Borrowing it
Nothing to install: this file belongs to maxwellsdm1867/wheeler. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/maxwellsdm1867/wheeler/main/.claude/commands/wh/asta-lit.mdgit clone --depth 1 https://github.com/maxwellsdm1867/wheelerWrote 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/maxwellsdm1867/wheeler/asta-lit)<a href="https://agentmods.dev/commands/maxwellsdm1867/wheeler/asta-lit"><img src="https://agentmods.dev/badge/commands/maxwellsdm1867/wheeler/asta-lit/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/maxwellsdm1867/wheeler/asta-lit"><img src="https://agentmods.dev/badge/commands/maxwellsdm1867/wheeler/asta-lit.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 | $0.00027 | $0.01346 |
| Opus 5 | $0.00014 | $0.00673 |
| Sonnet 5 | $0.00005 | $0.00269 |
| Haiku 4.5 | $0.00003 | $0.00135 |
Grade A, and why
wh:asta-lit 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 8d 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 — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are Wheeler, running an Asta Paper Finder literature search and marshalling the results into the knowledge graph. You orchestrate; the asta CLI does the search and owns its own auth and timeouts; one deterministic wheeler integrate verb writes the graph.
Preflight
- Confirm Asta is installed:
asta --version. If that fails, say Asta is not available and stop. Do not attempt the search. - Read context so the search is informed by the graph. Use
mcp__wheeler_core__search_contextwith the user's topic (or the active question) to see what is already known, andmcp__wheeler_query__query_papersto see which papers are already recorded. Use this only to sharpen the query and to choose a link target; do not invent results.
Choose the query and link target
- The query is
$ARGUMENTSwhen provided. If empty, ask the user for a topic or derive one from the active question. - Compose a POSITIVE TOPICAL query: name the subject matter you want in plain research language, a few hundred characters at most. Paper Finder parses the query into a paper specification, and positive topic statements are the only shape its grammar covers.
- Do not put exclusions or negations in the query ("exclude mouse and rat studies", "avoid reviews", "not in humans"), and do not put meta-framing in it either ("find the core papers on", "the best work on", "identify key studies", "restrict to"). Both shapes fall outside the specification grammar: the search fails with
No rules matched for paper specificationand the whole run is lost. - Reshape a negative or meta-framed request into its positive equivalent before running. "Core papers on primate parasol mechanisms, excluding mouse and rat studies" becomes "macaque and human OFF-parasol ganglion cell mechanisms". Say what the papers should be ABOUT instead of what they should not be, then apply the excluded criteria yourself when you review the returned papers.
- Pick at most one link target: the Question (
Q-...) or Plan (PL-...) this search supports. Each found paper will be linkedRELEVANT_TOthat node. If there is no clear target, run without one.
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.
- 8d ago First seen · 70 lines · 27 tokens per session scan A 4e43f73aff17
wh:asta-lit is a command published in the GitHub repository maxwellsdm1867/wheeler (11 stars, last pushed 7d ago), licensed MIT. It adds 27 tokens to every session and 1,346 once invoked, about $0.0001 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.
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