research[fig]

research[fig] is a skill for Codex from LMDHQ-0420/ResearchPilot-Skills. It costs 74 tokens per session (1,404 once invoked), scanned A, original, MIT.

A research figure-making workflow that reads relevant code, data, and documentation, then creates and checks publication figures in the project's code/fig/ folder.

In plain words
What is it for?
Use it to turn real research data into journal-ready plots with consistent physical dimensions and terminology. It can also revise and validate existing figures.
Why use it?
It keeps figure files and temporary outputs contained while handling sizing, organization, plotting, exports, and quality checks after the figure design is decided.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it to turn real research data into journal-ready plots with consistent physical dimensions and terminology. It can also revise and validate existing figures.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/lmdhq-0420/researchpilot-skills/research-fig
Install

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.

Any agent
npx skills add LMDHQ-0420/ResearchPilot-Skills --skill research-fig
Clone the repo
git clone --depth 1 https://github.com/LMDHQ-0420/ResearchPilot-Skills

Made for: Codex.

Wrote 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.

agentmods badge for research[fig]

README.md
[![agentmods](https://agentmods.dev/badge/skills/lmdhq-0420/researchpilot-skills/research-fig/github.svg)](https://agentmods.dev/skills/lmdhq-0420/researchpilot-skills/research-fig)
Your own site
<a href="https://agentmods.dev/skills/lmdhq-0420/researchpilot-skills/research-fig"><img src="https://agentmods.dev/badge/skills/lmdhq-0420/researchpilot-skills/research-fig/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.

agentmods 80×15 button for research[fig]

Your own site · 80×15
<a href="https://agentmods.dev/skills/lmdhq-0420/researchpilot-skills/research-fig"><img src="https://agentmods.dev/badge/skills/lmdhq-0420/researchpilot-skills/research-fig.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 74 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,404 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00074 $0.01404
Opus 5.5 $0.00030 $0.00562
Sonnet 5.5 $0.00015 $0.00281
Haiku 4.5 $0.00007 $0.00140

Measured 1mo ago against content hash 606a7f2c2ea8, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

research[fig] 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.

skills/ResearchPilot-Skills-en/research[fig]/SKILL.md · 105 lines

How it starts

The opening of the file, as written. The whole thing — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Scientific Figure Production

The user determines what each figure shows, its statistical scope, visual expression, and arrangement. This Skill handles physical-size calculation, directory organization, plotting implementation, synchronized export, and quality assurance for the confirmed design.

This Skill is fully independent. It is not a ResearchPilot phase and does not invoke or depend on any other Skill.

Access Boundary

Allowed reads

Read project material relevant to the current figures when needed to understand the research objective, data semantics, statistical implementation, and established terminology. This may include:

  • source code, configurations, logs, result files, and data files under code/;
  • relevant Markdown, LaTeX, and text documentation under docs/ or elsewhere in the project;
  • other data sources explicitly identified by the user.

Read only what is needed for the current figure task. Read access never implies permission to modify a file. Explicit requirements in the current conversation take precedence over older project documentation.

Only allowed write location

Every new, modified, overwritten, cached, or temporary project file must remain under code/fig/ at the project root. Do not modify any project file outside code/fig/, including source code, result data, documentation, dependency manifests, or configuration files.

  • Create code/fig/ if it does not exist.
  • Do not create backups, snapshots, archives, history copies, or timestamped previous versions.
  • Do not copy source data into code/fig/ unless the user explicitly requests it.
  • Do not modify dependency files or the project environment on your own. If existing tools are insufficient, report the missing capability and ask the user to decide.

Required Built-In Specifications

Before planning any figure, read all of the following files completely:

Read the full file on GitHub · 105 lines

Files

What ships with it

6 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.

Changes

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.

  1. 1mo ago First seen · 105 lines · 74 tokens per session scan A 606a7f2c2ea8

Subscribe to this mod's changes

research[fig] is a skill published in the GitHub repository LMDHQ-0420/ResearchPilot-Skills (322 stars, last pushed 1mo ago), licensed MIT. It adds 74 tokens to every session and 1,404 once invoked, about $0.0003 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 2026-09-15.

Related

Other skills, from other repositories

instrument-data-to-allotrope

Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV. Use this skill when scientists need to standardize instrument data for LIMS systems, data lakes, or downstream analysis. Supports auto-detection of instrument types. Outputs include full…

anthropics/knowledge-work-plugins · 123 tokens

matlab

Builds, reviews, migrates, and plans MATLAB or GNU Octave numerical workflows. Use for arrays, tabular/time data, tests, projects, graphics, MAT files, and explicit Python interoperability.

K-Dense-AI/scientific-agent-skills · 44 tokens

exploratory-data-analysis

Performs bounded, local exploratory analysis of explicitly supported scientific files. Supports redacted CSV/TSV/JSON profiles; optional NumPy, HDF5, FASTA/FASTQ, and basic image metadata inspection; missingness/leakage audits; outlier and transformation sensitivity; and rigorous EDA report scaffolds. Other domain…

K-Dense-AI/scientific-agent-skills · 83 tokens

phylogenetics

Builds and analyzes phylogenetic trees using MAFFT multiple sequence alignment, IQ-TREE maximum likelihood with ModelFinder and branch support, and FastTree approximate inference. Uses ETE3 for tree summaries and visualization. Applies to homologous nucleotide or protein sequences, microbial gene trees, protein…

K-Dense-AI/scientific-agent-skills · 71 tokens

research-engineer

An uncompromising Academic Research Engineer. Operates with absolute scientific rigor, objective criticism, and zero flair. Focuses on theoretical correctness, formal verification, and optimal implementation across any required technology.

davila7/claude-code-templates · 43 tokens

presenting-conference-talks

Generates conference presentation slides (Beamer LaTeX PDF and editable PPTX) from a compiled paper with speaker notes and talk script. Use when preparing oral talks, spotlight presentations, or invited talks for ML and systems conferences.

Orchestra-Research/AI-Research-SKILLs · 53 tokens