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-ingest-all)<a href="https://agentmods.dev/commands/roomi-fields/paper-trail/paper-trail-ingest-all"><img src="https://agentmods.dev/badge/commands/roomi-fields/paper-trail/paper-trail-ingest-all/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-ingest-all"><img src="https://agentmods.dev/badge/commands/roomi-fields/paper-trail/paper-trail-ingest-all.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 | $0.00069 | $0.00711 |
| Opus 5 | $0.00034 | $0.00356 |
| Sonnet 5 | $0.00014 | $0.00142 |
| Haiku 4.5 | $0.00007 | $0.00071 |
Grade A, and why
paper-trail-ingest-all 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 11d 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 — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/paper-trail:ingest-all — Batch INGEST on the whole vault
Variante batch de /paper-trail:ingest. Traite tous les SOTAs ayant
des sections bibliographiques avec citations en texte libre, en une
seule session.
Usage
/paper-trail:ingest-all # dry-run par défaut sur tout le vault
/paper-trail:ingest-all --apply # applique sur tout
/paper-trail:ingest-all --pattern "*tempo*" # filtre par nom de SOTA
Ce que fait Claude
-
Vérifie git initialisé (sinon refuse).
-
Scan global :
python3 -m pipeline ingest --allListe les SOTAs avec sections bibliographiques candidates et leur nombre. Présente le tableau à l'utilisateur.
-
Demande confirmation avant de lancer le batch :
- Combien de SOTAs vont être traités ?
- Estimation : ~30s par SOTA (sub-agent parser + Crossref + DOI resolution + dédup + substitutions).
- Le commit git auto sera fait avant chaque SOTA.
-
Pour chaque SOTA (séquentiel, pour éviter conflit git) :
- Lance
/paper-trail:ingest <SOTA>ou directement la chaîneingest --extract-only→ sub-agent →ingest --citations-json --apply - Agrège le résultat (new_refs, reused_refs, substitutions, erreurs)
- Lance
-
Récap final : tableau par SOTA + totaux :
SOTA new reused subst errors SOTA_Beat_Tracking 3 0 3 0 SOTA_Bernard_Bel_Temperaments 12 2 14 1 ... Total N N N N -
Étape suivante : propose de lancer
pipeline run --loop(cascade sur les nouvelles refs candidates), puis/paper-trail:audit-all(audit claim ↔ PDF).
Garde-fous
-
Interruption : si l'utilisateur dit stop pendant le batch, sauvegarder la progression (SOTAs déjà traités) dans
plans/ingest_all_<date>.md. La reprise re-démarre au SOTA suivant. -
Skip si déjà ingéré : si un SOTA n'a plus aucune section candidate (toutes les citations sont déjà en wikilinks), skip silencieusement.
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.
- 11d ago First seen · 73 lines · 69 tokens per session scan A a5d3d2dc239c
paper-trail-ingest-all is a command published in the GitHub repository roomi-fields/paper-trail (5 stars, last pushed 7d ago), licensed MIT. It adds 69 tokens to every session and 711 once invoked, about $0.0003 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
output
Generate output artifacts from active wiki content — summaries, reports, study guides, slide outlines, timelines, glossaries, comparisons. Outputs are filed back into the wiki.
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.
latex-scaffold
Convert an existing Markdown manuscript draft into a buildable LaTeX project with canonical structure and build configuration. Use when prose already exists but no LaTeX source tree does. Not for checking template drift in an existing project; use $latex-template.
brand-generate
Generate an on-brand document from a saved Brand Profile.
latex-posters
Create a large-format academic poster in LaTeX using beamerposter, tikzposter, or baposter. Use when the requested deliverable is a conference or research poster rather than sequential presentation slides. For slide decks, use $beamer-deck.
show
Display a past OCR review session.