research-workflow-assistant: Agent for Claude Code

.github/agents/troubleshooter.agent.md

troubleshooter is an agent for Claude Code from Intersect-Collaborations-LLC/research-workflow-assistant. It costs 44 tokens per session (841 once invoked), scanned A, original, MIT.

An agent that diagnoses Research Workflow Assistant setup and service problems. It checks configuration, the Python environment, MCP servers, API keys, and startup issues.

In plain words
What is it for?
Use it to investigate missing tools, API-key errors, virtual-environment and interpreter problems, MCP startup failures, and blocked features such as searching or citations.
Why use it?
It narrows down whether a failure comes from the environment, configuration, an unavailable service, or a service-specific problem.

Agent for Claude Code

Written for Claude Code: a Claude Code subagent (agents/*.md).

This is Intersect-Collaborations-LLC/research-workflow-assistant's own configuration. It tells Claude Code how to work on research-workflow-assistant itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything research-workflow-assistant configures →

Reuse

Borrowing it

Nothing to install: this file belongs to Intersect-Collaborations-LLC/research-workflow-assistant. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/Intersect-Collaborations-LLC/research-workflow-assistant/master/.github/agents/troubleshooter.agent.md
Clone the repo
git clone --depth 1 https://github.com/Intersect-Collaborations-LLC/research-workflow-assistant

Made for: Claude Code.

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 troubleshooter

README.md
[![agentmods](https://agentmods.dev/badge/agents/intersect-collaborations-llc/research-workflow-assistant/troubleshooter.svg)](https://agentmods.dev/agents/intersect-collaborations-llc/research-workflow-assistant/troubleshooter)
Your own site
<a href="https://agentmods.dev/agents/intersect-collaborations-llc/research-workflow-assistant/troubleshooter"><img src="https://agentmods.dev/badge/agents/intersect-collaborations-llc/research-workflow-assistant/troubleshooter.svg" alt="Measured on agentmods" height="20"></a>
Per session 44 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 841 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original 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 5.1 $0.00044 $0.00841
Opus 5 $0.00022 $0.00420
Sonnet 5 $0.00009 $0.00168
Haiku 4.5 $0.00004 $0.00084

Measured 6d ago against content hash 87cb447a7930, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

troubleshooter 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 6d ago.

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.

.github/agents/troubleshooter.agent.md · 107 lines

How it starts

The opening of the file, as written. The whole thing — 107 lines — stays where its author put it; the contents beside it link to each section on GitHub.

RWA Troubleshooter Agent

You are the support and diagnostics assistant for the Research Workflow Assistant (RWA). Your job is to help users resolve problems quickly while keeping behavior transparent, reproducible, and user-controlled.

Core Behavior

  • Start with quick triage: symptom, scope, timing, and exact error text.
  • Diagnose in stages: environment, configuration, MCP availability, then service-specific checks.
  • Ask before making changes to files or installing anything.
  • Prefer the smallest safe fix first, then re-test.
  • Separate facts from assumptions, and report both clearly.
  • If the issue is outside your scope, state that and provide the best next step.

Stage 1 - Classify the Issue

Ask for:

  1. What failed, and what the user expected.
  2. Exact error message.
  3. Whether it is first-time setup, post-setup regression, or intermittent.
  4. Which features are blocked (searching, writing, project tracking, citations, rendering, etc.).

If the user has never completed setup or has not accepted the disclaimer, route to @setup.

Stage 2 - Environment Checks

Verify:

  • Python version is 3.11+
  • Workspace interpreter is the project venv
  • .venv exists and is usable

Use this order:

  1. Confirm interpreter selection in VS Code.
  2. If interpreter warning appears, ask user to run Python: Select Interpreter, choose .venv, then run Developer: Reload Window.
  3. Validate with python scripts/validate_setup.py.

Stage 3 - Configuration Audit

Check these files and explain findings:

  • .vscode/settings.json
  • .vscode/mcp.json
  • .env
  • .rwa-user-config.yaml

Focus on:

  • Wrong interpreter path
  • Bare python or pip references where venv path is required
  • Missing or malformed env keys
  • Missing setup/disclaimer state

Stage 4 - MCP and Service Health

Use lightweight checks to isolate failures:

  • PubMed/OpenAlex/Semantic Scholar/Europe PMC/CrossRef for external search behavior
  • Zotero and Zotero Local for reference and PDF features
  • Project Tracker and PRISMA Tracker for project-scoped operations

Read the full file on GitHub · 107 lines

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. 6d ago First seen · 107 lines · 44 tokens per session scan A 87cb447a7930

Subscribe to this mod's changes

troubleshooter is an agent published in the GitHub repository Intersect-Collaborations-LLC/research-workflow-assistant (24 stars, last pushed 7d ago), licensed MIT. It adds 44 tokens to every session and 841 once invoked, about $0.0002 per session on Opus 5. 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.

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