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.
npx agentmods add instructions/qybaihe/inkview/agents-mdgit clone --depth 1 https://github.com/qybaihe/inkviewWrote 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/instructions/qybaihe/inkview/agents-md)<a href="https://agentmods.dev/instructions/qybaihe/inkview/agents-md"><img src="https://agentmods.dev/badge/instructions/qybaihe/inkview/agents-md.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 | $0.00237 | $0.00237 |
| Opus 5 | $0.00118 | $0.00118 |
| Sonnet 5 | $0.00047 | $0.00047 |
| Haiku 4.5 | $0.00024 | $0.00024 |
Grade A, and why
inkview AGENTS.md 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 4d 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
InkView Agent Guide
This repository is an agent-ready package for transforming websites into refined modern Chinese ink-wash experiences.
When asked to use InkView:
- Read
README.mdfor repository structure. - Read
docs/design-system.mdfor the visual language. - Read
docs/icon-library.mdbefore selecting icons. - Use
scripts/select_icons.pyto find icon candidates. - Use
scripts/copy_icons.pyto copy selected icons into the target website's own asset directory. - Preserve the target website's functionality, content hierarchy, and accessibility.
Avoid heavy red-gold antique styling, fantasy/xianxia visuals, low contrast, fake old-paper grime, and decoration that harms scanning or interaction.
Primary transformation prompt:
Preserve the website's information architecture, content priority, conversion goals, and core interactions. Redesign the visual system into a refined modern Chinese ink-wash style: rice-paper surfaces, dry-brush ink lines, restrained cinnabar/jade/indigo/ochre accents, calm spacing, readable typography, and semantically matched local icons from the bundled InkView icon library.
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.
- 4d ago First seen · 22 lines · 237 tokens per session scan A a09ec5b3130f
inkview AGENTS.md is an instructions file published in the GitHub repository qybaihe/inkview (6 stars, last pushed 4mo ago), licensed MIT. It adds 237 tokens to every session, about $0.0012 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 2026-08-31.
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