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 skills/gracefullight/docusaurus-plugins/oma-scholarnpx skills add gracefullight/docusaurus-plugins --skill oma-scholargit clone --depth 1 https://github.com/gracefullight/docusaurus-pluginsWrote 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/skills/gracefullight/docusaurus-plugins/oma-scholar)<a href="https://agentmods.dev/skills/gracefullight/docusaurus-plugins/oma-scholar"><img src="https://agentmods.dev/badge/skills/gracefullight/docusaurus-plugins/oma-scholar.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 | $0.00073 | $0.03409 |
| Opus 5 | $0.00036 | $0.01705 |
| Sonnet 5 | $0.00015 | $0.00682 |
| Haiku 4.5 | $0.00007 | $0.00341 |
Grade A, and why
oma-scholar scanned grade A with 1 finding 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 yesterday.
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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s "https://knows.academy/api/proxy/search?q=..." This is a copy
91% identical to oma-scholar — 42 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 279 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Scholar - Research Paper Sidecar Companion
Scheduling
Goal
Search, fetch, generate, validate, analyze, review, and compare scholarly paper sidecars using the Knows .knows.yaml spec for token-efficient research workflows.
Intent signature
- User asks for academic literature search, sidecar generation, sidecar validation, paper claims/evidence summary, structural paper comparison, or peer review as sidecar.
- User references Knows,
.knows.yaml, knows.academy, OpenAlex, claims, evidence, relations, or paper sidecars.
When to use
- Reading research papers token-efficiently via Knows sidecars (~700 tokens for claims-only vs ~10K for full PDF)
- Generating
.knows.yamlsidecars from your own paper drafts, LaTeX, or research notes - Validating sidecar structure (rule-based) before sharing
- Producing peer reviews as sidecars
- Querying or summarizing existing sidecars
- Structurally comparing two papers (claims, methods, evidence)
- Searching/fetching sidecars from
knows.academy(~50K papers indexed)
When NOT to use
- General web search or non-academic content -> use
oma-search - Translating papers -> use
oma-translator - PDF parsing only (no sidecar) -> use
oma-pdf - Submitting sidecars back to knows.academy -> out of scope (host LLM only consumes/produces locally)
- Full peer-review workflow with editor system -> out of scope
Expected inputs
- Paper, abstract, draft, LaTeX, research notes, sidecar file, DOI, OpenAlex ID, Knows record ID, or search query
- Desired mode: generate, validate, review, analyze, compare, or remote fetch
- Optional strictness, section filter, or CI behavior
Expected outputs
.knows.yamlsidecar, review sidecar, lint report, search/fetch result, natural-language analysis, or structural comparison- Sidecars conforming to v0.9.0 /
paper@1profile - Validation status and warnings before sharing generated sidecars
Dependencies
oma scholarCLI subcommands- knows.academy public API and OpenAlex fallback
resources/sidecar-spec.md, API endpoints, OpenAlex setup, upstream cache, checklist, and execution protocol
What ships with it
8 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- yesterday First seen · 279 lines · 73 tokens per session scan A ec8322f012e2
oma-scholar is a skill published in the GitHub repository gracefullight/docusaurus-plugins (22 stars, last pushed 2mo ago), licensed MIT. It adds 73 tokens to every session and 3,409 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 91% identical to oma-scholar, differing in 42 lines, and is treated as a copy.
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