Antislop Human
miqdadbadjuber/anti-slop
Human and accessibility skill for antislop. An agent skill from miqdadbadjuber/anti-slop.
Predict synthetic accessibility and retrosynthetic pathways for novel molecules using the IBM RXN API.
$ npx skills add learningmatter-mit/AtomisticSkills --skill drug-retrosynthesis -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install learningmatter-mit/AtomisticSkills drug-retrosynthesis --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/learningmatter-mit/AtomisticSkills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/drug-retrosynthesis .claude/skills/drug-retrosynthesis && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "drug-retrosynthesis" agent skill from https://github.com/learningmatter-mit/AtomisticSkills/tree/main/skills/drug-retrosynthesis into .claude/skills/drug-retrosynthesis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "drug-retrosynthesis", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/learningmatter-mit/AtomisticSkills/tree/main/skills/drug-retrosynthesisType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add learningmatter-mit/AtomisticSkills --skill drug-retrosynthesis -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install learningmatter-mit/AtomisticSkills drug-retrosynthesis --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/learningmatter-mit/AtomisticSkills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/drug-retrosynthesis .agents/skills/drug-retrosynthesis && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "drug-retrosynthesis" agent skill from https://github.com/learningmatter-mit/AtomisticSkills/tree/main/skills/drug-retrosynthesis into .agents/skills/drug-retrosynthesis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "drug-retrosynthesis", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add learningmatter-mit/AtomisticSkills --skill drug-retrosynthesis -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install learningmatter-mit/AtomisticSkills drug-retrosynthesis --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/learningmatter-mit/AtomisticSkills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/drug-retrosynthesis .cursor/skills/drug-retrosynthesis && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "drug-retrosynthesis" agent skill from https://github.com/learningmatter-mit/AtomisticSkills/tree/main/skills/drug-retrosynthesis into .cursor/skills/drug-retrosynthesis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "drug-retrosynthesis", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/learningmatter-mit/AtomisticSkills.git --path skills/drug-retrosynthesis--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add learningmatter-mit/AtomisticSkills --skill drug-retrosynthesis -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install learningmatter-mit/AtomisticSkills drug-retrosynthesis --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/learningmatter-mit/AtomisticSkills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/drug-retrosynthesis .gemini/skills/drug-retrosynthesis && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "drug-retrosynthesis" agent skill from https://github.com/learningmatter-mit/AtomisticSkills/tree/main/skills/drug-retrosynthesis into .gemini/skills/drug-retrosynthesis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "drug-retrosynthesis", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install learningmatter-mit/AtomisticSkills drug-retrosynthesisInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add learningmatter-mit/AtomisticSkills --skill drug-retrosynthesis -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/learningmatter-mit/AtomisticSkills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/drug-retrosynthesis .github/skills/drug-retrosynthesis && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "drug-retrosynthesis" agent skill from https://github.com/learningmatter-mit/AtomisticSkills/tree/main/skills/drug-retrosynthesis into .github/skills/drug-retrosynthesis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "drug-retrosynthesis", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add learningmatter-mit/AtomisticSkills --skill drug-retrosynthesis -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install learningmatter-mit/AtomisticSkills drug-retrosynthesis --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/learningmatter-mit/AtomisticSkills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/drug-retrosynthesis .opencode/skills/drug-retrosynthesis && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "drug-retrosynthesis" agent skill from https://github.com/learningmatter-mit/AtomisticSkills/tree/main/skills/drug-retrosynthesis into .opencode/skills/drug-retrosynthesis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "drug-retrosynthesis", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
drug-retrosynthesisPredict synthetic accessibility and retrosynthetic pathways for novel molecules using the IBM RXN API.
Drug Retrosynthesis is an agent skill from learningmatter-mit/AtomisticSkills. Predict synthetic accessibility and retrosynthetic pathways for novel molecules using the IBM RXN API.
Its SKILL.md is about 650 tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts (for example `examples/aspirin_retrosynthesis/README.md`, `examples/aspirin_retrosynthesis/retrosynthesis_result.json` and `scripts/evaluate_ibm_rxn.py`).
It sits in Frontend & Design, covering Creative writing and fiction, Drug discovery and cheminformatics and Accessibility. The repository describes itself as: Integrating AtomisticSkills into Agentic IDEs (Cursor, Claude Code, Codex, Google Antigravity, Hermes Agent, etc). The licence is MIT.
3 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 6257444. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
pipFrom the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
rxn.res.ibm.comdoi.orggithub.comFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
RXN_API_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Drug Retrosynthesis loads about 647 tokens when it runs. Until then it costs about 31 tokens; SKILL.md has 270 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
The full file from learningmatter-mit/AtomisticSkills at commit 6257444, republished under its MIT licence (© learningmatter-mit). 270 words, ~647 tokens.
.claude/skills/drug-retrosynthesis/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.To predict the retrosynthetic pathways and synthetic accessibility of novel small molecules (such as undocumented fluorinated gases) using the state-of-the-art transformer models provided by IBM RXN for Chemistry.
Ensure you have the valid canonical SMILES string for the target material or chemical you wish to synthesize.
Because IBM RXN is a cloud-hosted API, you must have an API Key.
export RXN_API_KEY="your-api-key-here"Use the wrapper script to submit the SMILES string to the IBM RXN API. The script will poll the server and return the predicted pathway and a confidence score for synthetic feasibility.
${CLAUDE_SKILL_DIR}/../../venv/run cpu python ${CLAUDE_SKILL_DIR}/scripts/evaluate_ibm_rxn.py "target_smiles" --steps 3Evaluating the synthetic pathway for a fluorinated gas analog (e.g., 2,3,3,3-tetrafluoropropene: FC(F)(F)C(F)=C):
export RXN_API_KEY="api-key-here"
${CLAUDE_SKILL_DIR}/../../venv/run cpu python ${CLAUDE_SKILL_DIR}/scripts/evaluate_ibm_rxn.py "FC(F)(F)C(F)=C" --steps 3cpu environment.rxn4chemistry python library (pip install rxn4chemistry). If not installed, the script will gracefully exit with instructions.Author: Sathya Edamadaka Contact: GitHub @snme
© learningmatter-mit, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 3 other files (scripts) in skills/drug-retrosynthesis of learningmatter-mit/AtomisticSkills.
Open the folder on GitHubat commit 6257444
Drug Retrosynthesis next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Drug Retrosynthesis this skilllearningmatter-mit/AtomisticSkills | 176 | — | ~647 | Automated safety check: Pass | MIT | |
| Antislop Humanmiqdadbadjuber/anti-slop | 5.2k | — | ~2.8k | Automated safety check: Pass | MIT | |
| Bio Atac Seq Allele Specific AccessibilityGPTomics/bioSkills | 1.2k | 2 repos | ~4.3k | Automated safety check: Pass | MIT | |
| Bio Atac Seq Differential AccessibilityGPTomics/bioSkills | 1.2k | 2 repos | ~6k | Automated safety check: Pass | MIT | |
| Bio Workflows Atacseq PipelineGPTomics/bioSkills | 1.2k | 1 repos | ~4.1k | Automated safety check: Pass | MIT | |
| Md Reviewborghei/Claude-Skills | 886 | — | ~3.8k | Automated safety check: Pass | MIT |
miqdadbadjuber/anti-slop
Human and accessibility skill for antislop. An agent skill from miqdadbadjuber/anti-slop.
GPTomics/bioSkills
Detect allele-specific chromatin accessibility from ATAC-seq using WASP, GATK ASEReadCounter, or RASQUAL.
GPTomics/bioSkills
Identify differentially accessible chromatin regions across conditions using DiffBind, csaw, DESeq2, or edgeR.
GPTomics/bioSkills
Orchestrates the end-to-end bulk ATAC-seq pipeline from FASTQ to differential accessibility and TF footprints, chaining Nextera-aware fastp QC, Bowtie2 alignment, chrM removal, dedup, a single Tn5…
borghei/Claude-Skills
Pre-publication quality gate for authored Markdown — heading structure, on-disk link resolution, readability, accessibility, terminology.
fabricioctelles/skills
Objectively evaluate a UI/web design against the pols.dev anti-slop design law: detect catalogued slop tells with cited evidence, score 8 weighted axes (color, type, components, layout, motion…
learningmatter-mit/AtomisticSkills
Define a docking search box (center coordinates + box dimensions in Angstroms) from a co-crystal ligand, binding-site residues, or a saved JSON specification.
learningmatter-mit/AtomisticSkills
Build a solvated, charge-neutralized protein-ligand complex for OpenMM molecular dynamics simulation.
learningmatter-mit/AtomisticSkills
Identify and rank ligandable pockets on a protein structure or model using geometry (fpocket) or an ML predictor (P2Rank).
learningmatter-mit/AtomisticSkills
Calculate homolytic and heterolytic bond dissociation energies (BDEs) for all single bonds in a molecule using MLIPs with RDKit fragmentation.
learningmatter-mit/AtomisticSkills
Generate molecular conformers with RDKit ETKDG, relax with MLIPs, and rank by energy with Boltzmann weighting.
learningmatter-mit/AtomisticSkills
Query multiple MOF databases (QMOF via MPContribs; ARC-MOF DB7/Majumdar et al.
Predict synthetic accessibility and retrosynthetic pathways for novel molecules using the IBM RXN API. Drug Retrosynthesis is an agent skill from learningmatter-mit/AtomisticSkills. Predict synthetic accessibility and retrosynthetic pathways for novel molecules using the IBM RXN API.
Drug Retrosynthesis fits situations like: tasks that involve Creative writing and fiction; tasks that involve Drug discovery and cheminformatics; tasks that involve Accessibility.
Run `npx skills add learningmatter-mit/AtomisticSkills --skill drug-retrosynthesis -a claude-code`. Or copy the skill folder (skills/drug-retrosynthesis in learningmatter-mit/AtomisticSkills) into .claude/skills/drug-retrosynthesis in your project. Claude Code loads it when a task matches its description.
Run `npx skills add learningmatter-mit/AtomisticSkills --skill drug-retrosynthesis -a codex`. Or copy the skill folder (skills/drug-retrosynthesis in learningmatter-mit/AtomisticSkills) into .agents/skills/drug-retrosynthesis in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add learningmatter-mit/AtomisticSkills --skill drug-retrosynthesis -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/drug-retrosynthesis, .gemini/skills/drug-retrosynthesis, .github/skills/drug-retrosynthesis and .opencode/skills/drug-retrosynthesis in your project.
Going by SKILL.md and its folder, Drug Retrosynthesis needs Python for the scripts in its folder, the command-line tools its instructions call (pip) and credentials named RXN_API_KEY. Our summary lists: Python 3; A credential in RXN_API_KEY.
SKILL.md names 3 domains. As links in the text: rxn.res.ibm.com, doi.org and github.com. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Drug Retrosynthesis is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 647 tokens (SKILL.md is roughly 2.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Drug Retrosynthesis: Antislop Human (miqdadbadjuber/anti-slop, 5.2k stars), Bio Atac Seq Allele Specific Accessibility (GPTomics/bioSkills, 1.2k stars), Bio Atac Seq Differential Accessibility (GPTomics/bioSkills, 1.2k stars) and Bio Workflows Atacseq Pipeline (GPTomics/bioSkills, 1.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
learningmatter-mit (a GitHub organization) maintains it in learningmatter-mit/AtomisticSkills, which has 176 GitHub stars. The repository holds 129 skills in this directory. The repository was last updated on October 7, 2026.
Source: learningmatter-mit/AtomisticSkills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.