Hugging Face Tokenizers
Orchestra-Research/AI-Research-SKILLs
Shows how to load, train and use fast Hugging Face tokenizers, with BPE, WordPiece and Unigram models, padding, truncation and alignment tracking.
Query the PHEE pharmacovigilance event extraction dataset. An agent skill from QSong-github/DrugClaw.
Install Phee Query
$ npx skills add QSong-github/DrugClaw --skill phee-query -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install QSong-github/DrugClaw phee-query --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/QSong-github/DrugClaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/drug_nlp/phee .claude/skills/phee-query && 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 "phee-query" agent skill from https://github.com/QSong-github/DrugClaw/tree/main/skills/drug_nlp/phee into .claude/skills/phee-query/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "phee-query", 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/QSong-github/DrugClaw/tree/main/skills/drug_nlp/pheeType 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 QSong-github/DrugClaw --skill phee-query -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install QSong-github/DrugClaw phee-query --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/QSong-github/DrugClaw.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/drug_nlp/phee .agents/skills/phee-query && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "phee-query" agent skill from https://github.com/QSong-github/DrugClaw/tree/main/skills/drug_nlp/phee into .agents/skills/phee-query/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "phee-query", 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 QSong-github/DrugClaw --skill phee-query -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install QSong-github/DrugClaw phee-query --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/QSong-github/DrugClaw.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/drug_nlp/phee .cursor/skills/phee-query && 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 "phee-query" agent skill from https://github.com/QSong-github/DrugClaw/tree/main/skills/drug_nlp/phee into .cursor/skills/phee-query/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "phee-query", 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/QSong-github/DrugClaw.git --path skills/drug_nlp/phee--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 QSong-github/DrugClaw --skill phee-query -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install QSong-github/DrugClaw phee-query --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/QSong-github/DrugClaw.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/drug_nlp/phee .gemini/skills/phee-query && 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 "phee-query" agent skill from https://github.com/QSong-github/DrugClaw/tree/main/skills/drug_nlp/phee into .gemini/skills/phee-query/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "phee-query", 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 QSong-github/DrugClaw phee-queryInstalls 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 QSong-github/DrugClaw --skill phee-query -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/QSong-github/DrugClaw.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/drug_nlp/phee .github/skills/phee-query && 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 "phee-query" agent skill from https://github.com/QSong-github/DrugClaw/tree/main/skills/drug_nlp/phee into .github/skills/phee-query/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "phee-query", 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 QSong-github/DrugClaw --skill phee-query -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install QSong-github/DrugClaw phee-query --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/QSong-github/DrugClaw.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/drug_nlp/phee .opencode/skills/phee-query && 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 "phee-query" agent skill from https://github.com/QSong-github/DrugClaw/tree/main/skills/drug_nlp/phee into .opencode/skills/phee-query/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "phee-query", 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
phee-query- GitHub stars
- 116
- Used in
- 1 other repo
- Token cost
- ~694 tokens
- SKILL.md length
- 178 words
- Files
- 6
- Skills in repo
- 31
- Repo updated
- First seen
- Licence
- None found
At a glance
Query the PHEE pharmacovigilance event extraction dataset. An agent skill from QSong-github/DrugClaw.
- The user asks about annotated adverse drug events
- SKILL.md covers API, Record Schema, Usage and Data
- Runs Python scripts from its folder
- Pharmacovigilance case reports
What it does
Phee Query is an agent skill from QSong-github/DrugClaw. Query the PHEE pharmacovigilance event extraction dataset. Use whenever the user asks about annotated adverse drug events, pharmacovigilance case reports, drug–effect associations from medical literature, or wants to find PHEE examples mentioning a drug name, adverse effect, or condition.
Its SKILL.md is about 690 tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files (for example `README.md`, `__init__.py` and `example.py`).
It sits in AI & LLM Engineering, covering Natural language processing. The repository describes itself as: 🦀 Agentic RAG for drug intelligence · 57 skills · 15 task categories · DTI · ADR · DDI · PGx · Repurposing · Powered by LangGraph.
When your agent uses it
- The user asks about annotated adverse drug events
- Pharmacovigilance case reports
- Drug–effect associations from medical literature
- Wants to find PHEE examples mentioning a drug name
Example prompts
- “/phee-query”
Requirements
- Python 3
What it can do on your machine
Read from SKILL.md and the folder at commit bc7b93e. 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
Ships script files (Python), which the agent can run.
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
Phee Query loads about 694 tokens when it runs. Until then it costs about 75 tokens; SKILL.md has 178 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
Without a licence we can't republish the file, so here is its outline and opening line. It has 178 words (~694 tokens).
“Search PHEE annotated pharmacovigilance events by drug name, adverse effect, or free text. Substring matching is case-insensitive across all event fields.”
- name
- phee-query
Files
SKILL.md and 5 other files in skills/drug_nlp/phee of QSong-github/DrugClaw.
- SKILL.md
- README.md
- __init__.py
- example.py
- phee_skill.py
- retrieve.py
Open the folder on GitHubat commit bc7b93e
Used in 1 other repository
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in QSong-github/DrugClaw, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Phee Query 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 |
|---|---|---|---|---|---|---|
| Phee Query this skillQSong-github/DrugClaw | 116 | 1 repos | ~694 | Automated safety check: Pass | None | |
| Hugging Face TokenizersOrchestra-Research/AI-Research-SKILLs | 13k | 7 repos | ~3.4k | Automated safety check: Pass | MIT | |
| OpenMed Model Card Writermaziyarpanahi/openmed | 5.5k | — | ~1.8k | Automated safety check: Pass | Apache-2.0 | |
| Gptqmodel Tokenizer NormalizationModelCloud/GPTQModel | 1.3k | — | ~1.1k | Automated safety check: Pass | Custom licence | |
| Andrej KarpathyK-Dense-AI/mimeo | 282 | — | ~1.9k | Automated safety check: Pass | MIT | |
| Comparetaishi-i/awesome-japanese-nlp-resources | 1k | — | ~4.1k | Automated safety check: Notes | CC0-1.0 |
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Categories
Questions about Phee Query
What does Phee Query do?
Query the PHEE pharmacovigilance event extraction dataset. An agent skill from QSong-github/DrugClaw. Phee Query is an agent skill from QSong-github/DrugClaw. Query the PHEE pharmacovigilance event extraction dataset.
When should I use Phee Query?
Phee Query fits situations like: the user asks about annotated adverse drug events; pharmacovigilance case reports; drug–effect associations from medical literature; wants to find PHEE examples mentioning a drug name.
How do I install Phee Query in Claude Code?
Run `npx skills add QSong-github/DrugClaw --skill phee-query -a claude-code`. Or copy the skill folder (skills/drug_nlp/phee in QSong-github/DrugClaw) into .claude/skills/phee-query in your project. Claude Code loads it when a task matches its description.
How do I install Phee Query in Codex?
Run `npx skills add QSong-github/DrugClaw --skill phee-query -a codex`. Or copy the skill folder (skills/drug_nlp/phee in QSong-github/DrugClaw) into .agents/skills/phee-query in your project. Codex loads it when a task matches its description.
Can I use Phee Query 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 QSong-github/DrugClaw --skill phee-query -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/phee-query, .gemini/skills/phee-query, .github/skills/phee-query and .opencode/skills/phee-query in your project.
What does Phee Query need to run?
Going by SKILL.md and its folder, Phee Query needs Python for the scripts in its folder. Our summary lists: Python 3.
Does Phee Query 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 Phee Query 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 Phee Query use?
No licence was found for Phee Query or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Phee Query use?
About 694 tokens (SKILL.md is roughly 2.8k 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 Phee Query?
Skills that share tags, products or a category with Phee Query: Hugging Face Tokenizers (Orchestra-Research/AI-Research-SKILLs, 13k stars), OpenMed Model Card Writer (maziyarpanahi/openmed, 5.5k stars), Gptqmodel Tokenizer Normalization (ModelCloud/GPTQModel, 1.3k stars) and Andrej Karpathy (K-Dense-AI/mimeo, 282 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Phee Query?
QSong-github (a GitHub user) maintains it in QSong-github/DrugClaw, which has 116 GitHub stars. The repository holds 31 skills in this directory. The repository was last updated on August 25, 2026.
Source: QSong-github/DrugClaw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.