first-flag

A setup helper for creating a boolean feature flag, which is an on-or-off setting used to control code behaviour. It adds an evaluation and switches the flag on or off to verify the complete setup.

In plain words
What is it for?
Use it during LaunchDarkly onboarding to create and test a first on-or-off flag using the available LaunchDarkly connection or command-line tool.
Why use it?
It provides a small end-to-end check that the feature-flag connection works before you rely on it in a project.

Skill for Claude CodeCodex

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

Made for: Claude Code, Codex.

Per session 42 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,057 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. 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 $0.00042 $0.04057
Opus 5 $0.00021 $0.02028
Sonnet 5 $0.00008 $0.00811
Haiku 4.5 $0.00004 $0.00406

Measured 2d ago against content hash 12fa4a0a98d7, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

first-flag scanned grade A with 1 finding 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.

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.

Makes network callslowCapability

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

**REST / curl auth:** Use `$LAUNCHDARKLY_ACCESS_TOKEN` as the `Authorization` header value (LaunchDarkly uses the raw token, no `Bearer` prefix). The shell expands the variable but doesn't log it.
skills/onboarding/first-flag/SKILL.md · 383 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. 2d ago First seen · 383 lines · 42 tokens per session scan A 12fa4a0a98d7

Subscribe to this mod's changes

first-flag is a skill published in the GitHub repository launchdarkly/ai-tooling (25 stars, last pushed yesterday), with no licence file. It adds 42 tokens to every session and 4,057 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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