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 LigphiDonk/Oh-my--paper --skill research-idea-convergencegit clone --depth 1 https://github.com/LigphiDonk/Oh-my--paperWrote 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/ligphidonk/oh-my--paper/research-idea-convergence)<a href="https://agentmods.dev/skills/ligphidonk/oh-my--paper/research-idea-convergence"><img src="https://agentmods.dev/badge/skills/ligphidonk/oh-my--paper/research-idea-convergence/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/ligphidonk/oh-my--paper/research-idea-convergence"><img src="https://agentmods.dev/badge/skills/ligphidonk/oh-my--paper/research-idea-convergence.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.01998 |
| Opus 5 | $0.00018 | $0.00999 |
| Sonnet 5 | $0.00007 | $0.00400 |
| Haiku 4.5 | $0.00004 | $0.00200 |
Grade A, and why
Research Idea Convergence 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 11d 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 — 238 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Research Idea Convergence
Canonical Summary
Interactive research direction selection for academic projects. Generates multiple candidate research directions from survey/literature results, presents them with structured comparison for user selection, then converges to a final publishable angle.
Trigger Rules
Use this skill when:
- The project enters the ideation stage after completing the survey stage
- The user asks about research direction, publishable angle, or idea selection
- The current task involves generating or selecting a research direction
Do NOT use this skill when:
- The user has already decided on a specific research direction and just wants to refine it
- The project is still in the survey stage (use survey skills instead)
Execution Contract
- Resolve every relative path from this skill directory first.
- Do not write generated artifacts back into the skill directory; save them inside the active project workspace.
- Never skip the user selection checkpoint — this is the core purpose of this skill.
Working Rules
- Read existing survey outputs before generating candidates.
- Generate 2-4 candidate directions, no more, no fewer.
- Each candidate must be concrete enough to evaluate (not vague platitudes).
- [USER_CHECKPOINT] — Always stop and wait for user selection. Never auto-select.
- Only after user confirmation, write the final direction to output files.
Step-by-step Instructions
Step 1 — Read Survey Context
Read all available survey outputs to understand the research landscape:
| File | Purpose |
|---|---|
.pipeline/docs/research_brief.json |
Research topic, goal, target venue |
.viewerleaf/research/Survey/reports/*.md |
Literature screening, gap summary |
.pipeline/tasks/tasks.json |
Current task states and progress |
Extract:
- Research domain and specific problem area
- Key gaps identified in the literature
- Strong baselines that exist (traditional and learning-based)
- Available datasets / experimental platforms
- Target venue constraints (if specified)
What ships with it
1 file 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.
- 11d ago First seen · 238 lines · 37 tokens per session scan A f55280d111e8
Research Idea Convergence is a skill published in the GitHub repository LigphiDonk/Oh-my--paper (722 stars, last pushed 4mo ago), licensed MIT. It adds 37 tokens to every session and 1,998 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.
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