Agent skill

Claude To Medrixflow

Interact with MedrixFlow AI agent platform via its HTTP API.

Install Claude To Medrixflow

skills CLI

$ npx skills add Citrus-bit/Anaxa --skill claude-to-medrixflow -a claude-code

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

GitHub CLI

$ gh skill install Citrus-bit/Anaxa claude-to-medrixflow --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/Citrus-bit/Anaxa.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/public/claude-to-medrixflow .claude/skills/claude-to-medrixflow && 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/

Paste into Claude Code

Install the "claude-to-medrixflow" agent skill from https://github.com/Citrus-bit/Anaxa/tree/main/skills/public/claude-to-medrixflow into .claude/skills/claude-to-medrixflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "claude-to-medrixflow", 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

$skill-installer install https://github.com/Citrus-bit/Anaxa/tree/main/skills/public/claude-to-medrixflow

Type 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.

skills CLI

$ npx skills add Citrus-bit/Anaxa --skill claude-to-medrixflow -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install Citrus-bit/Anaxa claude-to-medrixflow --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/Citrus-bit/Anaxa.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/public/claude-to-medrixflow .agents/skills/claude-to-medrixflow && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "claude-to-medrixflow" agent skill from https://github.com/Citrus-bit/Anaxa/tree/main/skills/public/claude-to-medrixflow into .agents/skills/claude-to-medrixflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "claude-to-medrixflow", 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.

skills CLI

$ npx skills add Citrus-bit/Anaxa --skill claude-to-medrixflow -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install Citrus-bit/Anaxa claude-to-medrixflow --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/Citrus-bit/Anaxa.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/public/claude-to-medrixflow .cursor/skills/claude-to-medrixflow && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "claude-to-medrixflow" agent skill from https://github.com/Citrus-bit/Anaxa/tree/main/skills/public/claude-to-medrixflow into .cursor/skills/claude-to-medrixflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "claude-to-medrixflow", 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

$ gemini skills install https://github.com/Citrus-bit/Anaxa.git --path skills/public/claude-to-medrixflow

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add Citrus-bit/Anaxa --skill claude-to-medrixflow -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install Citrus-bit/Anaxa claude-to-medrixflow --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/Citrus-bit/Anaxa.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/public/claude-to-medrixflow .gemini/skills/claude-to-medrixflow && rm -rf skills-src

Use ~/.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/

Paste into Gemini CLI

Install the "claude-to-medrixflow" agent skill from https://github.com/Citrus-bit/Anaxa/tree/main/skills/public/claude-to-medrixflow into .gemini/skills/claude-to-medrixflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "claude-to-medrixflow", 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.

GitHub CLI

$ gh skill install Citrus-bit/Anaxa claude-to-medrixflow

Installs 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).

skills CLI

$ npx skills add Citrus-bit/Anaxa --skill claude-to-medrixflow -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/Citrus-bit/Anaxa.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/public/claude-to-medrixflow .github/skills/claude-to-medrixflow && rm -rf skills-src

Use ~/.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/

Paste into GitHub Copilot

Install the "claude-to-medrixflow" agent skill from https://github.com/Citrus-bit/Anaxa/tree/main/skills/public/claude-to-medrixflow into .github/skills/claude-to-medrixflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "claude-to-medrixflow", 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.

skills CLI

$ npx skills add Citrus-bit/Anaxa --skill claude-to-medrixflow -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install Citrus-bit/Anaxa claude-to-medrixflow --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/Citrus-bit/Anaxa.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/public/claude-to-medrixflow .opencode/skills/claude-to-medrixflow && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "claude-to-medrixflow" agent skill from https://github.com/Citrus-bit/Anaxa/tree/main/skills/public/claude-to-medrixflow into .opencode/skills/claude-to-medrixflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "claude-to-medrixflow", 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: claude-to-medrixflow
GitHub stars: 120
Token cost: ~1.7k tokens
SKILL.md length: 505 words
Files: 3 (incl. scripts)
Skills in repo: 15
Repo updated: Sep 7, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Interact with MedrixFlow AI agent platform via its HTTP API.

Works in 12 steps: Health Check → Send a Message (Streaming) → Continue a Conversation → …
The user wants to send messages
SKILL.md covers Architecture, Environment Variables, Available Operations and Usage Script, plus 3 more sections
Runs Shell scripts from its folder; calls curl and bash

What it does

Claude To Medrixflow is an agent skill from Citrus-bit/Anaxa. Interact with MedrixFlow AI agent platform via its HTTP API. Use this skill when the user wants to send messages or questions to MedrixFlow for research/analysis, start a MedrixFlow conversation thread, check MedrixFlow status or health, list available models/skills/agents in MedrixFlow, manage MedrixFlow memory, upload files to MedrixFlow threads, or delegate complex research tasks to MedrixFlow. Also use when the user mentions medrixflow or wants to run a deep research task that MedrixFlow can handle.

Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including scripts (for example `scripts/chat.sh` and `scripts/status.sh`).

It sits in Research & Science, covering REST APIs, Deep research and Building AI agents. It works with LangGraph and NGINX. The repository describes itself as: Anaxa 是一个面向科研工作流的开源智能体系统。它不是单纯的聊天机器人，也不是无人监管的自动发论文机器，而是把文献检索、证据审计、实验执行、论文写作、同行评审式检查和最终产物打包放进同一个可追踪的研究生命周期中。 The licence is MIT.

When your agent uses it

The user wants to send messages
Questions to MedrixFlow for research/analysis
Start a MedrixFlow conversation thread
Check MedrixFlow status

Example prompts

“/claude-to-medrixflow”

Requirements

A Bash shell

Workflow steps

12 steps, taken from the step headings in SKILL.md.

Health Check
Send a Message (Streaming)
Continue a Conversation
List Models
List Skills
Enable/Disable a Skill
List Agents
Get Memory
Upload Files to a Thread
List Uploaded Files
Get Thread History
List Threads

What it can do on your machine

Read from SKILL.md and the folder at commit d57c708. 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 2 files in scripts/ (Shell), which the agent can run.
Shell commands in SKILL.md call:
- curl
- bash
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use curl, which can reach the network depending on how they are called.
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

Claude To Medrixflow loads about 1.7k tokens when it runs. Until then it costs about 133 tokens; SKILL.md has 505 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~133
When it runs · the whole SKILL.md, loaded when a task matches: ~1.7k

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); the scripts in this folder are not scanned.

SKILL.md

The full file from Citrus-bit/Anaxa at commit d57c708, republished under its MIT licence (© Citrus-bit). 505 words, ~1,735 tokens.

Download SKILL.mdSave it as .claude/skills/claude-to-medrixflow/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.

name: claude-to-medrixflow
description: Interact with MedrixFlow AI agent platform via its HTTP API. Use this skill when the user wants to send messages or questions to MedrixFlow for research/analysis, start a MedrixFlow conversation thread, check MedrixFlow status or health, list available models/skills/agents in MedrixFlow, manage MedrixFlow memory, upload files to MedrixFlow threads, or delegate complex research tasks to MedrixFlow. Also use when the user mentions medrix_flow or wants to run a deep research task that MedrixFlow can handle.

MedrixFlow Skill

Communicate with a running MedrixFlow instance via its HTTP API. MedrixFlow is an AI agent platform built on LangGraph that orchestrates sub-agents for research, code execution, web browsing, and more.

Architecture

MedrixFlow exposes two API surfaces behind an Nginx reverse proxy:

Service	Direct Port	Via Proxy	Purpose
Gateway API	8001	`$MEDRIXFLOW_GATEWAY_URL`	REST endpoints (models, skills, memory, uploads)
LangGraph API	2024	`$MEDRIXFLOW_LANGGRAPH_URL`	Agent threads, runs, streaming

Environment Variables

All URLs are configurable via environment variables. Read these env vars before making any request.

Variable	Default	Description
`MEDRIXFLOW_URL`	`http://localhost:2026`	Unified proxy base URL
`MEDRIXFLOW_GATEWAY_URL`	`${MEDRIXFLOW_URL}`	Gateway API base (models, skills, memory, uploads)
`MEDRIXFLOW_LANGGRAPH_URL`	`${MEDRIXFLOW_URL}/api/langgraph`	LangGraph API base (threads, runs)

When making curl calls, always resolve the URL like this:

bash

# Resolve base URLs from env (do this FIRST before any API call)
MEDRIXFLOW_URL="${MEDRIXFLOW_URL:-http://localhost:2026}"
MEDRIXFLOW_GATEWAY_URL="${MEDRIXFLOW_GATEWAY_URL:-$MEDRIXFLOW_URL}"
MEDRIXFLOW_LANGGRAPH_URL="${MEDRIXFLOW_LANGGRAPH_URL:-$MEDRIXFLOW_URL/api/langgraph}"

Available Operations

1. Health Check

Verify MedrixFlow is running:

bash

curl -s "$MEDRIXFLOW_GATEWAY_URL/health"

2. Send a Message (Streaming)

This is the primary operation. It creates a thread and streams the agent's response.

Step 1: Create a thread

bash

curl -s -X POST "$MEDRIXFLOW_LANGGRAPH_URL/threads" \
  -H "Content-Type: application/json" \
  -d '{}'

Response: {"thread_id": "<uuid>", ...}

Step 2: Stream a run

bash

curl -s -N -X POST "$MEDRIXFLOW_LANGGRAPH_URL/threads/<thread_id>/runs/stream" \
  -H "Content-Type: application/json" \
  -d '{
    "assistant_id": "lead_agent",
    "input": {
      "messages": [
        {
          "type": "human",
          "content": [{"type": "text", "text": "YOUR MESSAGE HERE"}]
        }
      ]
    },
    "stream_mode": ["values", "messages-tuple"],
    "stream_subgraphs": true,
    "config": {
      "recursion_limit": 1000
    },
    "context": {
      "thinking_enabled": true,
      "is_plan_mode": true,
      "subagent_enabled": true,
      "thread_id": "<thread_id>"
    }
  }'

The response is an SSE stream. Each event has the format:

event: <event_type>
data: <json_data>

Key event types:

metadata — run metadata including run_id
values — full state snapshot with messages array
messages-tuple — incremental message updates (AI text chunks, tool calls, tool results)
end — stream is complete

Context modes (set via context):

Flash mode: thinking_enabled: false, is_plan_mode: false, subagent_enabled: false
Standard mode: thinking_enabled: true, is_plan_mode: false, subagent_enabled: false
Pro mode: thinking_enabled: true, is_plan_mode: true, subagent_enabled: false
Ultra mode: thinking_enabled: true, is_plan_mode: true, subagent_enabled: true

3. Continue a Conversation

To send follow-up messages, reuse the same thread_id from step 2 and POST another run with the new message.

4. List Models

bash

curl -s "$MEDRIXFLOW_GATEWAY_URL/api/models"

Returns: {"models": [{"name": "...", "provider": "...", ...}, ...]}

5. List Skills

bash

curl -s "$MEDRIXFLOW_GATEWAY_URL/api/skills"

Returns: {"skills": [{"name": "...", "enabled": true, ...}, ...]}

6. Enable/Disable a Skill

bash

curl -s -X PUT "$MEDRIXFLOW_GATEWAY_URL/api/skills/<skill_name>" \
  -H "Content-Type: application/json" \
  -d '{"enabled": true}'

7. List Agents

bash

curl -s "$MEDRIXFLOW_GATEWAY_URL/api/agents"

Returns: {"agents": [{"name": "...", ...}, ...]}

8. Get Memory

bash

curl -s "$MEDRIXFLOW_GATEWAY_URL/api/memory"

Returns user context, facts, and conversation history summaries.

Show full SKILL.md (208 more words)Show less

9. Upload Files to a Thread

bash

curl -s -X POST "$MEDRIXFLOW_GATEWAY_URL/api/threads/<thread_id>/uploads" \
  -F "files=@/path/to/file.pdf"

Supports PDF, PPTX, XLSX, DOCX — automatically converts to Markdown.

10. List Uploaded Files

bash

curl -s "$MEDRIXFLOW_GATEWAY_URL/api/threads/<thread_id>/uploads/list"

11. Get Thread History

bash

curl -s "$MEDRIXFLOW_LANGGRAPH_URL/threads/<thread_id>/history"

12. List Threads

bash

curl -s -X POST "$MEDRIXFLOW_LANGGRAPH_URL/threads/search" \
  -H "Content-Type: application/json" \
  -d '{"limit": 20, "sort_by": "updated_at", "sort_order": "desc"}'

Usage Script

For sending messages and collecting the full response, use the helper script:

bash

bash /path/to/skills/claude-to-medrix_flow/scripts/chat.sh "Your question here"

See scripts/chat.sh for the implementation. The script:

Checks health
Creates a thread
Streams the run and collects the final AI response
Prints the result

Parsing SSE Output

The stream returns SSE events. To extract the final AI response from a values event:

Look for the last event: values block
Parse its data JSON
The messages array contains all messages; the last one with type: "ai" is the response
The content field of that message is the AI's text reply

Error Handling

If health check fails, MedrixFlow is not running. Inform the user they need to start it.
If the stream returns an error event, extract and display the error message.
Common issues: port not open, services still starting up, config errors.

Tips

For quick questions, use flash mode (fastest, no planning).
For research tasks, use pro or ultra mode (enables planning and sub-agents).
You can upload files first, then reference them in your message.
Thread IDs persist — you can return to a conversation later.

Files

SKILL.md and 2 other files (scripts) in skills/public/claude-to-medrixflow of Citrus-bit/Anaxa.

SKILL.md
scripts/chat.sh
scripts/status.sh

Open the folder on GitHubat commit d57c708

Compare with similar skills

Claude To Medrixflow 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.

Claude To Medrixflow compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Claude To Medrixflow this skillCitrus-bit/Anaxa	120	—	~1.7k	Automated safety check: Pass	MIT	1 mo ago
Workflow AI Codingw8123/EnterpriseAgentFramework	865	—	~3.7k	Automated safety check: Pass	MIT	3 days ago
Agent AI Codingw8123/EnterpriseAgentFramework	865	—	~1.4k	Automated safety check: Pass	MIT	3 days ago
Langchain Langgraph Streamingjeremylongshore/tons-of-skills-marketplace	2.8k	—	~4k	Automated safety check: Pass	MIT	yesterday
Research Agentmastra-ai/mastra	29k	—	~2.1k	Automated safety check: Pass	Custom licence	today
Reachai Onboardingw8123/EnterpriseAgentFramework	865	—	~6.1k	Automated safety check: Pass	MIT	3 days ago

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Works with

Questions about Claude To Medrixflow

What does Claude To Medrixflow do?

Interact with MedrixFlow AI agent platform via its HTTP API. Claude To Medrixflow is an agent skill from Citrus-bit/Anaxa. Interact with MedrixFlow AI agent platform via its HTTP API.

When should I use Claude To Medrixflow?

Claude To Medrixflow fits situations like: the user wants to send messages; questions to MedrixFlow for research/analysis; start a MedrixFlow conversation thread; check MedrixFlow status.

How do I install Claude To Medrixflow in Claude Code?

Run `npx skills add Citrus-bit/Anaxa --skill claude-to-medrixflow -a claude-code`. Or copy the skill folder (skills/public/claude-to-medrixflow in Citrus-bit/Anaxa) into .claude/skills/claude-to-medrixflow in your project. Claude Code loads it when a task matches its description.

How do I install Claude To Medrixflow in Codex?

Run `npx skills add Citrus-bit/Anaxa --skill claude-to-medrixflow -a codex`. Or copy the skill folder (skills/public/claude-to-medrixflow in Citrus-bit/Anaxa) into .agents/skills/claude-to-medrixflow in your project. Codex loads it when a task matches its description.

Can I use Claude To Medrixflow 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 Citrus-bit/Anaxa --skill claude-to-medrixflow -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/claude-to-medrixflow, .gemini/skills/claude-to-medrixflow, .github/skills/claude-to-medrixflow and .opencode/skills/claude-to-medrixflow in your project.

What does Claude To Medrixflow need to run?

Going by SKILL.md and its folder, Claude To Medrixflow needs a shell for the scripts in its folder and the command-line tools its instructions call (curl and bash). Our summary lists: A Bash shell.

Does Claude To Medrixflow access the network?

SKILL.md contains no URLs. Its commands use curl, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Claude To Medrixflow 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Claude To Medrixflow use?

Claude To Medrixflow is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Claude To Medrixflow use?

About 1.7k tokens (SKILL.md is roughly 6.9k 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 Claude To Medrixflow?

Skills that share tags, products or a category with Claude To Medrixflow: Workflow AI Coding (w8123/EnterpriseAgentFramework, 865 stars), Agent AI Coding (w8123/EnterpriseAgentFramework, 865 stars), Langchain Langgraph Streaming (jeremylongshore/tons-of-skills-marketplace, 2.8k stars) and Research Agent (mastra-ai/mastra, 29k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Claude To Medrixflow?

Citrus-bit (a GitHub user) maintains it in Citrus-bit/Anaxa, which has 120 GitHub stars. The repository holds 15 skills in this directory. The repository was last updated on September 7, 2026.

Source: Citrus-bit/Anaxa on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Claude To Medrixflow

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

MedrixFlow Skill

Architecture

Environment Variables

Available Operations

1. Health Check

2. Send a Message (Streaming)

3. Continue a Conversation

4. List Models

5. List Skills

6. Enable/Disable a Skill

7. List Agents

8. Get Memory

9. Upload Files to a Thread

10. List Uploaded Files

11. Get Thread History

12. List Threads

Usage Script

Parsing SSE Output

Error Handling

Tips

Files

Compare with similar skills

Similar skills

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