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 GongShichen/LuminaCode --skill pdfgit clone --depth 1 https://github.com/GongShichen/LuminaCodeWrote 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/gongshichen/luminacode/pdf)<a href="https://agentmods.dev/skills/gongshichen/luminacode/pdf"><img src="https://agentmods.dev/badge/skills/gongshichen/luminacode/pdf/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/gongshichen/luminacode/pdf"><img src="https://agentmods.dev/badge/skills/gongshichen/luminacode/pdf.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 | $0.00023 | $0.00253 |
| Opus 5.5 | $0.00009 | $0.00101 |
| Sonnet 5.5 | $0.00005 | $0.00051 |
| Haiku 4.5 | $0.00002 | $0.00025 |
Grade A, and why
PDF Work 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 2mo 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
Treat PDFs as visual artifacts. Prefer rendering pages to images and inspecting the result over relying only on extracted text.
Recommended workflow:
- Use
pdftoppmor an equivalent renderer to convert pages to PNG when available. - Use structured libraries such as
pypdf,pdfplumber, orreportlabfor extraction and generation instead of ad hoc byte edits. - Keep temporary render outputs under
tmp/pdfs/and final artifacts underoutput/pdf/unless the user gives another path. - Re-render after meaningful edits and verify margins, clipping, tables, images, page numbers, headers, and footers.
If a dependency is missing, state the exact missing tool and the command needed to install it. Do not deliver a generated PDF as complete until the latest render has been visually checked or you have clearly explained why rendering was not possible.
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.
- 2mo ago First seen · 19 lines · 23 tokens per session scan A d43f1f136fcb
PDF Work is a skill published in the GitHub repository GongShichen/LuminaCode (9 stars, last pushed 4d ago), licensed Apache-2.0. It adds 23 tokens to every session and 253 once invoked, about $0.0001 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 2026-08-30.
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