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.
git clone --depth 1 https://github.com/roomi-fields/paper-trailWrote 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/agents/roomi-fields/paper-trail/page1-validator)<a href="https://agentmods.dev/agents/roomi-fields/paper-trail/page1-validator"><img src="https://agentmods.dev/badge/agents/roomi-fields/paper-trail/page1-validator/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/agents/roomi-fields/paper-trail/page1-validator"><img src="https://agentmods.dev/badge/agents/roomi-fields/paper-trail/page1-validator.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 | $0.00057 | $0.00788 |
| Opus 5.5 | $0.00023 | $0.00315 |
| Sonnet 5.5 | $0.00011 | $0.00158 |
| Haiku 4.5 | $0.00006 | $0.00079 |
Grade A, and why
page1-validator scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Sub-agent : page1-validator
Role
Verify that a PDF's page 1 matches an expected reference. This is the core anti-homonymy guard of the plugin :
- Confirms the author surname appears on page 1
- Confirms the title has ≥ 30 % keyword similarity with the expected title
- Confirms zero off-domain keywords are present (e.g., "spider" for a Computer Science paper, "carcinoma" for a music paper)
The cascade invokes this validation automatically via
pipeline.cascade._save_and_validate. This sub-agent is for manual /
explicit validation when the user wants to recheck a specific PDF
outside the cascade flow.
Input contract
pdf_path: /absolute/path/to/the.pdf
expected:
author: "Surname Firstname" # or just Surname
title: "Full expected title"
year: 2020 # optional, used for cross-check
What this agent does
- Read the PDF via
pdftotext "$pdf_path" -(first page only via-f 1 -l 1) - Extract metadata from page 1 (author, title, year if visible)
- Compute similarity scores :
- Author match : surname is present (case-insensitive)
- Title similarity : keyword overlap with expected, ratio ≥ 0.3
- Off-domain keywords : zero of the domain-blacklist words (e.g., {spider, arachnology, carcinoma, RNA, ...} for non-bio papers — depends on context)
- Return verdict with explanation
Output contract
{
"verdict": "ok" | "mismatch" | "unable_to_extract",
"author_found": true | false,
"title_similarity": 0.42,
"off_domain_keywords": [],
"page1_text_excerpt": "First 500 chars of page 1...",
"reason": "human-readable explanation"
}
Verdicts :
ok: all 3 checks pass, PDF accepted as matching the refmismatch: at least 1 check fails — PDF should be quarantined, ref transitioned toblocked_human:title_mismatchorneeds_reacquisitionunable_to_extract:pdftotextproduced < 50 chars on page 1 (probably a scan with no text layer) — ref should be transitioned toawaiting_rtfm_ocr
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 · 92 lines · 57 tokens per session scan A 5892a764ab99
page1-validator is an agent published in the GitHub repository roomi-fields/paper-trail (6 stars, last pushed 1mo ago), licensed MIT. It adds 57 tokens to every session and 788 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 2026-08-31.
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