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 dralkh/iktinah --skill research-lookupgit clone --depth 1 https://github.com/dralkh/iktinahWrote 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/dralkh/iktinah/research-lookup)<a href="https://agentmods.dev/skills/dralkh/iktinah/research-lookup"><img src="https://agentmods.dev/badge/skills/dralkh/iktinah/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/dralkh/iktinah/research-lookup"><img src="https://agentmods.dev/badge/skills/dralkh/iktinah/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 | $0.00097 | $0.05695 |
| Opus 5.5 | $0.00039 | $0.02278 |
| Sonnet 5.5 | $0.00019 | $0.01139 |
| Haiku 4.5 | $0.00010 | $0.00570 |
Grade C, and why
research-lookup scanned grade C with 2 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.
Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
curl -fsSL https://parallel.ai/install.sh | bash Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -fsSL https://parallel.ai/install.sh | bash This is a copy
100% identical to research-lookup — 0 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 — 551 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Research Information Lookup
Overview
This skill provides real-time research information lookup with intelligent backend routing:
- parallel-cli search (parallel-web skill): Primary and default backend for all research queries. Fast, cost-effective web search with academic source prioritization. Uses
parallel-cli searchwith--include-domainsfor scholarly sources. - Parallel Chat API (
coremodel): Secondary backend for complex, multi-source deep research requiring extended synthesis (60s-5min latency). Use only when explicitly needed. - Perplexity sonar-pro-search (via OpenRouter): Used only for academic-specific paper searches where scholarly database access is critical.
The skill automatically detects query type and routes to the optimal backend.
When to Use This Skill
Use this skill when you need:
- Current Research Information: Latest studies, papers, and findings
- Literature Verification: Check facts, statistics, or claims against current research
- Background Research: Gather context and supporting evidence for scientific writing
- Citation Sources: Find relevant papers and studies to cite
- Technical Documentation: Look up specifications, protocols, or methodologies
- Market/Industry Data: Current statistics, trends, competitive intelligence
- Recent Developments: Emerging trends, breakthroughs, announcements
Visual Enhancement with Scientific Schematics
When creating documents with this skill, always consider adding scientific diagrams and schematics to enhance visual communication.
If your document does not already contain schematics or diagrams:
- Use the scientific-schematics skill to generate AI-powered publication-quality diagrams
- Simply describe your desired diagram in natural language
python scripts/generate_schematic.py "your diagram description" -o figures/output.png
Automatic Backend Selection
The skill automatically routes queries to the best backend based on content:
What ships with it
7 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 · 551 lines · 97 tokens per session scan C e8838f7f7c70
research-lookup is a skill published in the GitHub repository dralkh/iktinah (77 stars, last pushed 3mo ago), licensed MIT. It adds 97 tokens to every session and 5,695 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). It is 100% identical to research-lookup, differing in 0 lines, and is treated as a copy.
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