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)<a href="https://agentmods.dev/commands/roomi-fields/paper-trail/paper-trail-ingest"><img src="https://agentmods.dev/badge/commands/roomi-fields/paper-trail/paper-trail-ingest/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"><img src="https://agentmods.dev/badge/commands/roomi-fields/paper-trail/paper-trail-ingest.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 | $0.00075 | $0.00852 |
| Opus 5 | $0.00037 | $0.00426 |
| Sonnet 5 | $0.00015 | $0.00170 |
| Haiku 4.5 | $0.00007 | $0.00085 |
Grade A, and why
paper-trail-ingest 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 9d 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 — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/paper-trail:ingest <SOTA-path> — Ingest one SOTA
Étape 1 du pipeline cible : convertit un SOTA écrit en texte libre en un SOTA conforme (wikilinks vers refs registre).
Usage
/paper-trail:ingest <SOTA-path> # dry-run par défaut
/paper-trail:ingest <SOTA-path> --apply # applique
Ce que fait Claude
-
Vérifie git initialisé dans le vault (sinon refuse — propose
pipeline ingest --init-gitla première fois). -
Extrait les sections bibliographiques :
python3 -m pipeline ingest <SOTA-path> --extract-onlyRetourne sur stdout un JSON
[{header, is_excluded, raw_text, ...}]. -
Pour chaque section non exclue, invoque le sub-agent
citation-parser:Agent(subagent_type="citation-parser", prompt=<contenu_section_brut>)Le sub-agent retourne un JSON
[{author, year, title, doi?, raw, ...}]. -
Consolide tous les JSON de citations en un seul fichier
/tmp/citations_<sota_stem>.json. -
Lance l'ingestion :
python3 -m pipeline ingest <SOTA-path> \ --citations-json /tmp/citations_<sota_stem>.json [--apply]Sans
--apply: montre ce qui serait ingéré (dry-run). Avec--apply: commit git auto, crée refs candidates, substitue le texte par[[wikilinks]]. -
Présente le récap intermédiaire : N nouvelles refs créées, N réutilisées, N substitutions, N skipped (low confidence), N erreurs.
-
Sweep automatique des textbooks incomplets (uniquement si
--apply) :- Liste les candidates :
python3 -m pipeline resolve-textbooks --list > /tmp/textbook_candidates_<sota_stem>.json - Si le JSON est non-vide, invoque le sub-agent
textbook-resolver:Agent(subagent_type="textbook-resolver", prompt=<contenu de /tmp/textbook_candidates_<sota_stem>.json>) - Sauve le JSON retourné dans
/tmp/textbook_decisions_<sota_stem>.json, applique :python3 -m pipeline resolve-textbooks \ --apply-from /tmp/textbook_decisions_<sota_stem>.json - Aucune décision humaine intermédiaire : le sub-agent applique ses
règles documentées (
agents/textbook-resolver.md) — merge / complete / blocked. Lesblockedrestent visibles viapipeline doctor.
- Liste les candidates :
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.
- 9d ago First seen · 84 lines · 75 tokens per session scan A 94b526703113
paper-trail-ingest is a command published in the GitHub repository roomi-fields/paper-trail (5 stars, last pushed 6d ago), licensed MIT. It adds 75 tokens to every session and 852 once invoked, about $0.0004 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
lit-landscape
Generate figures visualizing literature trends, citation patterns, and research gaps.
verify-citations
Verify all citations against bibliography.
lit-review
A command for carrying out a systematic literature review, meaning a structured search and summary of research papers on a chosen topic. It also builds a citation graph showing connections between papers.
causal-design
Design or audit the identification strategy for an observational study. Use when the task concerns estimands, causal assumptions, threats to identification, or defensible research design rather than model implementation.
cite-check
Verify that citations actually exist and that the claims they support are faithful to the cited source. Runs deterministic existence checks (Crossref / OpenAlex / Semantic Scholar / arXiv) plus a claim-faithfulness pass via the alterlab-citation-verifier skill.
proof-readability
Improve the exposition and readability of a mathematical proof already verified as correct without changing its mathematics. Use when polishing a lemma, theorem, proof, or appendix after correctness checks. Not for verifying the proof; use $verify-math.