sider

sider is a skill for Claude Code, Codex from QSong-github/DrugClaw. It costs 0 tokens per session (613 once invoked), scanned A, original, no licence file.

A drug side-effect database from the European Molecular Biology Laboratory. It links medicines with reported adverse drug reactions.

In plain words
What is it for?
Use it to search for a medicine and review its linked side effects or adverse reactions.
Why use it?
It provides a focused source for checking unwanted effects associated with a medicine.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/qsong-github/drugclaw/sider
Any agent
npx skills add QSong-github/DrugClaw --skill sider
Clone the repo
git clone --depth 1 https://github.com/QSong-github/DrugClaw

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for sider

README.md
[![agentmods](https://agentmods.dev/badge/skills/qsong-github/drugclaw/sider.svg)](https://agentmods.dev/skills/qsong-github/drugclaw/sider)
Your own site
<a href="https://agentmods.dev/skills/qsong-github/drugclaw/sider"><img src="https://agentmods.dev/badge/skills/qsong-github/drugclaw/sider.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 613 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00000 $0.00613
Opus 5 $0.00000 $0.00307
Sonnet 5 $0.00000 $0.00123
Haiku 4.5 $0.00000 $0.00061

Measured 4d ago against content hash 5777300980e7, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

sider scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.

The scan reads SKILL.md. This mod also ships 4 executable files (__init__.py, example.py, retrieve.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/adr/sider/SKILL.md · 65 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Files

What ships with it

5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 4d ago First seen · 65 lines · 0 tokens per session scan A 5777300980e7

Subscribe to this mod's changes

sider is a skill published in the GitHub repository QSong-github/DrugClaw (116 stars, last pushed 9d ago), with no licence file. It costs nothing until one of its globs matches a file; then it loads 613 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other skills, from other repositories

chem-spectrum-matcher

Match an experimental spectrum (1H NMR, 13C NMR, IR) against predicted or database reference spectra for candidate ranking and structure confirmation. Supports local catalog lookup, public database fallback, and pluggable similarity metrics.

learningmatter-mit/AtomisticSkills · 52 tokens

start-experiment

Start the autoresearch optimization loop for a specific model + lane. Resolves the hierarchical program.md (root → model → lane), asks the user for hardware (local TPU VM or GKE cluster of a specified TPU type + topology), discovers available clusters from .env/, checks occupancy with USERPREFIX-aware attribution…

vlasenkoalexey/tpu_performance_autoresearch_wiki · 103 tokens

stop-experiment

Stop the autoresearch optimization loop cleanly. Disarms the launch-armed process watcher, cancels pending wakeups, reaps orphan workloads on the project's cluster pool, files any missing experiment pages, runs lint, and appends a clean-shutdown marker to wiki/log.md. Invoke at the end of an autoresearch session.

vlasenkoalexey/tpu_performance_autoresearch_wiki · 70 tokens

create-experiment

Bootstrap a new model family for the autoresearch loop. Creates the folder structure under wiki/experiments/, scaffolds the model-level program.md from a template (asking the user about lanes, sizes, hardware targets, sequence length, and architecture invariants), optionally creates lane-level program.md stubs, and…

vlasenkoalexey/tpu_performance_autoresearch_wiki · 90 tokens

edit-model-code

Coding-discipline guidelines for surgically modifying model code inside a per-experiment fork in the autoresearch loop. Adapts Andrej Karpathy's LLM-coding guidelines (think before coding, simplicity first, surgical changes, goal-driven execution) to this project's invariants — no semantics drift, one mechanism per…

vlasenkoalexey/tpu_performance_autoresearch_wiki · 146 tokens

fetch-data

取数 / 查数据 / 拉数据 / 跑 SQL。把自然语言取数需求转为 SQL,经数据湖仓执行后返回查询结果供下游分析。任何需要业务数据的任务在工作区缺少对应文件时都必须先调用此技能——覆盖 BI 业务分析、留存 / 转化 / 同期群分析、数据探索 EDA、统计建模、定量计算、元数据查询、数据查询。命中任一即触发:(1) 直接索要指标或记录,如「DAU 多少」「上月销售额」「3 月留存率」「这个客户的订单」;(2) 取数口语,如「查 / 查一下 / 取一下 / 拉一下 / 抓数据 / 找数据 / 搜数据 / 跑 SQL / 写 SQL / 导出 / 缺数据 / 没数据 / 数据不够」;(3) 涉及数据来源,如「从语义层 / 数据湖仓…

agentscope-ai/QwenPaw-Data · 276 tokens