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/fisker086/aiops/office_docnpx skills add fisker086/AIOps --skill office_docgit clone --depth 1 https://github.com/fisker086/AIOpsWrote 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/fisker086/aiops/office_doc)<a href="https://agentmods.dev/skills/fisker086/aiops/office_doc"><img src="https://agentmods.dev/badge/skills/fisker086/aiops/office_doc.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 | $0.00026 | $0.00506 |
| Opus 5 | $0.00013 | $0.00253 |
| Sonnet 5 | $0.00005 | $0.00101 |
| Haiku 4.5 | $0.00003 | $0.00051 |
Grade A, and why
office-doc 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 5d 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
Office Doc Skill
All-in-one office document processing tool. Use builtin_office_doc tool with the following operations:
Supported Formats
1. PDF
extract: Extract text from PDF pagesmetadata: Get PDF info (pages, size, author)search: Search text in PDF
2. Excel / CSV
parse: Parse spreadsheet datainfo: Show columns and typesstats: Calculate statisticshead/tail: Show rowsfilter: Filter by column value
3. Word (.docx)
extract: Extract text from Word document
4. Config Files
yaml/yml: Parse YAML to JSONjson: Parse JSON, get keysini: Parse INI sectionstoml: Parse TOML configxml: Parse XML elements
Parameters
format: File type (pdf, excel, csv, docx, yaml, json, ini, toml, xml)operation: Operation (parse, extract, info, stats, head, tail, filter, search, metadata)content: File content or datafile_path: Path to file (for PDF)page: Page number (for PDF)query: Search querycolumn: Column namevalue: Filter valuekey: Key path (dot notation)
Examples
# Parse CSV
format: csv, content: "name,age\nAlice,30\nBob,25", operation: stats
# Extract from PDF
format: pdf, file_path: "/path/to/file.pdf", operation: extract, page: 1
# Parse YAML
format: yaml, content: "name: test\nvalue: 123", operation: to_json
# Filter CSV
format: csv, content: "name,age\nAlice,30\nBob,25", operation: filter, column: name, value: Alice
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.
- 5d ago First seen · 62 lines · 26 tokens per session scan A 7cf7ad818e09
office-doc is a skill published in the GitHub repository fisker086/AIOps (22 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 26 tokens to every session and 506 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 2026-08-30.
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