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.
npx agentmods add skills/launchdarkly/ai-tooling/mcp-configurenpx skills add launchdarkly/ai-tooling --skill mcp-configuregit clone --depth 1 https://github.com/launchdarkly/ai-toolingWrote 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.
[](https://agentmods.dev/skills/launchdarkly/ai-tooling/mcp-configure)<a href="https://agentmods.dev/skills/launchdarkly/ai-tooling/mcp-configure"><img src="https://agentmods.dev/badge/skills/launchdarkly/ai-tooling/mcp-configure.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00067 | $0.02505 |
| Opus 5 | $0.00034 | $0.01252 |
| Sonnet 5 | $0.00013 | $0.00501 |
| Haiku 4.5 | $0.00007 | $0.00250 |
Grade A, and why
mcp-configure 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 today.
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.
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.
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.
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.
- today Changed · +32 lines · +3 tokens per session 3880d36c50a7
- 4d ago First seen · 126 lines · 64 tokens per session scan A 35725ac16ce0
mcp-configure is a skill published in the GitHub repository launchdarkly/ai-tooling (25 stars, last pushed today), with no licence file. It adds 67 tokens to every session and 2,505 once invoked, about $0.0003 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.
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…
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.
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
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.
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.
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.