cerebro-amigo: Skill for Claude Code

.claude/skills/env-reference/SKILL.md

env-reference is a skill for Claude Code from arinelliquebec/cerebro-amigo. It costs 108 tokens per session (894 once invoked), scanned A, original, no licence file.

A detailed reference for environment variables used by inactive or optional portfolio features, including embeddings, longitudinal checkups, acquisition tools, teleconsultation, TURN, and retrieval-augmented generation. Environment variables are configuration values supplied outside the code.

In plain words
What is it for?
Configuring, troubleshooting, or deploying the listed portfolio features, including Bedrock embeddings, longitudinal checkups, the acquisition cockpit, teleconsultation and TURN, and RAG.
Why use it?
It helps developers know which configuration values are needed when setting up, debugging, or deploying these optional features. The description does not list the variable names or their values.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

This is arinelliquebec/cerebro-amigo's own configuration. It tells Claude Code how to work on cerebro-amigo itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything cerebro-amigo configures →

Reuse

Borrowing it

Nothing to install: this file belongs to arinelliquebec/cerebro-amigo. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/arinelliquebec/cerebro-amigo/main/.claude/skills/env-reference/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/arinelliquebec/cerebro-amigo

Made for: Claude Code.

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.

agentmods badge for env-reference

README.md
[![agentmods](https://agentmods.dev/badge/skills/arinelliquebec/cerebro-amigo/env-reference/github.svg)](https://agentmods.dev/skills/arinelliquebec/cerebro-amigo/env-reference)
Your own site
<a href="https://agentmods.dev/skills/arinelliquebec/cerebro-amigo/env-reference"><img src="https://agentmods.dev/badge/skills/arinelliquebec/cerebro-amigo/env-reference/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.

agentmods 80×15 button for env-reference

Your own site · 80×15
<a href="https://agentmods.dev/skills/arinelliquebec/cerebro-amigo/env-reference"><img src="https://agentmods.dev/badge/skills/arinelliquebec/cerebro-amigo/env-reference.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 108 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 894 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 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 5.1 $0.00108 $0.00894
Opus 5 $0.00054 $0.00447
Sonnet 5 $0.00022 $0.00179
Haiku 4.5 $0.00011 $0.00089

Measured 10d ago against content hash 12a07afe78c3, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

env-reference 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 10d 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.

.claude/skills/env-reference/SKILL.md · 19 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

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. 10d ago First seen · 19 lines · 108 tokens per session scan A 12a07afe78c3

Subscribe to this mod's changes

env-reference is a skill published in the GitHub repository arinelliquebec/cerebro-amigo (2 stars, last pushed 1mo ago), with no licence file. It adds 108 tokens to every session and 894 once invoked, about $0.0005 per session on Opus 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 2026-08-31.

Related

Other skills, from other repositories

generate-adr

Generates an Architecture Decision Record (ADR) from meeting notes, refinement transcripts, or a brief decision summary. Use when the user asks to document an architecture decision, create an ADR, or record a technical decision made in a meeting.

thiagofmaranhao/tech-toolkit · 51 tokens

schema-exploration

Lists tables, describes columns and data types, identifies foreign key relationships, and maps entity relationships in a database. Use when the user asks about database schema, table structure, column types, what tables exist, ERD, foreign keys, or how entities relate.

langchain-ai/deepagents · 57 tokens

deepagents-thread-inspector

Inspect and explain conversations in the local Deep Agents Code SQLite session store. Use as a fallback when LangSmith trace tooling is unavailable, for offline or untraced sessions, or when asked to identify or summarize a local dcode thread, inspect checkpoint metadata, list recent local threads, or parse…

langchain-ai/deepagents · 82 tokens

analyze-market

Perform a market analysis for a product category or segment. Trigger on: market analysis, market size, TAM SAM SOM, market opportunity, industry analysis.

langchain-ai/deepagents · 34 tokens

winforms

Build, maintain, or modernize Windows Forms applications with practical guidance on designer-driven UI, event handling, data binding, MVP separation, and migration to modern .NET. USE FOR: working on Windows Forms UI, event-driven workflows, or classic LOB applications; migrating WinForms from .NET Framework to modern…

managedcode/dotnet-skills · 122 tokens

grpc

Build or review gRPC services and clients in .NET. USE FOR: ASP.NET Core gRPC, protobuf contracts, unary or streaming RPC, gRPC client factory, interceptors, deadlines, cancellation, channel reuse, backend service integration. DO NOT USE FOR: broad browser-facing APIs without gRPC-Web tradeoff review, SignalR realtime…

managedcode/dotnet-skills · 95 tokens