A coding guide for integrating with each::labs services for generated images, video, audio, 3D content, workflows, and language models.

Use it to build or explain integrations with each::api, each::workflows, each::sense, the LLM Router, or the each::labs MCP.

It helps an agent use current each::labs documentation and the right service surface when building or debugging an integration.

eachlabs — Skill for Claude Code by bulbulogludemir/eachlabs-ai-plugin

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.

Any agent

npx skills add bulbulogludemir/eachlabs-ai-plugin --skill eachlabs

Clone the repo

git clone --depth 1 https://github.com/bulbulogludemir/eachlabs-ai-plugin

Made for: Claude Code.

Or install eachlabs-ai, the plugin that ships this one along with the rest of its 1 skill, 1 MCP server.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/bulbulogludemir/eachlabs-ai-plugin/eachlabs/github.svg)](https://agentmods.dev/skills/bulbulogludemir/eachlabs-ai-plugin/eachlabs)

Your own site

<a href="https://agentmods.dev/skills/bulbulogludemir/eachlabs-ai-plugin/eachlabs"><img src="https://agentmods.dev/badge/skills/bulbulogludemir/eachlabs-ai-plugin/eachlabs/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/bulbulogludemir/eachlabs-ai-plugin/eachlabs"><img src="https://agentmods.dev/badge/skills/bulbulogludemir/eachlabs-ai-plugin/eachlabs.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 77 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,432 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

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.

Model	Per session	Once invoked
Fable 5.1	$0.00077	$0.01432
Opus 5.5	$0.00031	$0.00573
Sonnet 5.5	$0.00015	$0.00286
Haiku 4.5	$0.00008	$0.00143

Measured 2mo ago against content hash 846eba918de1, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

eachlabs 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 2mo 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.

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.

plugins/eachlabs-ai/skills/eachlabs/SKILL.md · 102 lines

How it starts

The opening of the file, as written. The whole thing — 102 lines — stays where its author put it; the contents beside it link to each section on GitHub.

each::labs

Use this skill to build practical each::labs integrations in Codex. Prefer current official documentation over memory when endpoint details, model slugs, schemas, or pricing behavior matter.

Core Surfaces

each::api: direct REST model execution at https://api.eachlabs.ai.
each::workflows: multi-step pipelines at https://workflows.eachlabs.run/api/v1.
each::sense: OpenAI-compatible generative media agent at https://eachsense-agent.core.eachlabs.run.
LLM Router: OpenAI-compatible LLM access at https://api.eachlabs.ai/v1.
MCP: bundled eachlabs server with docs proxy tools plus action tools.

Docs Workflow

When the bundled eachlabs MCP is available, use it for current docs lookup before implementing or answering precise API questions:

Search with search_each_labs.
Read exact pages with query_docs_filesystem_each_labs.
Cite or link the public docs URL when reporting user-facing API facts.

If MCP tools are unavailable, use the public docs index at https://docs.eachlabs.ai/llms.txt.

Prefer its purpose-built tools over hand-written HTTP calls:

eachlabs_search_models, eachlabs_get_model, and eachlabs_get_model_request_schema for model discovery and schemas.
eachlabs_recommend_models followed by eachlabs_compare_models for credit-free model selection using live schemas and catalog p50 latency.
eachlabs_diff_model_schema before upgrades and deploys to detect breaking live-schema drift.
eachlabs_create_prediction (mode async, wait, or sync; validates input locally first) and eachlabs_get_prediction (wait=true to poll) for direct generation; successful image outputs come back inline in chat.
eachlabs_list_executions for raw run history, eachlabs_summarize_usage for privacy-conscious cost/runtime summaries, eachlabs_diagnose_run for local failure triage, and eachlabs_export_debug_bundle for shareable diagnostics without sensitive payloads.
eachlabs_upload_file for local media inputs.
eachlabs_audio_transcribe and eachlabs_audio_speech for the dedicated audio APIs.
eachlabs_create_workflow, eachlabs_execute_workflow, and workflow execution polling tools for workflows.
eachlabs_validate_workflow_definition before workflow mutation, eachlabs_diff_workflow before publishing a version, and eachlabs_generate_integration_code for live-schema TypeScript, Python, Go, or cURL examples.
eachsense_chat_completion and eachsense_build_workflow for each::sense.
eachlabs_llm_chat_completion for LLM Router calls.

Read the full file on GitHub · 102 lines

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.

2mo ago First seen · 102 lines · 77 tokens per session scan A 846eba918de1

Subscribe to this mod's changes

eachlabs is a skill published in the GitHub repository bulbulogludemir/eachlabs-ai-plugin (12 stars, last pushed 1mo ago), licensed MIT. It adds 77 tokens to every session and 1,432 once invoked, about $0.0003 per session on Opus 5.5. 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.

Creative and media Data and AI

eachlabs next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
eachlabsbulbulogludemir/eachlabs-ai-plugin	Skill	12	1mo ago	MIT	A	77	Claude Code
agent-platform-model-registrygoogle/skills	Skill	23k	today	Apache-2.0	A	60	Claude Code, Codex
foundry-config-setupmicrosoft/agent-framework	Skill	15k	yesterday	MIT	A	65	Claude Code, Codex
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nemo-automodel-launcher-configNVIDIA/skills	Skill	3.9k	today	Apache-2.0	A	30	Claude Code
finetuningmicrosoft/skills	Skill	3.2k	today	MIT	A	132	Claude Code