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/commands/roomi-fields/paper-trail/paper-trail-acquire)<a href="https://agentmods.dev/commands/roomi-fields/paper-trail/paper-trail-acquire"><img src="https://agentmods.dev/badge/commands/roomi-fields/paper-trail/paper-trail-acquire/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/commands/roomi-fields/paper-trail/paper-trail-acquire"><img src="https://agentmods.dev/badge/commands/roomi-fields/paper-trail/paper-trail-acquire.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 | $0.00114 | $0.00558 |
| Opus 5 | $0.00057 | $0.00279 |
| Sonnet 5 | $0.00023 | $0.00112 |
| Haiku 4.5 | $0.00011 | $0.00056 |
Grade A, and why
paper-trail-acquire 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 5d 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
/paper-trail:acquire <SOTA-path> — Cascade ciblée
Étape 3 du pipeline cible refondu. Pour chaque fiche citée par le SOTA
mais sans PDF (state candidate, uid_resolved, pdf_acquired,
awaiting_rtfm_ocr, needs_reacquisition), lance la cascade jusqu'à
page1_validated ou blocage.
Usage
/paper-trail:acquire <SOTA-path> # dry-run (compte les cibles)
/paper-trail:acquire <SOTA-path> --apply # exécute les transitions
Ce que fait Claude
-
Détermine les cibles : appelle
python3 -m pipeline acquire <SOTA-path>La CLI scanne les wikilinks existants du SOTA + les slugs créés précédemment par identify (si
--citations-jsonfourni), produit la liste des slugs à pousser dans la FSM. -
Lance la cascade (mode
--apply) :- Pour chaque slug : itère
plan_for + transitions worker Bjusqu'à terminal ou max 5 itérations. - Cascade complète : Crossref OA → arXiv → OpenAlex → Unpaywall → HAL → CORE → archive.org → WebSearch → (opt-in : Sci-Hub + AA).
- Pour chaque slug : itère
-
Présente le récap : N succeeded (page1_validated), N pending (cascade en attente d'humain), N blocked.
-
Propose :
/paper-trail:linkify <SOTA>pour insérer les wikilinks finaux maintenant que les PDFs sont prêts.
Style
- Concis. Pas de détail de chaque source de cascade (le worker B s'en occupe en interne).
- Si des refs sont blocked → propose
/paper-trail:arbitrateou/paper-trail:decide <slug>.
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.
- 5d ago Changed · +10 tokens per session 75da33e26265
- 9d ago First seen · 47 lines · 104 tokens per session scan A b7412b804fef
paper-trail-acquire is a command published in the GitHub repository roomi-fields/paper-trail (5 stars, last pushed 5d ago), licensed MIT. It adds 114 tokens to every session and 558 once invoked, about $0.0006 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
octo-docs
Document delivery with export to PPTX, DOCX, PDF formats.
latex-polish
Inspect a cleanly compiling LaTeX document for source pathologies and rendered visual defects by linting and viewing selected PDF pages. Use when compilation succeeds but title pages, floats, tables, figures, or layout still need publication-quality review. Not for basic compilation health; use $latex-health-check.
latex
Compile one specified LaTeX document, resolve build errors, audit citations, and report build quality. Use when a .tex source must be built or a concrete compilation failure repaired. Not for corpus-wide build checks, visual polish after a clean build, or creating a project; use $latex-health-check, $latex-polish, or…
bib-filter
Filter a LaTeX project's bibliography to the entries actually cited, with Overleaf-source resolution, temporary staging, validation, approval-gated canonical replacement, and compilation. Use before submission or after large revisions.
bib-parse
Extract citations from a PDF and generate a validated .bib file. Use when the user asks to extract citations from a PDF and generate a validated .bib file. Reads the PDF, identifies referenced works, constructs BibTeX entries, and verifies metadata.
brief-compliance-check
Check a LaTeX coursework submission against the requirements in a supplied PDF assessment brief. Use when verifying format, required sections, word limits, or deliverables before submission. Not for general prose proofreading; use $proofread.