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 reggiechan74/JobOps --skill convert-to-wordgit clone --depth 1 https://github.com/reggiechan74/JobOpsWrote 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/reggiechan74/jobops/convert-to-word)<a href="https://agentmods.dev/skills/reggiechan74/jobops/convert-to-word"><img src="https://agentmods.dev/badge/skills/reggiechan74/jobops/convert-to-word/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/reggiechan74/jobops/convert-to-word"><img src="https://agentmods.dev/badge/skills/reggiechan74/jobops/convert-to-word.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00016 | $0.01120 |
| Opus 5 | $0.00008 | $0.00560 |
| Sonnet 5 | $0.00003 | $0.00224 |
| Haiku 4.5 | $0.00002 | $0.00112 |
Grade A, and why
convert-to-word 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 11d 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 — 136 lines — stays where its author put it; the contents beside it link to each section on GitHub.
I'll convert your specified markdown documents to professional Word DOCX format using pandoc.
Arguments:
$1: File path or glob pattern to convert (required, absolute or relative to workspace)- Specific file:
Applications/AcmeCorp_Director_2026-04-23/resume/step3_final.md - Pattern:
Applications/AcmeCorp_Director_2026-04-23/resume/*.md - Pattern across applications:
Applications/*/resume/step3_final.md
- Specific file:
$2: Output directory (optional, defaults to the same directory as each source file)
Supported Conversion Patterns:
Single File Conversion
/convert Applications/AcmeCorp_Director_2026-04-23/resume/step3_final.md
/convert Applications/FinCo_VP_2026-04-23/cover-letter/cover_letter.md
/convert Career_Analysis/idealjob_20260423.md
Pattern-Based Conversion
/convert "Applications/*/resume/step3_final.md"
/convert "Applications/AcmeCorp_Director_2026-04-23/*.md"
/convert "Crisis_Management/severance_review_*.md"
With Custom Output Directory
/convert Applications/AcmeCorp_Director_2026-04-23/resume/step3_final.md ~/Desktop/
Step 1: System Verification
First, I'll check if pandoc is installed and ready:
Step 2: File Discovery and Validation
I'll locate and validate the specified files based on your input pattern: @$1
Path resolution:
- Absolute paths are used verbatim.
- Relative paths are resolved against the current working directory.
- Glob patterns are expanded before conversion.
Step 3: Direct Conversion Process
I'll convert the files directly using pandoc in the main shell session:
Conversion Features:
- Professional Formatting: Clean, business-appropriate styling
- Table Preservation: Requirements tables in cover letters render correctly
- Font Optimization: Uses standard professional fonts (Calibri, Arial)
- Layout Optimization: Proper spacing, margins, and page breaks
- ATS Compatibility: Ensures compatibility with applicant tracking systems
Quality Checks:
- Verify pandoc conversion completed successfully
- Check DOCX file integrity and size
- Validate table formatting (especially requirements matrices)
- Ensure proper character encoding
- Confirm professional appearance
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.
- 11d ago First seen · 136 lines · 16 tokens per session scan A 63b534d936e7
convert-to-word is a skill published in the GitHub repository reggiechan74/JobOps (25 stars, last pushed 3mo ago), licensed MIT. It adds 16 tokens to every session and 1,120 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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