What is sg-send-encrypted?

A secure file-sharing workflow that encrypts files before sending them through SG/Send, with optional email delivery through n8n.

Use it to encrypt and upload a file, create a shareable download link, or email that link to a recipient. It requires an SG/Send connection and an n8n connection for email delivery.

It avoids sending files as ordinary attachments or unprotected links. The file is shared through an encrypted transfer process, with the option to email its download link.

sg-send-encrypted — Skill by the-cyber-boardroom/SGraph-AI__App_

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 the-cyber-boardroom/SGraph-AI__App__Send --skill mcp

Clone the repo

git clone --depth 1 https://github.com/the-cyber-boardroom/SGraph-AI__App__Send

Made for: Claude Code, Codex.

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/the-cyber-boardroom/sgraph-ai__app__send/mcp/github.svg)](https://agentmods.dev/skills/the-cyber-boardroom/sgraph-ai__app__send/mcp)

Your own site

<a href="https://agentmods.dev/skills/the-cyber-boardroom/sgraph-ai__app__send/mcp"><img src="https://agentmods.dev/badge/skills/the-cyber-boardroom/sgraph-ai__app__send/mcp/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/the-cyber-boardroom/sgraph-ai__app__send/mcp"><img src="https://agentmods.dev/badge/skills/the-cyber-boardroom/sgraph-ai__app__send/mcp.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 159 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,812 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. Third-party audits

NVIDIA SkillSpector warn 7 Sept 2026

SkillSpector: 2 findings, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

high Privilege Escalation · line 49
Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.

Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
medium Excessive Agency · line 129
Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.

Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.

How audits are shown

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	$0.00159	$0.01812
Opus 5.5	$0.00064	$0.00725
Sonnet 5.5	$0.00032	$0.00362
Haiku 4.5	$0.00016	$0.00181

Measured 2mo ago against content hash 3088cdec4d2d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

sg-send-encrypted 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.

team/humans/dinis_cruz/briefs/02/26/mcp/SKILL.md · 212 lines

How it starts

The opening of the file, as written. The whole thing — 212 lines — stays where its author put it; the contents beside it link to each section on GitHub.

SG/Send Encrypted File Transfer

Send any file through a zero-knowledge encrypted pipeline using the SG/Send MCP connector, with optional email delivery via n8n.

When to Use

User wants to send a file securely / privately
User wants to encrypt and share a document
User mentions SG/Send, SGraph Send, or zero-knowledge transfer
User wants to email an encrypted download link
User wants to upload an encrypted file and get a shareable link

Required MCP Connectors

Connector	Purpose	Required?
SG/Send (`send.sgraph.ai`)	Encrypted file storage + transfer	Yes
n8n	Email delivery via Sherpa WorkMail	Only if emailing

Pre-Flight Checks

Before starting, verify both connectors:

# Check SG/Send token
transfers_check-token(token_name = "<token-name>")
# Expect: {valid: true, status: "active"}

# Check n8n email workflow (only if emailing)
search_workflows(query = "sherpa")
# Look for: "SG/Send - Sherpa workmail" → workflow ID

Ask the user for (if not provided):

Access token name — e.g. graphs-and-maps (the SG/Send token to authenticate uploads)
Recipient email — only if they want email delivery
File content — what to put in the file, or the user may upload a file to send

The 7-Step Pipeline

Step 1 — Create or Prepare the File

If creating a PDF, install reportlab and cryptography:

pip install reportlab cryptography --break-system-packages -q

Generate the file (PDF, text, or any binary). Save the raw bytes and the desired filename. If the user uploaded a file, read it from /mnt/user-data/uploads/.

Step 2 — SGMETA Envelope + AES-256-GCM Encryption

CRITICAL: The file MUST be wrapped in an SGMETA envelope BEFORE encryption. This preserves the original filename inside the encrypted payload so the recipient sees the correct filename on download. This matches the SG/Send browser client behavior.

For the full encryption code, see references/encryption.md.

Read the full file on GitHub · 212 lines

Files

What ships with it

2 files 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.

2mo ago First seen · 212 lines · 159 tokens per session scan A 3088cdec4d2d

Subscribe to this mod's changes

sg-send-encrypted is a skill published in the GitHub repository the-cyber-boardroom/SGraph-AI__App__Send (11 stars, last pushed 9d ago), licensed Apache-2.0. It adds 159 tokens to every session and 1,812 once invoked, about $0.0006 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.