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/get-started/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/get-started)<a href="https://agentmods.dev/skills/grahamton/merchgent/get-started"><img src="https://agentmods.dev/badge/skills/grahamton/merchgent/get-started/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/grahamton/merchgent/get-started"><img src="https://agentmods.dev/badge/skills/grahamton/merchgent/get-started.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00017 | $0.00170 |
| Opus 5.5 | $0.00007 | $0.00068 |
| Sonnet 5.5 | $0.00003 | $0.00034 |
| Haiku 4.5 | $0.00002 | $0.00017 |
Grade A, and why
get-started 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 1mo 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.
What it actually says
When to use
- Always load this skill when the user says "get started".
What to do
- Reply with these four lines, exactly and in order:
- hey there welcome this is openwork
- we've pre-configured you with a couple tools
- Get Started
- write "hey go on google.com"
Then
- If the user writes "go on google.com" (or "hey go on google.com"), use the chrome-devtools MCP to open the site.
- After the navigation completes, reply: "I'm on " where is the final URL or page title they asked for.
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.
- 1mo ago First seen · 19 lines · 17 tokens per session scan A fb7105f941cd
get-started is a skill published in the GitHub repository grahamton/merchGent (0 stars, last pushed 6mo ago), licensed MIT. It adds 17 tokens to every session and 170 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-08-31.
Other skills, from other repositories
reverse-search-video-frame
Reverse-search a captured video point and verify candidate identity against source appearance, readable text and page context before reporting a match.
browser-forms
Fill a whole web form, post a comment or reply, or read a long thread in Safari or Chrome with the fewest Mac MCP browser calls.
video-research
Use video-research MCP tools for evidence-aware video/document analysis, cited research, academic discovery, and knowledge queries when that server is connected.
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-to-skill
Author an ordinary host skill from retained video or demonstration observations, then validate its source provenance, timestamped evidence, assets, rights declarations and retained task-run bindings before producing a local deterministic .skill archive. Use when deriving reusable instructions from a recording; task…
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.