custom-metrics

A tool for managing custom business metrics in configuration systems, from defining metric types to recording events and retrieving results.

In plain words
What is it for?
Use it to define metrics through an API, send metric events through an SDK, and query or update the resulting data.
Why use it?
It keeps metric definitions, measurements, and results in one lifecycle instead of requiring separate manual steps or systems.

Skill for Claude CodeCodex

Part of the launchdarkly plugin — 50 skills, 1 MCP server shipped together

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/launchdarkly/ai-tooling/custom-metrics
Any agent
npx skills add launchdarkly/ai-tooling --skill custom-metrics
Clone the repo
git clone --depth 1 https://github.com/launchdarkly/ai-tooling

Made for: Claude Code, Codex.

Or install launchdarkly, the plugin that ships this one along with the rest of its 50 skills, 1 MCP server.

Per session 39 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,660 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 2 findings. Scan, not verified.
Origin unknown 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 $0.00039 $0.03660
Opus 5 $0.00019 $0.01830
Sonnet 5 $0.00008 $0.00732
Haiku 4.5 $0.00004 $0.00366

Measured 3d ago against content hash 92a1a93565e6, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade B, and why

custom-metrics scanned grade B with 2 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.

Reads agent configuration directoriesmediumAgent snooping

.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.

1. **Check Claude MCP config** - Read `~/.claude/config.json` and look for `mcpServers.launchdarkly.env.LAUNCHDARKLY_API_KEY`

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

response = requests.post(url, json=payload, headers=headers)
skills/agentcontrol/custom-metrics/SKILL.md · 504 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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 · 504 lines · 39 tokens per session scan B 92a1a93565e6

Subscribe to this mod's changes

custom-metrics is a skill published in the GitHub repository launchdarkly/ai-tooling (25 stars, last pushed 2d ago), with no licence file. It adds 39 tokens to every session and 3,660 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it B with 2 findings (reads agent configuration directories, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other skills, from other repositories

agentkit-x402

Use this skill when you receive a 402 Payment Required response that contains an agentkit extension. Covers checking 402 responses for the AgentKit extension before paying, constructing and signing a CAIP-122 challenge (SIWE for EVM), sending the signed agentkit HTTP header, and interpreting access modes (free…

worldcoin/agentkit · 109 tokens

integrate-agentkit

Use this skill when integrating @worldcoin/agentkit into an x402 server or facilitator flow: choose free/free-trial/discount mode, wire payments on any supported EVM chain, handle ExactEvmScheme money parsing, or finish an integration end-to-end.

worldcoin/agentkit · 59 tokens

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

brainstorming

You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.

obra/superpowers · 37 tokens

auto-perf-optimize

Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.

microsoft/vscode · 62 tokens

chat-perf

Run chat perf benchmarks and memory leak checks against the local dev build or any published VS Code version. Use when investigating chat rendering regressions, validating perf-sensitive changes to chat UI, or checking for memory leaks in the chat response pipeline.

microsoft/vscode · 51 tokens