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 skills add Bilal140202/the-lord-of-the-skills --skill agentcontrol-configs-creategit clone --depth 1 https://github.com/Bilal140202/the-lord-of-the-skillsWrote 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/bilal140202/the-lord-of-the-skills/agentcontrol-configs-create)<a href="https://agentmods.dev/skills/bilal140202/the-lord-of-the-skills/agentcontrol-configs-create"><img src="https://agentmods.dev/badge/skills/bilal140202/the-lord-of-the-skills/agentcontrol-configs-create/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.
<a href="https://agentmods.dev/skills/bilal140202/the-lord-of-the-skills/agentcontrol-configs-create"><img src="https://agentmods.dev/badge/skills/bilal140202/the-lord-of-the-skills/agentcontrol-configs-create.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00037 | $0.02956 |
| Opus 5 | $0.00018 | $0.01478 |
| Sonnet 5 | $0.00007 | $0.00591 |
| Haiku 4.5 | $0.00004 | $0.00296 |
Grade A, and why
configs-create 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 6d 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.
**Use `get-ai-config` for the verification call — do not drop to raw `curl` + `jq`.** The MCP tool returns a typed object you can inspect directly. Hand-rolled `jq` filters against the REST response routinely break: the How it starts
The opening of the file, as written. The whole thing — 223 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Create Config
You're using a skill that will guide you through creating a config in LaunchDarkly. Your job is to understand the use case, choose the right mode, create the config and its variations, and verify everything is set up correctly.
⚠️ This skill creates a config — it does not make it servable. A freshly-created config has its fallthrough pointing at an auto-generated disabled variation, not at the variation you just created. The SDK will return
ai_config.enabled=Falseon every evaluation until you flip targeting on and point the fallthrough at your new variation. This is not a bug — it's the default state. You must run/configs-targeting(or the equivalent REST / CLI call shown in Step 5) before verifying against the SDK, or verification will look like the LD-served path is broken when it isn't. The single most common failure mode users hit with this skill is skipping the targeting step and spending time debuggingenabled=Falsein their application code.
Prerequisites
This skill requires the remotely hosted LaunchDarkly MCP server to be configured in your environment.
Primary MCP tool:
setup-ai-config-- create a config with its first variation in one step (recommended)
Alternative MCP tools (for more control):
create-ai-config-- create just the config shell (key, name, mode)create-ai-config-variation-- add a variation with model, prompts, and parametersget-ai-config-- verify the config was created correctly
Optional MCP tools (enhance workflow):
list-ai-configs-- browse existing configs to understand naming conventionscreate-project-- create a project if one doesn't exist yet
Important: Bias Towards Action
When the user provides enough context (use case, model, mode), proceed through the entire workflow without stopping to ask for details you can infer. Use reasonable defaults for unspecified fields: default for variation key, the use case as the basis for instructions/messages, kebab-case for config keys. Complete all steps (create + verify) in one pass.
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.
- 6d ago First seen · 223 lines · 37 tokens per session scan A 62c574597119
configs-create is a skill published in the GitHub repository Bilal140202/the-lord-of-the-skills (4 stars, last pushed 6d ago), licensed MIT. It adds 37 tokens to every session and 2,956 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 2026-09-06.
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