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 skills add agentlas-ai/agentlas-desktop --skill indexgit clone --depth 1 https://github.com/agentlas-ai/agentlas-desktopWrote 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/agentlas-ai/agentlas-desktop/index)<a href="https://agentmods.dev/skills/agentlas-ai/agentlas-desktop/index"><img src="https://agentmods.dev/badge/skills/agentlas-ai/agentlas-desktop/index/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/skills/agentlas-ai/agentlas-desktop/index"><img src="https://agentmods.dev/badge/skills/agentlas-ai/agentlas-desktop/index.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 | $0.00037 | $0.00240 |
| Opus 5.5 | $0.00015 | $0.00096 |
| Sonnet 5.5 | $0.00007 | $0.00048 |
| Haiku 4.5 | $0.00004 | $0.00024 |
Grade A, and why
agentlas-academic-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 29d 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
Academic Search Router
Use $search whenever a Science turn asks for or relies on prior research, literature review, novelty, state of the art, related papers, citations, or what has already been tried.
After discovery, use $full-text when a claim depends on the article body and the selected Source has a DOI or PMID. Prefer the exact Open Access full-text route over abstract-only promotion. If OA full text is unavailable, preserve the abstract-only limitation.
Do not invoke it for a purely local calculation or for manipulating an already-bound artifact unless that work introduces a new literature claim.
The search workflow requires search_academic_literature. Full-text verification uses retrieve_open_access_full_text for the Europe PMC Open Access route or retrieve_source_full_text_from_location for a lawful public HTTPS article location or a project-folder file. If the relevant tool or lawful location is unavailable, state the exact unavailable step; never substitute invented sources or arbitrary publisher scraping.
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.
- 29d ago Changed ab1acc6b6d03
- 1mo ago Changed · -25 lines · -10 tokens per session b809d33b3ce7
- 1mo ago First seen · 40 lines · 47 tokens per session scan A 12c38e14339c
agentlas-academic-search is a skill published in the GitHub repository agentlas-ai/agentlas-desktop (6 stars, last pushed yesterday), licensed Apache-2.0. It adds 37 tokens to every session and 240 once invoked, about $0.0001 per session on Opus 5.5. 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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