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-field-inspectorgit 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-field-inspector)<a href="https://agentmods.dev/skills/openlair/openskill/evo-pdf-field-inspector"><img src="https://agentmods.dev/badge/skills/openlair/openskill/evo-pdf-field-inspector/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-field-inspector"><img src="https://agentmods.dev/badge/skills/openlair/openskill/evo-pdf-field-inspector.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 | $0.00041 | $0.00263 |
| Opus 5 | $0.00020 | $0.00131 |
| Sonnet 5 | $0.00008 | $0.00053 |
| Haiku 4.5 | $0.00004 | $0.00026 |
Grade A, and why
evo-pdf-field-inspector 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 today.
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-field-inspector
Inspects a PDF form to enumerate all AcroForm field names, types (text, checkbox, radio), current values, and checkbox appearance states.
Key Functions
enumerate_pdf_fields(pdf_path)- Returns dict of all fields with type, value, flagsclassify_field_type(field_obj)- Classifies pypdf Field into human-readable typeget_checkbox_on_states(pdf_path)- Returns dict mapping checkbox field names to their on-state
Usage
import sys
sys.path.insert(0, '/app/environment/skills/evo-pdf-field-inspector/scripts')
from utils import enumerate_pdf_fields, get_checkbox_on_states
fields = enumerate_pdf_fields('form.pdf')
checkbox_states = get_checkbox_on_states('form.pdf')
SC-100 Field Name Pattern
Field names follow hierarchical pattern: SC-100[0].PageN[0].Section.Field
Checkbox on-states are typically /1, /2, etc. (NOT /Yes)
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.
- today First seen · 32 lines · 41 tokens per session scan A 00bf4b8cfdad
evo-pdf-field-inspector is a skill published in the GitHub repository OpenLAIR/OpenSkill (88 stars, last pushed yesterday), licensed Apache-2.0. It adds 41 tokens to every session and 263 once invoked, about $0.0002 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 2026-09-11.
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