projects

A guide for adding LaunchDarkly projects to a codebase. It considers the application's technology stack and architecture before suggesting an integration approach.

In plain words
What is it for?
Use it to assess your stack, choose an approach, and plan project-management integration for your architecture.
Why use it?
It helps avoid adopting a project setup that does not fit how the application is built and managed.

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

Made for: Claude Code, Codex.

Per session 37 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,138 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 $0.00037 $0.02138
Opus 5 $0.00018 $0.01069
Sonnet 5 $0.00007 $0.00428
Haiku 4.5 $0.00004 $0.00214

Measured 2d ago against content hash 779e0b0e56ac, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade B, and why

projects 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 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.

Reads agent configuration directoriesmediumAgent snooping

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

2. **Check MCP config**: If using Claude, read `~/.claude/config.json` 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.

1. **Fetch to confirm it exists.** Prefer the MCP `get-project` tool over raw `curl` — it returns a typed object you can inspect directly. If you must call the REST API:
skills/agentcontrol/projects/SKILL.md · 245 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 · 245 lines · 37 tokens per session scan B 779e0b0e56ac

Subscribe to this mod's changes

projects is a skill published in the GitHub repository launchdarkly/ai-tooling (25 stars, last pushed yesterday), with no licence file. It adds 37 tokens to every session and 2,138 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.

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