Agent skill

Mecddi Query

by QSong-github in QSong-github/DrugClaw

Query the MecDDI mechanism-based drug-drug interaction database.

No licenceAuto-check passed

Install Mecddi Query

skills CLI
$ npx skills add QSong-github/DrugClaw --skill mecddi-query -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install QSong-github/DrugClaw mecddi-query --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/QSong-github/DrugClaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/ddi/mecddi .claude/skills/mecddi-query && rm -rf skills-src

Use ~/.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/

Facts

Skill name
mecddi-query
GitHub stars
116
Used in
1 other repo
Token cost
~560 tokens
SKILL.md length
169 words
Files
6
Skills in repo
31
Repo updated
First seen
Licence
None found

At a glance

Query the MecDDI mechanism-based drug-drug interaction database.

  • Works in 5 steps: Single drug name → search(data,… → Single drug ID → search(data, "D0123") → Batch query → search_batch(data,… → …
  • The user asks about drug-drug interactions
  • SKILL.md covers Mechanism Categories (7 files), API, Data and Usage
  • Runs Python scripts from its folder

What it does

Mecddi Query is an agent skill from QSong-github/DrugClaw. Query the MecDDI mechanism-based drug-drug interaction database. Use whenever the user asks about drug-drug interactions, DDI mechanisms (PK/PD), enzyme or transporter-mediated interactions, or wants to look up interacting drug pairs by drug name or MecDDI drug ID. Trigger on keywords like DDI, drug interaction, MecDDI, mechanism-based interaction, pharmacokinetic interaction, pharmacodynamic interaction, or any query involving two drugs that may interact.

Its SKILL.md is about 560 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`).

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 drug-drug interactions
  • DDI mechanisms (PK/PD)
  • Transporter-mediated interactions
  • Wants to look up interacting drug pairs by drug name

Example prompts

  • “/mecddi-query”

Requirements

  • Python 3

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Single drug name → search(data, "Atropine")
  2. Single drug ID → search(data, "D0123")
  3. Batch query → search_batch(data, ["Meclizine", "Isocarboxazid", "D0853"])
  4. JSON output → to_json(hits)
  5. LLM-friendly summary → summarize(hits, entity)

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

    Links to these hosts (documentation or services it may open):

    • mecddi.idrblab.net

    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

Mecddi Query loads about 560 tokens when it runs. Until then it costs about 118 tokens; SKILL.md has 169 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~118
When it runs · the whole SKILL.md, loaded when a task matches
~560

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 169 words (~560 tokens).

“Search MecDDI drug-drug interaction records by drug name or drug ID. Auto-detects input type:”

— opening of SKILL.md by QSong-github
name
mecddi-query

Read the full SKILL.md on GitHub

Files

SKILL.md and 5 other files in skills/ddi/mecddi of QSong-github/DrugClaw.

  • SKILL.md
  • README.md
  • __init__.py
  • example.py
  • mecddi_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

Mecddi 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.

Mecddi Query compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Mecddi Query this skillQSong-github/DrugClaw1161 repos~560Automated safety check: PassNone
Tooluniverse Drug Drug Interactionwu-yc/LabClaw1.1k2 repos~813Automated safety check: PassNone
Drug Interaction Checkeraipoch/medical-research-skills2k—~2.5kAutomated safety check: PassMIT
Drug Interaction Interventionmohitagw15856/pm-claude-skills1.4k—~1.5kAutomated safety check: PassMIT
Drug Target Interactionwentorai/research-plugins2981 repos~2.2kAutomated safety check: PassMIT
Remotion Interactivityremotion-dev/remotion62k5 repos~4.7kAutomated safety check: PassCustom licence

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  • Comprehensive drug-drug interaction (DDI) prediction and risk assessment.

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  • Drug Interaction Checker

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  • Drug Target Interaction

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  • Drkg Query

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  • Drugbank Query

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    Query a locally downloaded DrugBank database. An agent skill from QSong-github/DrugClaw.

    116 GitHub starsUsed in 1 repo~462 tokens
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  • Drugcentral Query

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    Query the DrugCentral drug pharmacology database. An agent skill from QSong-github/DrugClaw.

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  • Drugmechdb Query

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    Query the DrugMechDB drug mechanism-of-action database. An agent skill from QSong-github/DrugClaw.

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  • Fda Orange Book Query

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Questions about Mecddi Query

What does Mecddi Query do?

Query the MecDDI mechanism-based drug-drug interaction database. Mecddi Query is an agent skill from QSong-github/DrugClaw. Query the MecDDI mechanism-based drug-drug interaction database.

When should I use Mecddi Query?

Mecddi Query fits situations like: the user asks about drug-drug interactions; DDI mechanisms (PK/PD); transporter-mediated interactions; wants to look up interacting drug pairs by drug name.

How do I install Mecddi Query in Claude Code?

Run `npx skills add QSong-github/DrugClaw --skill mecddi-query -a claude-code`. Or copy the skill folder (skills/ddi/mecddi in QSong-github/DrugClaw) into .claude/skills/mecddi-query in your project. Claude Code loads it when a task matches its description.

How do I install Mecddi Query in Codex?

Run `npx skills add QSong-github/DrugClaw --skill mecddi-query -a codex`. Or copy the skill folder (skills/ddi/mecddi in QSong-github/DrugClaw) into .agents/skills/mecddi-query in your project. Codex loads it when a task matches its description.

Can I use Mecddi 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 mecddi-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/mecddi-query, .gemini/skills/mecddi-query, .github/skills/mecddi-query and .opencode/skills/mecddi-query in your project.

What does Mecddi Query need to run?

Going by SKILL.md and its folder, Mecddi Query needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Mecddi Query access the network?

SKILL.md names 1 domain. As links in the text: mecddi.idrblab.net. This is read from the text; nothing was executed.

Is Mecddi 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 Mecddi Query use?

No licence was found for Mecddi Query or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Mecddi Query use?

About 560 tokens (SKILL.md is roughly 2.2k 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 Mecddi Query?

Skills that share tags, products or a category with Mecddi Query: Tooluniverse Drug Drug Interaction (wu-yc/LabClaw, 1.1k stars), Drug Interaction Checker (aipoch/medical-research-skills, 2k stars), Drug Interaction Intervention (mohitagw15856/pm-claude-skills, 1.4k stars) and Drug Target Interaction (wentorai/research-plugins, 298 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Mecddi 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.