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 research-lookupgit 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/research-lookup)<a href="https://agentmods.dev/skills/agentlas-ai/agentlas-desktop/research-lookup"><img src="https://agentmods.dev/badge/skills/agentlas-ai/agentlas-desktop/research-lookup/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/research-lookup"><img src="https://agentmods.dev/badge/skills/agentlas-ai/agentlas-desktop/research-lookup.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 | $0.00082 | $0.03162 |
| Opus 5.5 | $0.00033 | $0.01265 |
| Sonnet 5.5 | $0.00016 | $0.00632 |
| Haiku 4.5 | $0.00008 | $0.00316 |
Grade A, and why
research-lookup 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 1mo 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.
This is a copy
100% identical to research-lookup — 56 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 — 356 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Research Lookup
Compile the external evidence needed to plan and write a high-quality scientific manuscript. The default academic workflow targets 60 verified, unique references and produces a manuscript-ready research packet rather than a loose list of links.
Scope and boundaries
Use this skill when the user explicitly wants:
- literature and background research for a manuscript
- many high-quality academic references
- evidence supporting or contradicting a scientific claim
- a structured evidence matrix or claim-to-source map
- current studies, methods precedent, mechanisms, limitations, or research gaps
Do not activate it for casual factual questions that do not need research, private or unpublished material, or a claim that can be answered from user-provided files. Query text is sent to Parallel. It is sent to OpenRouter only when Perplexity is explicitly selected or the user enables that fallback.
This skill compiles external evidence. It cannot supply the user's unpublished
study data, decide what their Results show, or guarantee systematic-review
completeness. For a PRISMA-style systematic review, use literature-review for
protocols, database-specific searching, screening, exclusion reasons, and risk of
bias.
Parallel-first routing
| Need | Backend | Selection |
|---|---|---|
| Manuscript literature and references | Parallel Search + Extract | Default; use --academic |
| Fast bounded web lookup | Parallel Search | Use --no-academic |
| Deep/exhaustive multi-source report | Parallel Research | Explicit --force-backend research |
| OpenAI-compatible synthesis with research basis | Parallel Chat | Explicit --force-backend chat |
| Optional alternative academic search | Perplexity via OpenRouter | Explicit or enabled failure fallback |
Important compatibility behavior:
- A bare script query uses Parallel Search. Chat Completions remains available only through explicit backend selection.
--force-backend parallelremains an alias for explicit Parallel Research.- Academic keywords select the multi-pass Parallel academic strategy; they do not silently switch the provider to Perplexity.
--batch,--json,-o/--output, theResearchLookupclass, progress output, and the existing result envelope remain supported.
What ships with it
3 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.
- 1mo ago First seen · 356 lines · 82 tokens per session scan A 7288cf334db5
research-lookup is a skill published in the GitHub repository agentlas-ai/agentlas-desktop (6 stars, last pushed yesterday), licensed Apache-2.0. It adds 82 tokens to every session and 3,162 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to research-lookup, differing in 56 lines, and is treated as a copy.
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