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/nimachu/xhs-imagen/agents-mdgit clone --depth 1 https://github.com/NimaChu/xhs-imagenWrote 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/nimachu/xhs-imagen/agents-md)<a href="https://agentmods.dev/instructions/nimachu/xhs-imagen/agents-md"><img src="https://agentmods.dev/badge/instructions/nimachu/xhs-imagen/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 | $0.00283 | $0.00283 |
| Opus 5 | $0.00142 | $0.00142 |
| Sonnet 5 | $0.00057 | $0.00057 |
| Haiku 4.5 | $0.00028 | $0.00028 |
Grade A, and why
xhs-imagen 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 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
Repository guidance
This repository contains the xhs-imagen Agent Skill and dependency-free helper scripts.
Required checks
Run before completing a change:
python3 -m unittest discover -s tests -v
python3 scripts/validate_project.py references/project.template.json
python3 scripts/make_prompt_pack.py references/project.template.json --output-dir /tmp/xhs-prompts
python3 scripts/render_xiaohongshu_project.py references/project.template.json --output-dir /tmp/xhs-render --prompts-only
When images were rendered, also run:
python3 scripts/check_png_ratios.py /tmp/xhs-render/images
Editing rules
- Keep Xiaohongshu creation and publishing needs as the primary product scope.
- Keep
SKILL.mdconcise and route detail intoreferences/. - Preserve the default 3:4 cover and 9:16 inner-page conventions.
- Prefer an available image-generation tool; use the local renderer only when it is unavailable.
- Use SVG text patching only after explicit user feedback about a text defect.
- Keep the legacy
free_image_gen.pyCLI compatible unless a breaking change is intentional. - Do not commit source portraits, credentials, generated watermarks,
__pycache__, or unlicensed fonts. - Use only Python standard library unless a dependency is clearly justified.
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 · 32 lines · 283 tokens per session scan A 98b949a6373c
xhs-imagen AGENTS.md is an instructions file published in the GitHub repository NimaChu/xhs-imagen (120 stars, last pushed 1mo ago), licensed MIT. It adds 283 tokens to every session, about $0.0014 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.
Other instructions, from other repositories
librefang AGENTS.md
AGENTS.md instructions for librefang/librefang, covering stack, layout, build, architecture and kernelhandle trait.
autonomous-os AGENTS.md
AGENTS.md instructions for autonomous-ai/autonomous-os, covering agents.md, multi-ide rules, working style, parallel work / subagents and device access rules.
OneManCompany CLAUDE.md
Instructions for 1mancompany/OneManCompany, covering gstack and skill routing.
souls-directory CLAUDE.md
Instructions for thedaviddias/souls-directory, covering claude.md — project context for ai assistants, project overview, tech stack, critical rules and database is convex.
jentic-one GEMINI.md
Gemini CLI instructions for jentic/jentic-one: Otherwise, read AGENTS.md — this repo's canonical agent guidance.
clawock AGENTS.md
AGENTS.md instructions for KCNyu/clawock, covering agents.md - your workspace, every session, kcn 偏好, git hook (one-time setup per clone) and git auto-commit rules.