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/Agentic-Assets/corbis-literature-starter-kitWrote 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/agentic-assets/corbis-literature-starter-kit/lit-search)<a href="https://agentmods.dev/commands/agentic-assets/corbis-literature-starter-kit/lit-search"><img src="https://agentmods.dev/badge/commands/agentic-assets/corbis-literature-starter-kit/lit-search/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/agentic-assets/corbis-literature-starter-kit/lit-search"><img src="https://agentmods.dev/badge/commands/agentic-assets/corbis-literature-starter-kit/lit-search.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 | $0.00008 | $0.00172 |
| Opus 5 | $0.00004 | $0.00086 |
| Sonnet 5 | $0.00002 | $0.00034 |
| Haiku 4.5 | $0.00001 | $0.00017 |
Grade A, and why
lit-search 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 10d 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
Run the literature-positioning-map skill for the following topic or paper:
$ARGUMENTS
Execute the full mandatory search sequence:
- Inner ring:
search_papersfor the exact question + method - Middle ring: same question with different methods, same method with different questions
- Outer ring:
top_cited_articlesfor seminal papers - Recent working papers:
search_paperswithminYear: 2023 - Verify close papers:
get_paper_detailson the top 5 results
Produce:
- Closest 3-5 papers with specific differentiation
- A draft contribution paragraph
- A related-literature outline
- BibTeX export of all cited papers via
export_citations
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.
- 10d ago First seen · 21 lines · 8 tokens per session scan A b133f0efb803
lit-search is a command published in the GitHub repository Agentic-Assets/corbis-literature-starter-kit (11 stars, last pushed 4mo ago), licensed MIT. It adds 8 tokens to every session and 172 once invoked, about $0.0000 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
xray
Multi-dimensional paper audit — spawns 5 parallel sub-agents to check numerical accuracy, terminology consistency, code-paper alignment, citation accuracy, and evaluation integrity.
fortify
Select strongest ablations and anticipate reviewer questions. Reads paper and experiment results to prepare for peer review.
gaps
Literature gap analysis with web confirmation. Takes a research topic or question and maps existing work to find what's missing.
factcheck
Verify BibTeX entries and cited claims against DBLP and web sources. Checks author names, venues, years, and specific numerical claims.
paper-trail-review
Review and arbitrate problematic references (cascade-exhausted, unresolved UID, awaiting OCR). Generates an up-to-date report, walks through cases by category, and applies arbitration decisions to the registry.
paper-trail-audit-article
Per-citation audit of an academic article (LaTeX or Markdown). Produces RECEIPTS.md classifying each citation as VALID/ADJUST/INVALID/UNVERIFIABLE. Optional --warn inserts inline warnings in a .bak copy of the source.