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 jameslemon2002/research-idea-explorer --skill research-idea-explorergit clone --depth 1 https://github.com/jameslemon2002/research-idea-explorerWrote 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/jameslemon2002/research-idea-explorer/research-idea-explorer)<a href="https://agentmods.dev/skills/jameslemon2002/research-idea-explorer/research-idea-explorer"><img src="https://agentmods.dev/badge/skills/jameslemon2002/research-idea-explorer/research-idea-explorer/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/jameslemon2002/research-idea-explorer/research-idea-explorer"><img src="https://agentmods.dev/badge/skills/jameslemon2002/research-idea-explorer/research-idea-explorer.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 | $0.00040 | $0.01171 |
| Opus 5 | $0.00020 | $0.00585 |
| Sonnet 5 | $0.00008 | $0.00234 |
| Haiku 4.5 | $0.00004 | $0.00117 |
Grade A, and why
research-idea-explorer 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.
How it starts
The opening of the file, as written. The whole thing — 116 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Research Idea Explorer Skill
Use this skill when the task is to generate, refine, or compare research ideas across disciplines.
Default policy
If the machine has the packaged CLI installed, prefer calling:
research-idea-explorer- or
rie
Use the repo-local fallback python -m research_idea_explorer.cli only when the packaged command is unavailable but the repository is present in the workspace.
Default to literature-first for every non-pure-functional invocation.
That means:
- If the user asks to generate, refine, compare, extend, red-team, or continue research ideas, search literature first.
- Treat literature retrieval as the default prelude, not an optional extra, unless the user explicitly says not to use it.
- Keep
hybridretrieval as the default strategy unless the user explicitly preferslexical,embedding, orgraph. - Only skip retrieval for pure utility actions such as:
- formatting an existing result
- inspecting
graph,summary, orneighbors - writing
feedback - explaining the output schema or command usage
The workflow is:
- Start with a literature-guided single-pass divergence across multiple research moves. The built-in persona set remains an internal way to keep those moves orthogonal, but it should not dominate the user-facing framing.
- Convert only the strongest brainstorm seeds into the shared internal schema:
Object,Puzzle,Claim,Contrast,Evidence,Scope,Stakes. - Reject ideas that are obvious near-duplicates or amount to a thin "method + topic" pairing.
- If the user asks to deepen, branch, compare, or continue from an accepted direction, run a second literature-guided mutation round around the retained frontier families.
- Push each retained idea one step further by adding: data source, minimal runnable design, likely failure mode, and why the question matters now.
- When available, use the persistent memory graph so the session does not keep revisiting the same research neighborhoods.
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.
- 10d ago First seen · 116 lines · 40 tokens per session scan A 90eaee956d4e
research-idea-explorer is a skill published in the GitHub repository jameslemon2002/research-idea-explorer (135 stars, last pushed 5mo ago), licensed MIT. It adds 40 tokens to every session and 1,171 once invoked, about $0.0002 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 skills, from other repositories
meta-paper-write
Use this meta-skill instead of answering directly when the current user asks to draft or produce a new academic/research paper or LaTeX manuscript. It uses multi-skill orchestration for manuscript workflows that need source search, citation planning, experiment or figure/table placeholders, drafting, length checks…
paper-revision-author
Revise independently drafted paper sections into one coherent LaTeX body before the abstract is written.
imaging-data-commons
Query and download public cancer imaging data from NCI Imaging Data Commons using idc-index. Use for accessing large-scale radiology (CT, MR, PET) and pathology datasets for AI training or research. No authentication required. Query by metadata, visualize in browser, check licenses.
clinical-reports
Write comprehensive clinical reports including case reports (CARE guidelines), diagnostic reports (radiology/pathology/lab), clinical trial reports (ICH-E3, SAE, CSR), and patient documentation (SOAP, H&P, discharge summaries). Full support with templates, regulatory compliance (HIPAA, FDA, ICH-GCP), and validation…
clinical-decision-support
Generate professional clinical decision support (CDS) documents for pharmaceutical and clinical research settings, including patient cohort analyses (biomarker-stratified with outcomes) and treatment recommendation reports (evidence-based guidelines with decision algorithms). Supports GRADE evidence grading…
gget
Fast CLI/Python queries to 20+ bioinformatics databases. Use for quick lookups: gene info, BLAST searches, AlphaFold structures, enrichment analysis. Best for interactive exploration, simple queries. For batch processing or advanced BLAST use biopython; for multi-database Python workflows use bioservices.