A telemetry pipeline that records resource use and diagnostic events for each stage of a process. Telemetry means structured information about how a system runs, such as CPU, memory, and input/output activity.

Use it to measure pipeline stages, create JSON or text end-of-run reports, and configure thresholds that warn during continuous integration (CI).

It brings performance measurements and validation problems into one report, making slow stages and unusual resource use easier to spot.

telemetry — Skill by docxology

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/docxology/template/telemetry

Any agent

npx skills add docxology/template --skill telemetry

Clone the repo

git clone --depth 1 https://github.com/docxology/template

Made for: Claude Code, Codex.

Per session 31 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 445 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. Scan, not verified.

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.

Model	Per session	Once invoked
Fable 5	$0.00031	$0.00445
Opus 5	$0.00015	$0.00222
Sonnet 5	$0.00006	$0.00089
Haiku 4.5	$0.00003	$0.00044

Measured 2d ago against content hash 3f2ecaafde58, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

telemetry 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.

The scan reads SKILL.md. This mod also ships 5 executable files (__init__.py, collector.py, config.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

infrastructure/core/telemetry/SKILL.md · 60 lines

What it actually says

Telemetry SKILL

This module provides unified pipeline telemetry for the infrastructure layer. It bridges StagePerformanceTracker resource metrics with DiagnosticReporter validation events into a single TelemetryCollector.

When to Use

When you need to instrument pipeline stage execution with resource tracking
When you want a structured end-of-run report combining performance + diagnostics
When configuring telemetry thresholds for CI warning detection

API Surface

Symbol	Type	Purpose
`TelemetryConfig`	dataclass	Configuration with YAML-loadable `from_dict()`
`TelemetryCollector`	class	Main lifecycle: `start_stage()` → `end_stage()` → `finalize()`
`StageTelemetry`	dataclass	Per-stage record
`PipelineTelemetry`	dataclass	Full report with warnings
`PerformanceWarning`	dataclass	Individual anomaly record

Files

What ships with it

7 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.

2d ago First seen · 60 lines · 31 tokens per session scan A 3f2ecaafde58

Subscribe to this mod's changes

telemetry is a skill published in the GitHub repository docxology/template (19 stars, last pushed 2d ago), licensed Apache-2.0. It adds 31 tokens to every session and 445 once invoked, about $0.0002 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 2026-08-30.

Analytics and metrics LaTeX agents-md ai-agents claude-code computational-research cursor diagnostics monitoring performance pipeline telemetry

applicationinsights-setup

Sets up, migrates, or enhances Azure Monitor Application Insights in .NET applications. Detects application type and existing instrumentation automatically. Use when adding Application Insights, Azure Monitor, observability, or telemetry to ASP.NET Core, Worker Service, ASP.NET Classic, or Console apps, upgrading from…

microsoft/ApplicationInsights-dotnet · 103 tokens

planning-with-files

Manus-style persistent file-based planning for AI coding agents: keeps taskplan.md, findings.md, and progress.md on disk so work survives context loss and /clear. Use when asked to plan out, break down, or organize a multi-step project, research task, or any work requiring 5+ tool calls. Supports automatic session…

mxyhi/ok-skills · 76 tokens

telemetry

Getting it into your agent

What it costs to keep this loaded

Grade A, and why

Nothing flagged

What it actually says

Telemetry SKILL

When to Use

API Surface

What ships with it

What this file has done since we first saw it

Other skills, from other repositories

applicationinsights-setup

planning-with-files

exa-search

Website Audit

ontoly-software-graph

API Rate Limiting Testing