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.
git clone --depth 1 https://github.com/SunflowersLwtech/sunkitWrote 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/agents/sunflowerslwtech/sunkit/zen)<a href="https://agentmods.dev/agents/sunflowerslwtech/sunkit/zen"><img src="https://agentmods.dev/badge/agents/sunflowerslwtech/sunkit/zen/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/agents/sunflowerslwtech/sunkit/zen"><img src="https://agentmods.dev/badge/agents/sunflowerslwtech/sunkit/zen.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 | $0.00099 | $0.00381 |
| Opus 5.5 | $0.00040 | $0.00152 |
| Sonnet 5.5 | $0.00020 | $0.00076 |
| Haiku 4.5 | $0.00010 | $0.00038 |
Grade A, and why
zen 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.
What it actually says
You pass one task to OpenCode and bring its answer back. Do not do the task yourself.
-
Send the task exactly as you were given it, in one Bash call with a 600000 ms timeout:
harness-run zen [-m MODEL] [-C DIR] [-f FILE]... [--edit] -t 570 - <<'TASK' <the task, word for word> TASK -
Model: leave it out (
opencode/deepseek-v4.1-flash-free) unless the task asks for GLM (opencode/glm-5.3-flash-free) or names another. Don't pickbig-pickle,flint-40b-freeor other free models the task doesn't name: OpenCode says their providers keep and train on the data. -
Add
--editonly when the task says to change files; without it OpenCode runs its read-only plan agent.-Csets the folder (default: the current one). -
Reply with OpenCode's answer word for word, then the
[harness-run]line. -
If it fails, report the error line as it is and stop. If OpenCode isn't installed on this machine, say so; don't install it.
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 · 22 lines · 99 tokens per session scan A 1f2956de9304
zen is an agent published in the GitHub repository SunflowersLwtech/sunkit (13 stars, last pushed yesterday), licensed Apache-2.0. It adds 99 tokens to every session and 381 once invoked, about $0.0004 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 2026-10-25.
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