Extract Clinical Entities To Fhir
maziyarpanahi/openmed
Extract clinical entities from synthetic or already de-identified text with OpenMed and map them into deterministic FHIR R4 resources and a Bundle.
Extract searchable entities and a concise summary from a document for EverRoom knowledge routing.
Custom licenceAuto-check passed
Install Entity Extraction
$ npx skills add NxcoreAI/EverRoom --skill entity-extraction -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install NxcoreAI/EverRoom entity-extraction --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/NxcoreAI/EverRoom.git skills-src && mkdir -p .claude/skills && cp -r skills-src/agents/knowledge/skills/entity-extraction .claude/skills/entity-extraction && 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 "entity-extraction" agent skill from https://github.com/NxcoreAI/EverRoom/tree/main/agents/knowledge/skills/entity-extraction into .claude/skills/entity-extraction/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "entity-extraction", 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/NxcoreAI/EverRoom/tree/main/agents/knowledge/skills/entity-extractionType 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 NxcoreAI/EverRoom --skill entity-extraction -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install NxcoreAI/EverRoom entity-extraction --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NxcoreAI/EverRoom.git skills-src && mkdir -p .agents/skills && cp -r skills-src/agents/knowledge/skills/entity-extraction .agents/skills/entity-extraction && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "entity-extraction" agent skill from https://github.com/NxcoreAI/EverRoom/tree/main/agents/knowledge/skills/entity-extraction into .agents/skills/entity-extraction/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "entity-extraction", 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 NxcoreAI/EverRoom --skill entity-extraction -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install NxcoreAI/EverRoom entity-extraction --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NxcoreAI/EverRoom.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/agents/knowledge/skills/entity-extraction .cursor/skills/entity-extraction && 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 "entity-extraction" agent skill from https://github.com/NxcoreAI/EverRoom/tree/main/agents/knowledge/skills/entity-extraction into .cursor/skills/entity-extraction/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "entity-extraction", 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/NxcoreAI/EverRoom.git --path agents/knowledge/skills/entity-extraction--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 NxcoreAI/EverRoom --skill entity-extraction -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install NxcoreAI/EverRoom entity-extraction --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NxcoreAI/EverRoom.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/agents/knowledge/skills/entity-extraction .gemini/skills/entity-extraction && 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 "entity-extraction" agent skill from https://github.com/NxcoreAI/EverRoom/tree/main/agents/knowledge/skills/entity-extraction into .gemini/skills/entity-extraction/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "entity-extraction", 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 NxcoreAI/EverRoom entity-extractionInstalls 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 NxcoreAI/EverRoom --skill entity-extraction -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/NxcoreAI/EverRoom.git skills-src && mkdir -p .github/skills && cp -r skills-src/agents/knowledge/skills/entity-extraction .github/skills/entity-extraction && 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 "entity-extraction" agent skill from https://github.com/NxcoreAI/EverRoom/tree/main/agents/knowledge/skills/entity-extraction into .github/skills/entity-extraction/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "entity-extraction", 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 NxcoreAI/EverRoom --skill entity-extraction -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install NxcoreAI/EverRoom entity-extraction --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NxcoreAI/EverRoom.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/agents/knowledge/skills/entity-extraction .opencode/skills/entity-extraction && 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 "entity-extraction" agent skill from https://github.com/NxcoreAI/EverRoom/tree/main/agents/knowledge/skills/entity-extraction into .opencode/skills/entity-extraction/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "entity-extraction", 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.
Facts
- Skill name
entity-extraction- GitHub stars
- 3k
- Token cost
- ~158 tokens
- SKILL.md length
- 19 words
- Files
- 1
- Skills in repo
- 17
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Extract searchable entities and a concise summary from a document for EverRoom knowledge routing.
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Entity Extraction is an agent skill from NxcoreAI/EverRoom. Extract searchable entities and a concise summary from a document for EverRoom knowledge routing.
Its SKILL.md is about 160 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
The repository describes itself as: EverRoom - A workspace that remembers your projects, decisions, and sources.
Example prompts
- “/entity-extraction”
What it can do on your machine
Read from SKILL.md and the folder at commit b0d58e5. It shows what the files ask for, not the result of running them.
Tool permissions
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.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Entity Extraction loads about 158 tokens when it runs. Until then it costs about 29 tokens; SKILL.md has 19 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.
Safety
Auto-check passed
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); files beside SKILL.md are not scanned.
SKILL.md
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 19 words (~158 tokens).
“从资料中抽取人物、项目、主题、长期目标、议题和事件，并概括资料内容。同一实体只保留一个规范叫法，通用词不算实体。kind 只能是指定六类，salience 为 0 到 1，evidence 必须是资料中的短句，最多返回 10 个实体；没有实体时返回空数组。”
- name
- entity-extraction
Files
Just SKILL.md in agents/knowledge/skills/entity-extraction of NxcoreAI/EverRoom.
Open the folder on GitHubat commit b0d58e5
Compare with similar skills
Entity Extraction 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 |
|---|---|---|---|---|---|---|
| Entity Extraction this skillNxcoreAI/EverRoom | 3k | — | ~158 | Automated safety check: Pass | Custom licence | |
| Extract Clinical Entities To Fhirmaziyarpanahi/openmed | 5.5k | — | ~940 | Automated safety check: Pass | Apache-2.0 | |
| Extracting Clinical Entitiesmaziyarpanahi/openmed | 5.5k | — | ~1.9k | Automated safety check: Pass | Apache-2.0 | |
| Extracting Pii Entitiesmaziyarpanahi/openmed | 5.5k | — | ~1.7k | Automated safety check: Pass | Apache-2.0 | |
| Extractalirezarezvani/claude-skills | 28k | — | ~1.4k | Automated safety check: Pass | MIT | |
| Kg Extractruvnet/ruflo | 74k | — | ~751 | Automated safety check: Notes | MIT |
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maziyarpanahi/openmed
Run clinical and biomedical named-entity recognition on medical text with OpenMed's analyzetext.
Extracting Pii Entities
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Detect PHI/PII spans in clinical text with OpenMed's extractpii without altering the text.
Extract
alirezarezvani/claude-skills
Turn a proven pattern or debugging solution into a standalone reusable skill with SKILL.md, reference docs, and examples.
Kg Extract
ruvnet/ruflo
Extract entities and relations from source files to build a knowledge graph
Brand Extract
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Extract a complete Brand Kit from a live website by driving the in-app browser.
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Brief Refresh
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Regenerate a Context Room brief from the room's current documents and context.
Merge Name
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Suggest names for a Context Room created by merging two rooms.
Canonical Schema
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Complete a rich-text document at the cursor using the EverRoom FIM protocol.
Questions about Entity Extraction
What does Entity Extraction do?
Extract searchable entities and a concise summary from a document for EverRoom knowledge routing. Entity Extraction is an agent skill from NxcoreAI/EverRoom. Extract searchable entities and a concise summary from a document for EverRoom knowledge routing.
How do I install Entity Extraction in Claude Code?
Run `npx skills add NxcoreAI/EverRoom --skill entity-extraction -a claude-code`. Or copy the skill folder (agents/knowledge/skills/entity-extraction in NxcoreAI/EverRoom) into .claude/skills/entity-extraction in your project. Claude Code loads it when a task matches its description.
How do I install Entity Extraction in Codex?
Run `npx skills add NxcoreAI/EverRoom --skill entity-extraction -a codex`. Or copy the skill folder (agents/knowledge/skills/entity-extraction in NxcoreAI/EverRoom) into .agents/skills/entity-extraction in your project. Codex loads it when a task matches its description.
Can I use Entity Extraction in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add NxcoreAI/EverRoom --skill entity-extraction -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/entity-extraction, .gemini/skills/entity-extraction, .github/skills/entity-extraction and .opencode/skills/entity-extraction in your project.
What does Entity Extraction need to run?
SKILL.md names no scripts, command-line tools or credentials: Entity Extraction is instructions for the agent only.
Does Entity Extraction access the network?
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.
Is Entity Extraction safe to install?
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. Review the folder before installing.
What licence does Entity Extraction use?
Entity Extraction has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Entity Extraction use?
About 158 tokens (SKILL.md is roughly 632 characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Entity Extraction?
Skills that share tags, products or a category with Entity Extraction: Extract Clinical Entities To Fhir (maziyarpanahi/openmed, 5.5k stars), Extracting Clinical Entities (maziyarpanahi/openmed, 5.5k stars), Extracting Pii Entities (maziyarpanahi/openmed, 5.5k stars) and Extract (alirezarezvani/claude-skills, 28k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Entity Extraction?
NxcoreAI (a GitHub organization) maintains it in NxcoreAI/EverRoom, which has 2,983 GitHub stars. The repository holds 17 skills in this directory. The repository was last updated on October 8, 2026.
Source: NxcoreAI/EverRoom on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.