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 OpenLAIR/OpenSkill --skill evo-pdf-form-fillergit clone --depth 1 https://github.com/OpenLAIR/OpenSkillWrote 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/openlair/openskill/evo-pdf-form-filler)<a href="https://agentmods.dev/skills/openlair/openskill/evo-pdf-form-filler"><img src="https://agentmods.dev/badge/skills/openlair/openskill/evo-pdf-form-filler/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/openlair/openskill/evo-pdf-form-filler"><img src="https://agentmods.dev/badge/skills/openlair/openskill/evo-pdf-form-filler.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 | $0.00047 | $0.00405 |
| Opus 5.5 | $0.00019 | $0.00162 |
| Sonnet 5.5 | $0.00009 | $0.00081 |
| Haiku 4.5 | $0.00005 | $0.00040 |
Grade A, and why
evo-pdf-form-filler 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 1mo 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
evo-pdf-form-filler
Fills a PDF AcroForm with provided data (text fields, checkboxes), sets the /NeedAppearances flag, and writes the output PDF.
Key Functions
fill_pdf_form(input_pdf, output_pdf, text_fields, checkbox_fields)- Main entry pointset_need_appearances(writer)- Sets /NeedAppearances on AcroForm rootfill_text_field(writer, field_name, value)- Fill a single text fieldfill_checkbox_field(writer, field_name, on_state)- Check a single checkbox
Usage
import sys
sys.path.insert(0, '/app/environment/skills/evo-pdf-form-filler/scripts')
from utils import fill_pdf_form
text_fields = {
'SC-100[0].Page2[0].List1[0].Item1[0].PlaintiffName1[0]': 'Jane Smith',
'SC-100[0].Page2[0].List3[0].PlaintiffClaimAmount1[0]': '5000',
}
checkbox_fields = {
'SC-100[0].Page3[0].List5[0].Lia[0].Checkbox5cb[0]': '/1',
}
fill_pdf_form('blank.pdf', 'filled.pdf', text_fields, checkbox_fields)
SC-100 Checkbox Notes
- Checkbox on-states are typically '/1', '/2', etc. (NOT '/Yes')
- Must match the non-Off key from the checkbox's /AP/N dictionary
- Use evo-pdf-field-inspector's get_checkbox_on_states() to discover correct values
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 1mo ago First seen · 40 lines · 47 tokens per session scan A a0ede56becc8
evo-pdf-form-filler is a skill published in the GitHub repository OpenLAIR/OpenSkill (97 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 47 tokens to every session and 405 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-09-11.
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