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 agentmods add commands/tobiasblask/open-paper-machine/screen-papersgit clone --depth 1 https://github.com/TobiasBlask/open-paper-machineWrote 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/tobiasblask/open-paper-machine/screen-papers)<a href="https://agentmods.dev/commands/tobiasblask/open-paper-machine/screen-papers"><img src="https://agentmods.dev/badge/commands/tobiasblask/open-paper-machine/screen-papers.svg" alt="Measured on agentmods" 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 | $0.00060 | $0.00427 |
| Opus 5 | $0.00030 | $0.00214 |
| Sonnet 5 | $0.00012 | $0.00085 |
| Haiku 4.5 | $0.00006 | $0.00043 |
Grade A, and why
screen-papers 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 6d 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
Screen Papers: $ARGUMENTS
Activate the screening-engine skill. Read skills/screening-engine/SKILL.md in full.
Execute the complete 6-step screening workflow:
- DEFINE inclusion/exclusion criteria (present for approval before screening)
- SCREEN title/abstract for all papers in literature_base.csv
- SCREEN full-text for included and uncertain papers
- ASSESS quality of included papers (Q1-Q8 checklist)
- GENERATE PRISMA flow diagram (text + visual via figure-engine)
- SAVE all screening artifacts and update literature_base_screened.csv
Input
$ARGUMENTS can be:
- Empty — screens all papers in
literature_base.csvusing default criteria - File path to a specific CSV (e.g.,
@literature_base_v2.csv) - Criteria description (e.g.,
"only empirical papers 2020-2025 in enterprise context") - "resume" — continue a previously started screening session
Output
screening/screening_protocol.md— documented criteria and processscreening/title_abstract_screening.csv— all T/A screening decisions with reasonsscreening/full_text_screening.csv— full-text screening decisionsscreening/quality_assessment.csv— quality scores for included papersscreening/screening_summary.md— PRISMA counts and summary statisticsliterature_base_screened.csv— final set of included papersfigures/fig_prisma_flow.png— visual PRISMA diagram
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.
- 6d ago First seen · 39 lines · 60 tokens per session scan A 8e1453ad22f5
screen-papers is a command published in the GitHub repository TobiasBlask/open-paper-machine (18 stars, last pushed 4mo ago), licensed MIT. It adds 60 tokens to every session and 427 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 2026-08-30.
Other commands, from other repositories
openehr-explain
One-stop router that explains or looks up any openEHR thing — auto-detects an archetype, a template, an RM/AM/BASE type, an RM structural concept, an ADL idiom, an AQL query or keyword, or a terminology code (replaces /archetype-explain, /template-explain, /type-spec, /rm-structure, /adl-idiom, /terminology).
create-scene
Create a single animated scene for mathematical visualization.
ars-lit-review
ARS academic-paper lit-review mode — annotated bibliography in paper format.
ars-citation-check
ARS academic-paper citation-check mode — citation error report.
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.