agentmods.dev

iblai-api-agent-embed

An API tool for configuring how an ibl.ai agent appears and works when embedded in another website. An embed is a chat widget or shared agent placed on an external site.

In plain words
What is it for?
Use it to configure custom CSS or JavaScript, widget mode, anonymous access, voice and attachments, starter prompts, single sign-on, share links, and redirects.
Why use it?
It avoids changing the agent’s website integration settings by hand. It also provides settings for access, appearance, login, and available chat features.

Skill for Claude CodeCodex

15 4d ago A scan 61 tokens original MIT
View the source file iblai/api
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/iblai/api/iblai-api-agent-embed
Any agent
npx skills add iblai/api --skill iblai-api-agent-embed
Clone the repo
git clone --depth 1 https://github.com/iblai/api

Made for: Claude Code, Codex.

Per session 61 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,249 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. Scan, not verified.
Origin original 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 $0.00061 $0.02249
Opus 5 $0.00030 $0.01125
Sonnet 5 $0.00012 $0.00450
Haiku 4.5 $0.00006 $0.00225

Measured 3d ago against content hash 1071af87e783, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

iblai-api-agent-embed 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 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.

Makes network callslowCapability

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

curl -X PUT \
skills/iblai-api-agent-embed/SKILL.md · 182 lines

How it starts

The opening of the file, as written. The whole thing — 182 lines — stays where its author put it; the contents beside it link to each section on GitHub.

iblai-api-agent-embed

Configure an agent's embed/widget settings through the API: anonymous access, custom CSS/JS, widget mode, voice/attachment toggles, starter prompts, SSO, plus the share link and redirect tokens that let an agent live on an external site. Use when embedding an agent on an external website.

Auth & conventions

  • Base URL: https://api.iblai.app
  • Header: Authorization: Api-Token $IBLAI_API_KEY on every request.
  • Path vars: {org} = $IBLAI_ORG, {username} = $IBLAI_USERNAME, {mentor} = the agent's unique id (e.g. d17dc729-60fd-4363-81a0-f67d9318b03e).
  • Embed writes go through one endpoint — PUT …/mentors/{mentor}/settings/ with multipart/form-data — sending only the changed field(s).
  • Not connected yet? Run /iblai-api-login first to populate IBLAI_ORG, IBLAI_USERNAME, and IBLAI_API_KEY.

Reads

  • GET …/mentors/{mentor}/public-settings/ — current embed settings.
  • GET …/mentors/{mentor}/settings/ — current custom CSS/JS.
  • GET …/mentors/{mentor}/sharable-link — existing share-link token (404 = none).
  • GET https://learn.iblai.app/ibl-auth/get-provider-slug/?platform_key={org}&username={username} — SSO providers (LMS host).

Backend token provisioning

  • GET https://api.iblai.app/dm/api/core/users/platforms/?username={username}&platform_key={org} — the provisioned user's org/platform link record(s). Identify the user by username (or user_id / email). platform_key={org} (or org={org}) is required — the Platform API Token is authorized against it and the call 403s without it. Returns a list with one record per matching org link (a Platform API Token is scoped to its own org, so exactly one); the fields the embed payload needs are key (the org key), org, is_admin, and username: 
    [
  {
    "user_id": 1234,
    "username": "johndoe",
    "email": "[email protected]",
    "key": "iblai",
    "org": "iblai",
    "platform_name": "IBL AI",
    "lms_url": "https://learn.iblai.app",
    "cms_url": "https://studio.learn.iblai.app",
    "is_admin": false,
    "is_staff": false,
    "active": true
  }
]

Read the full file on GitHub · 182 lines

Files

What ships with it

1 file 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.

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 · 182 lines · 61 tokens per session scan A 1071af87e783

Subscribe to this mod's changes

iblai-api-agent-embed is a skill published in the GitHub repository iblai/api (15 stars, last pushed 4d ago), licensed MIT. It adds 61 tokens to every session and 2,249 once invoked, about $0.0003 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.

Backend and APIsagent-skillsai-agentsclaude-codecursorgithub-copilotibl-ai
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