App: Skill for Claude Code

.claude/skills/measure-telemetry-span/SKILL.md

measure-telemetry-span is a skill for Claude Code from Expensify/App. It costs 29 tokens per session (2,343 once invoked), scanned A, original, MIT.

A measurement workflow for timing a Sentry performance span on an iOS simulator or Android emulator.

In plain words
What is it for?
Use it to replay tagged test flows and report average, minimum, maximum, and individual timing samples for a named span.
Why use it?
It provides repeatable local timing results without changing the Git branch, making performance comparisons easier.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: reads .claude/ paths.

This is Expensify/App's own configuration. It tells Claude Code how to work on App itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything App configures →

About the project

Expensify/App is the source code for New Expensify, a financial collaboration application organized around chat. It is used by contributors building and testing the web, iOS, and Android versions of the application. Catalogue add-ons support development workflows such as mobile testing and agent-assisted work on the codebase.

Expensify/App · 5,081 stars · on GitHub · new.expensify.com

Reuse

Borrowing it

Nothing to install: this file belongs to Expensify/App. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/Expensify/App/main/.claude/skills/measure-telemetry-span/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/Expensify/App

Made for: Claude Code.

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 measure-telemetry-span

README.md
[![agentmods](https://agentmods.dev/badge/skills/expensify/app/measure-telemetry-span/github.svg)](https://agentmods.dev/skills/expensify/app/measure-telemetry-span)
Your own site
<a href="https://agentmods.dev/skills/expensify/app/measure-telemetry-span"><img src="https://agentmods.dev/badge/skills/expensify/app/measure-telemetry-span/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 measure-telemetry-span

Your own site · 80×15
<a href="https://agentmods.dev/skills/expensify/app/measure-telemetry-span"><img src="https://agentmods.dev/badge/skills/expensify/app/measure-telemetry-span.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 29 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,343 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 warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Agent Snooping · line 57
    Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.
    Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
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 $0.00029 $0.02343
Opus 5.5 $0.00012 $0.00937
Sonnet 5.5 $0.00006 $0.00469
Haiku 4.5 $0.00003 $0.00234

Measured 1mo ago against content hash ffe1721bbc30, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

measure-telemetry-span 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.

The scan reads SKILL.md. This mod also ships 3 executable files (measure.sh, scripts/replay-with-deadline.mjs, scripts/replay-with-deadline.test.mjs), 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.

.claude/skills/measure-telemetry-span/SKILL.md · 113 lines

How it starts

The opening of the file, as written. The whole thing — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Measure Telemetry Span

Pattern: from repo root, run one command with a span name and platform → stdout is a small summary table (avg / min / max + sample ms list). The script measures whatever Git checkout is currently active: it never runs git checkout or otherwise switches branches. To compare this branch with main (or any other revision), check out each commit/branch in turn—or use two worktrees/clones—and run measure.sh separately, then compare the two printed summaries.

Layout

measure-telemetry-span/
├── measure.sh                        # the runner
├── flows/                            # one .ad flow per measured journey
└── scripts/replay-with-deadline.mjs  # wall-clock deadline around `agent-device replay`

Each flow under flows/ declares the spans it owns with # @span <SpanName> and names the span the runner looks up. Flows here do not own application lifecycle, so they are not inputs for agent-device test; the runner opens the app and prepares the session.

Setup and navigation helpers live in .claude/skills/agent-device/flows/macros/, and @reset headers point at them. The .ad metadata spec, selector rules, and recording workflow live in agent-device/flows/README.md — read it before adding or healing a flow here.

Command

.claude/skills/measure-telemetry-span/measure.sh <span-name> [runs] [platform] [--boot]
Argument Default Description
<span-name> — Must match # @span <span-name> on a flow under .claude/skills/measure-telemetry-span/flows/.
[runs] 10 Measured replays after one warmup inside the script.
[platform] ios ios or android — must match the simulator/emulator you use.
--boot off Before open, runs agent-device boot --platform <platform> so a simulator/emulator is started when nothing was connected (adb devices empty, etc.).

Read the full file on GitHub · 113 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 Changed · +43 lines ffe1721bbc30
  2. 2mo ago First seen · 70 lines · 29 tokens per session scan A 5c6714c57cd3

Subscribe to this mod's changes

measure-telemetry-span is a skill published in the GitHub repository Expensify/App (5,081 stars, last pushed today), licensed MIT. It adds 29 tokens to every session and 2,343 once invoked, about $0.0001 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 2026-08-30.

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