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/parse-documentnpx skills add superlinked/sie --skill parse-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 | $0.00064 | $0.00430 |
| Opus 5 | $0.00032 | $0.00215 |
| Sonnet 5 | $0.00013 | $0.00086 |
| Haiku 4.5 | $0.00006 | $0.00043 |
Grade A, and why
parse-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 2d 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.
What it actually says
Parse a Document with Superlinked MCP
Use the connected Superlinked MCP server to convert the source file to markdown
through the MCP docs_to_markdown tool, then work from the markdown artifact.
Steps
-
Do not open, view, attach, or read the source document into context. Read its raw bytes only and base64-encode those bytes.
-
Call the Superlinked MCP
docs_to_markdowntool with:document_base64: the base64-encoded source bytesfilename: the original filenameengine:autounless the user explicitly asks to forcedoclingorvl-ocrocr: leavefalseunless forcing thedoclingOCR path
-
Write the returned markdown to
processed/<source-stem>.md. Createprocessed/if it does not exist. -
Your next message must begin with a short receipt, then answer from the artifact selectively:
Parsed <source> -> processed/<source-stem>.md (<chars> chars)If the MCP metadata includes token-saving figures, include those figures directly under the receipt. Keep estimates marked as estimates.
-
Answer the user's question from the artifact. Grep or read specific sections; do not read the whole markdown file unless it is small.
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.
- 2d ago First seen · 45 lines · 64 tokens per session scan A fe66cd87608f
parse-document is a skill published in the GitHub repository superlinked/sie (2,863 stars, last pushed 5d ago), licensed Apache-2.0. It adds 64 tokens to every session and 430 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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