Borrowing it
Nothing to install: this file belongs to grahamton/merchGent. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/grahamton/merchGent/main/.opencode/skills/workspace-guide/SKILL.mdgit clone --depth 1 https://github.com/grahamton/merchGentWrote 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.
[](https://agentmods.dev/skills/grahamton/merchgent/workspace-guide)<a href="https://agentmods.dev/skills/grahamton/merchgent/workspace-guide"><img src="https://agentmods.dev/badge/skills/grahamton/merchgent/workspace-guide.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00014 | $0.00374 |
| Opus 5 | $0.00007 | $0.00187 |
| Sonnet 5 | $0.00003 | $0.00075 |
| Haiku 4.5 | $0.00001 | $0.00037 |
Grade A, and why
workspace-guide 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 5d 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.
This is a copy
94% identical to workspace-guide — 8 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Welcome to OpenWork
Hi, I'm Ben and this is OpenWork. It's an open-source alternative to Claude's cowork. It helps you work on your files with AI and automate the mundane tasks so you don't have to.
Before we start, use the question tool to ask: "Are you more technical or non-technical? I'll tailor the explanation."
If the person is non-technical
OpenWork feels like a chat app, but it can safely work with the files you allow. Put files in this workspace and I can summarize them, create new ones, or help organize them.
Try:
- "Summarize the files in this workspace."
- "Create a checklist for my week."
- "Draft a short summary from this document."
Skills and plugins (simple)
Skills add new capabilities. Plugins add advanced features like scheduling or browser automation. We can add them later when you're ready.
If the person is technical
OpenWork is a GUI for OpenCode. Everything that works in OpenCode works here.
Most reliable setup today:
- Install the OpenWork-pinned OpenCode version
- Configure providers there (models and API keys)
- Come back to OpenWork and start a session
Skills:
- Install from the Skills tab, or add them to this workspace.
- Docs: https://opencode.ai/docs/skills
Plugins:
- Configure in opencode.json or use the Plugins tab.
- Docs: https://opencode.ai/docs/plugins/
MCP servers:
- Add external tools via opencode.json.
- Docs: https://opencode.ai/docs/mcp-servers/
Config reference:
End with two friendly next actions to try in OpenWork.
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.
- 5d ago First seen · 47 lines · 14 tokens per session scan A e12eca52d488
workspace-guide is a skill published in the GitHub repository grahamton/merchGent (0 stars, last pushed 4mo ago), licensed MIT. It adds 14 tokens to every session and 374 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 94% identical to workspace-guide, differing in 8 lines, and is treated as a copy.
Other skills, from other repositories
video-research
Teaches Claude how to effectively use the 28 video-research-mcp tools. Activates when working with video analysis, deep research, content extraction, web search, or knowledge store via the video-research MCP server.
ffmpeg-production
FFmpeg video/audio processing — conversion, scaling, compression, trimming, concatenation, AI post-processing. Not for audio ducking/voice mixing (tts-production) or Remotion rendering.
video-production
Orchestrate multi-clip AI video projects — style anchors, chaining patterns, frame-level QA, montage assembly. Not for video analysis, research, provider settings, or FFmpeg encoding.
gemini-visualize
Generates interactive HTML visualizations (concept maps, evidence networks, knowledge graphs) from Gemini analysis results. Triggers automatically after /gr:video, /gr:research, /gr:analyze.
mlflow-traces
Use when working with MLflow traces: debugging via MCP tools, analyzing performance, logging feedback, writing custom scorers/evaluations, or cleaning up trace data.
tts-production
Produces voiceover audio via ElevenLabs TTS API. Activates for TTS generation, voice tuning, audio ducking, or multilingual narration — not for voice AI agents, transcription, or music.