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 agentmods add skills/superlinked/sie/summarize-documentnpx skills add superlinked/sie --skill summarize-documentgit clone --depth 1 https://github.com/superlinked/sieWhat 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 | $0.00066 | $0.00439 |
| Opus 5 | $0.00033 | $0.00219 |
| Sonnet 5 | $0.00013 | $0.00088 |
| Haiku 4.5 | $0.00007 | $0.00044 |
Grade A, and why
summarize-document 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 yesterday.
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.
What it actually says
Summarize a Document with Superlinked MCP
Use the connected Superlinked MCP server to summarize the source on the SIE
cluster through the MCP summarize_document tool.
Steps
-
Do not open, view, attach, or read the whole source document into context.
-
Call the Superlinked MCP
summarize_documenttool:- For PDF, scan, image-of-text, DOCX, PPTX, XLSX, or HTML inputs, read raw
bytes only, base64-encode them, and pass
document_base64plusfilename. - For text or markdown inputs, read raw bytes only, base64-encode them, and
pass
content_base64. - Leave
engineasautounless the user explicitly asks to force a conversion engine.
- For PDF, scan, image-of-text, DOCX, PPTX, XLSX, or HTML inputs, read raw
bytes only, base64-encode them, and pass
-
Write the returned
summarytoprocessed/<source-stem>.summary.md. Createprocessed/if it does not exist. -
Your next message must begin with a short receipt:
Summarized <source> -> processed/<source-stem>.summary.md (<summary_chars> chars)If metadata includes
token_savings_estimate, include it as an estimate. -
Present the summary from the artifact. If the user asks for exact quotes or detailed follow-up, use
parse-documentand inspect only relevant sections of the parsed markdown.
Errors
If the MCP call fails, relay the tool error and do not retry blindly. For auth
or connector errors, tell the user to reinstall the generated MCP plugin pack or
rerun the generated claude mcp add ... --header 'Authorization: Bearer ...'
command from INSTALL.md.
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.
- yesterday First seen · 44 lines · 66 tokens per session scan A 09f95f183868
summarize-document is a skill published in the GitHub repository superlinked/sie (2,863 stars, last pushed 4d ago), licensed Apache-2.0. It adds 66 tokens to every session and 439 once invoked, about $0.0003 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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