Dbsnp Database
google-deepmind/science-skills
A skill your agent uses when you want to look up, map, and search for short genetic variants (SNPs, indels) in NCBI's dbSNP database.
Access ENCORI (StarBase) database for miRNA-target, RNA-RNA, and other regulatory data.
$ npx skills add aipoch/medical-research-skills --skill encori-api -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install aipoch/medical-research-skills encori-api --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/aipoch/medical-research-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/'scientific-skills/Evidence Insight/encori-api' .claude/skills/encori-api && 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 "encori-api" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/scientific-skills/Evidence%20Insight/encori-api into .claude/skills/encori-api/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "encori-api", 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/aipoch/medical-research-skills/tree/main/scientific-skills/Evidence%20Insight/encori-apiType 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 aipoch/medical-research-skills --skill encori-api -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install aipoch/medical-research-skills encori-api --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aipoch/medical-research-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/'scientific-skills/Evidence Insight/encori-api' .agents/skills/encori-api && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "encori-api" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/scientific-skills/Evidence%20Insight/encori-api into .agents/skills/encori-api/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "encori-api", 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 aipoch/medical-research-skills --skill encori-api -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install aipoch/medical-research-skills encori-api --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aipoch/medical-research-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/'scientific-skills/Evidence Insight/encori-api' .cursor/skills/encori-api && 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 "encori-api" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/scientific-skills/Evidence%20Insight/encori-api into .cursor/skills/encori-api/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "encori-api", 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/aipoch/medical-research-skills.git --path 'scientific-skills/Evidence Insight/encori-api'--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 aipoch/medical-research-skills --skill encori-api -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install aipoch/medical-research-skills encori-api --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aipoch/medical-research-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/'scientific-skills/Evidence Insight/encori-api' .gemini/skills/encori-api && 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 "encori-api" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/scientific-skills/Evidence%20Insight/encori-api into .gemini/skills/encori-api/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "encori-api", 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 aipoch/medical-research-skills encori-apiInstalls 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 aipoch/medical-research-skills --skill encori-api -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/aipoch/medical-research-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/'scientific-skills/Evidence Insight/encori-api' .github/skills/encori-api && 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 "encori-api" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/scientific-skills/Evidence%20Insight/encori-api into .github/skills/encori-api/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "encori-api", 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 aipoch/medical-research-skills --skill encori-api -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install aipoch/medical-research-skills encori-api --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aipoch/medical-research-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/'scientific-skills/Evidence Insight/encori-api' .opencode/skills/encori-api && 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 "encori-api" agent skill from https://github.com/aipoch/medical-research-skills/tree/main/scientific-skills/Evidence%20Insight/encori-api into .opencode/skills/encori-api/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "encori-api", 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.
encori-apiAccess ENCORI (StarBase) database for miRNA-target, RNA-RNA, and other regulatory data.
Encori API is an agent skill from aipoch/medical-research-skills. Access ENCORI (StarBase) database for miRNA-target, RNA-RNA, and other regulatory data. Invoke when user asks to search ENCORI or retrieve regulatory interactions.
Its SKILL.md is about 2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including scripts (for example `encori-api_audit_result_v2.json`, `scripts/encori_client.py` and `scripts/validate_skill.py`).
It sits in Research & Science, covering Bioinformatics. The repository describes itself as: Hundreds of agent skills for medical research, including protocol design, data analysis, evidence insights, and academic writing. The licence is MIT.
8 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 686e09d. 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 2 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
pythonFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Encori API loads about 2k tokens when it runs. Until then it costs about 44 tokens; SKILL.md has 859 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 aipoch/medical-research-skills at commit 686e09d, republished under its MIT licence (© aipoch). 859 words, ~2,000 tokens.
.claude/skills/encori-api/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.scripts/encori_client.py plus 1 additional script(s).requests librarySee ## Usage above for related details.
cd "20260316/scientific-skills/Evidence Insight/encori-api"
python -m py_compile scripts/encori_client.py
python scripts/encori_client.py --helpExample run plan:
CONFIG block or documented parameters if the script uses fixed settings.python scripts/encori_client.py with the validated inputs.scripts/encori_client.py with additional helper scripts under scripts/.Run this minimal command first to verify the supported execution path:
python scripts/validate_skill.py --helpThis skill allows you to query the ENCORI (The Encyclopedia of RNA Interactomes) database programmatically. It supports multiple endpoints for retrieving data on miRNA-target interactions, RNA-RNA networks, RBP-target interactions, and more.
The skill provides access to the following data modules via the encori_client.py script:
Run the python script .trae/skills/encori-api/scripts/encori_client.py with the appropriate subcommand and arguments.
Most endpoints support:
--assembly: Genome version (default: hg38)--geneType: Main gene type (default: mRNA)--cellType: Cell type (default: all)Get all miRNA data for PDCD4 in HeLa cells:
python .trae/skills/encori-api/scripts/encori_client.py miRNATarget --target PDCD4 --cellType HeLaGet all miRNA cleavage data for TP53:
python .trae/skills/encori-api/scripts/encori_client.py degradomeRNA --target TP53Get interaction networks of TP53-mRNA:
python .trae/skills/encori-api/scripts/encori_client.py RNARNA --RNA TP53Get ceRNAs for a specific miRNA family:
python .trae/skills/encori-api/scripts/encori_client.py ceRNA --family "miR-10-5p"Get data of all RBPs that bind to TP53 in HeLa cells:
python .trae/skills/encori-api/scripts/encori_client.py RBPTarget --target TP53 --cellType HeLaGet RBP-MYC interactions in breast carcinoma:
python .trae/skills/encori-api/scripts/encori_client.py RBPDisease --tissue breast --disease carcinoma --target MYCRetrieve binding motifs containing 'UGCAUG':
python .trae/skills/encori-api/scripts/encori_client.py RBPMotifScan --motif UGCAUGRetrieve binding sites for a specific dataset ID:
python .trae/skills/encori-api/scripts/encori_client.py bindingSite --datasetID SBDH2131encori_api_result.md unless the skill documentation defines a better convention.Run this minimal verification path before full execution when possible:
python scripts/encori_client.py --helpExpected output format:
Result file: encori_api_result.md
Validation summary: PASS/FAIL with brief notes
Assumptions: explicit list if any© aipoch, 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 scientific-skills/Evidence Insight/encori-api of aipoch/medical-research-skills.
Open the folder on GitHubat commit 686e09d
Encori API 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 |
|---|---|---|---|---|---|---|
| Encori API this skillaipoch/medical-research-skills | 2k | — | ~2k | Automated safety check: Pass | MIT | |
| Dbsnp Databasegoogle-deepmind/science-skills | 3.2k | 3 repos | ~3.4k | Automated safety check: Notes | Apache-2.0 | |
| Metabolic Study Planneraiming-lab/AutoResearchClaw | 15k | — | ~1.9k | Automated safety check: Pass | MIT | |
| 13C Metabolic Flux AnalysisK-Dense-AI/scientific-agent-skills | 48k | 1 repos | ~3.2k | Automated safety check: Pass | MIT | |
| Alphagenome Single Variant Analysisgoogle-deepmind/science-skills | 3.2k | 2 repos | ~3k | Automated safety check: Notes | Apache-2.0 | |
| MFA Pipeline Orchestratoraiming-lab/AutoResearchClaw | 15k | — | ~923 | Automated safety check: Pass | MIT |
google-deepmind/science-skills
A skill your agent uses when you want to look up, map, and search for short genetic variants (SNPs, indels) in NCBI's dbSNP database.
aiming-lab/AutoResearchClaw
Turns a broad metabolic modelling topic into a concrete, paper-shaped plan with organism, model, perturbations, metrics and figures before any FBA code is written.
K-Dense-AI/scientific-agent-skills
Estimates reaction fluxes inside cells from steady-state carbon-13 labeling data with a bundled mfapy-based solver, and reports which fluxes the data pin down.
google-deepmind/science-skills
Analyzes genetic variant effects on gene expression (RNA-seq), chromatin accessibility (DNASE), histone marks (ChIP), and transcription factors using the AlphaGenome API.
aiming-lab/AutoResearchClaw
Runs a metabolic flux analysis from model loading to phenotype prediction and figures by handing work to four sub-agents in sequence.
xuzhougeng/wisp-science
A skill your agent uses when designing, reviewing, or implementing single-cell RNA-seq QC in Python or R with a human-in-the-loop, data-driven approach.
aipoch/medical-research-skills
Complete workflow for generating academic research posters from PDF literature; use when you need to extract paper content from PDFs and produce a LaTeX-based poster…
aipoch/medical-research-skills
Analyzes clinical diagnostic accuracy studies for bias using the QUADAS-2 tool.
aipoch/medical-research-skills
Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats.
aipoch/medical-research-skills
A toolkit for preparing ISO 13485:2016 certification documentation for medical device QMS.
aipoch/medical-research-skills
Recommends target journals for manuscript submission by analyzing the paper topic/abstract and the journal distribution of similar PubMed literature; use when users ask for journal…
aipoch/medical-research-skills
Creates academic-poster writing packages for LaTeX using beamerposter, tikzposter, or baposter.
Categories
Access ENCORI (StarBase) database for miRNA-target, RNA-RNA, and other regulatory data. Encori API is an agent skill from aipoch/medical-research-skills. Access ENCORI (StarBase) database for miRNA-target, RNA-RNA, and other regulatory data.
Encori API fits situations like: asks to search ENCORI; retrieve regulatory interactions.
Run `npx skills add aipoch/medical-research-skills --skill encori-api -a claude-code`. Or copy the skill folder (scientific-skills/Evidence Insight/encori-api in aipoch/medical-research-skills) into .claude/skills/encori-api in your project. Claude Code loads it when a task matches its description.
Run `npx skills add aipoch/medical-research-skills --skill encori-api -a codex`. Or copy the skill folder (scientific-skills/Evidence Insight/encori-api in aipoch/medical-research-skills) into .agents/skills/encori-api 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 aipoch/medical-research-skills --skill encori-api -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/encori-api, .gemini/skills/encori-api, .github/skills/encori-api and .opencode/skills/encori-api in your project.
Going by SKILL.md and its folder, Encori API needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. 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.
Encori API is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 2k tokens (SKILL.md is roughly 8k 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 Encori API: Dbsnp Database (google-deepmind/science-skills, 3.2k stars), Metabolic Study Planner (aiming-lab/AutoResearchClaw, 15k stars), 13C Metabolic Flux Analysis (K-Dense-AI/scientific-agent-skills, 48k stars) and Alphagenome Single Variant Analysis (google-deepmind/science-skills, 3.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
aipoch (a GitHub organization) maintains it in aipoch/medical-research-skills, which has 1,974 GitHub stars. The repository holds 567 skills in this directory. The repository was last updated on September 17, 2026.
Source: aipoch/medical-research-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.