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 the-cyber-boardroom/SGraph-AI__App__Send --skill mcpgit clone --depth 1 https://github.com/the-cyber-boardroom/SGraph-AI__App__SendWrote 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/the-cyber-boardroom/sgraph-ai__app__send/mcp)<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.
<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>- NVIDIA SkillSpector warn
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.
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 | $0.00079 | $0.00906 |
| Sonnet 5 | $0.00032 | $0.00362 |
| Haiku 4.5 | $0.00016 | $0.00181 |
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 12d 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.
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.
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.
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.
- 12d ago First seen · 212 lines · 159 tokens per session scan A 3088cdec4d2d
sg-send-encrypted is a skill published in the GitHub repository the-cyber-boardroom/SGraph-AI__App__Send (11 stars, last pushed yesterday), licensed Apache-2.0. It adds 159 tokens to every session and 1,812 once invoked, about $0.0008 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 2026-08-30.
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