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 commands/getemboss-ai/emboss-claude-plugin/make-fillablegit clone --depth 1 https://github.com/GetEmboss-ai/emboss-claude-pluginWrote 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/commands/getemboss-ai/emboss-claude-plugin/make-fillable)<a href="https://agentmods.dev/commands/getemboss-ai/emboss-claude-plugin/make-fillable"><img src="https://agentmods.dev/badge/commands/getemboss-ai/emboss-claude-plugin/make-fillable.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 | $0.00012 | $0.00135 |
| Opus 5 | $0.00006 | $0.00068 |
| Sonnet 5 | $0.00002 | $0.00027 |
| Haiku 4.5 | $0.00001 | $0.00014 |
Grade A, and why
make-fillable 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 4d 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
Turn the PDF at $ARGUMENTS into a fillable form with Emboss. If the argument
is a local path, read the file and call create_form with pdf_base64; if
it is an https URL, call create_form with pdf_url. When it returns
ready, call get_form and reply with the download link and a short list of
the detected fields. If it returns failed, show the error and suggest
exporting the form to PDF again.
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.
- 4d ago First seen · 12 lines · 12 tokens per session scan A 464ed226378f
make-fillable is a command published in the GitHub repository GetEmboss-ai/emboss-claude-plugin (0 stars, last pushed 4d ago), licensed MIT. It adds 12 tokens to every session and 135 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.
Other commands, from other repositories
pipeline-minutar-pdf
Pipeline completo de sentença judicial a partir de PDF (conversão, linha-tempo, relatório, análise, fundamentação, merge).
cheatsheet
Generate a one-page exam cheatsheet from course-index and errors/log.md. Outputs to cheatsheet/final.md. Optionally convert to PDF.
cti-report
Render case deliverables — relationship graph (PNG/SVG/Mermaid) and a polished PDF/DOCX assessment. Usage: /cti-report [--graph|--pdf].
render-figures
Compile all .tex and .typ figure files in a directory.
doc-to-md
Convert a local document (PDF, DOCX, HTML, …) to Markdown, read-only.
read-paper
Read a PDF and auto-generate a structured paper note. Output defaults to unreviewed and must pass /review-note before being citable by the wiki.