines (traces, metrics, logs) speak a consistent OpenTelemetry-aligned language.

When to Apply

Apply this skill in the following situations:

  • Any agent producing user-facing application code that emits spans, metrics, or structured logs.
  • Architecture Decision Records that touch observability, monitoring, or audit logging.
  • Code-review reports that flag telemetry gaps, inconsistent span naming, or unbounded metric cardinality.
  • Security or Responsible AI plans that cite audit logs, traceability, or evidence chains.
  • Product or business requirement documents that specify success metrics expressed as service telemetry.

Core Principles

The vocabulary in this skill follows five principles:

  • Declarative, not prescriptive. Define the names and shapes; leave the choice of SDK, exporter, and backend to the implementing team.
  • OpenTelemetry-aligned. Trace, metric, and log models follow the OTel data model so artifacts remain portable.
  • Semantic conventions first. Where an OTel semantic convention exists for a domain (HTTP, RPC, database, messaging, GenAI, FaaS), prefer it over a bespoke attribute.
  • PII by denylist. Treat PII as default-deny via the denylist in references/pii-denylist.md; any field listed there requires an explicit redaction strategy before it can be emitted.
  • Vendor-agnostic. Avoid coupling vocabulary to a single backend; OTLP is the assumed wire protocol.

Trace Vocabulary

Spans describe a unit of work and its causal relationship to other work.

Span kinds:

  • server - inbound request handled by this service.
  • client - outbound request issued by this service.
  • producer - asynchronous message published to a queue or topic.
  • consumer - asynchronous message received from a queue or topic.
  • internal - in-process operation with no remote peer.

Read the full file on GitHub · 172 lines

Files

What ships with it

2 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. 3d ago First seen · 172 lines · 27 tokens per session scan A 89008ec22d1b

Subscribe to this mod's changes

telemetry-foundations is a skill published in the GitHub repository microsoft/hve-core (1,436 stars, last pushed yesterday), licensed MIT. It adds 27 tokens to every session and 2,094 once invoked, about $0.0001 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 2026-09-03.

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