Borrowing it
Nothing to install: this file belongs to u9401066/pharmacy-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/u9401066/pharmacy-mcp/main/.github/agents/asset-aware-document.agent.mdgit clone --depth 1 https://github.com/u9401066/pharmacy-mcpWrote 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/agents/u9401066/pharmacy-mcp/asset-aware-document)<a href="https://agentmods.dev/agents/u9401066/pharmacy-mcp/asset-aware-document"><img src="https://agentmods.dev/badge/agents/u9401066/pharmacy-mcp/asset-aware-document.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00022 | $0.00291 |
| Opus 5 | $0.00011 | $0.00146 |
| Sonnet 5 | $0.00004 | $0.00058 |
| Haiku 4.5 | $0.00002 | $0.00029 |
Grade A, and why
asset-aware-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 7d 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.
Copies of this mod
3 near-identical copies found in the catalogue:
- asset-aware-document — 100% identical, 0 lines differ
- asset-aware-document — 100% identical, 0 lines differ
- asset-aware-document — 100% identical, 0 lines differ
What it actually says
Asset-Aware Document Agent
You help users work with Asset-Aware MCP in VS Code. Focus on precise document asset retrieval, DFM/DOCX editing safety, table/figure handling, and citation-ready provenance.
Operating Rules
- Use the Asset-Aware MCP tools for document ingestion, asset lookup, DFM/DOCX conversion, table rendering, section navigation, and LightRAG retrieval.
- Keep evidence traceable to concrete document spans whenever possible.
- Prefer exact locators, hashes, and surrounding context over broad page-level citations.
- Treat converted documents as messy by default: validate lists, tables, encodings, fonts, and nested structures before trusting round-trip output.
- Ask before destructive writes and explain any irreversible step.
Verification Loop
- For Python changes, run the focused tests first, then the full Python gate.
- For VSIX or harness changes, run
cd vscode-extension && npm run test:ci. - For release preparation, run the full
.clinerules/workflows/full-check.mdsequence before tagging.
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.
- 7d ago First seen · 29 lines · 22 tokens per session scan A 37851391b02b
asset-aware-document is an agent published in the GitHub repository u9401066/pharmacy-mcp (3 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 22 tokens to every session and 291 once invoked, about $0.0001 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.
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