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/eight-acres-lab/openmelon/copilot-instructionsgit clone --depth 1 https://github.com/eight-acres-lab/openmelonWrote 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/eight-acres-lab/openmelon/copilot-instructions)<a href="https://agentmods.dev/instructions/eight-acres-lab/openmelon/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/eight-acres-lab/openmelon/copilot-instructions.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 | $0.00539 | $0.00539 |
| Opus 5 | $0.00269 | $0.00269 |
| Sonnet 5 | $0.00108 | $0.00108 |
| Haiku 4.5 | $0.00054 | $0.00054 |
Grade A, and why
openmelon copilot-instructions.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
openmelon Development Guidelines
Auto-generated from all feature plans. Last updated: 2026-05-05
Active Technologies
-
Go 1.22 + 标准库（encoding/json, os/exec, crypto/sha256, flag, context）— 零外部依赖 (001-phase2-runtime-skeleton)
-
本地文件系统（.txt artifacts + .jsonl provenance 追加日志） (001-phase2-runtime-skeleton)
-
(001-phase2-runtime-skeleton)
Project Structure
src/
tests/
Commands
Add commands for
Code Style
: Follow standard conventions
Recent Changes
- 002-openrouter-llm-pipeline: Added [if applicable, e.g., PostgreSQL, CoreData, files or N/A]
- 002-openrouter-llm-pipeline: Added [if applicable, e.g., PostgreSQL, CoreData, files or N/A]
- 001-phase2-runtime-skeleton: Added Go 1.22 + 标准库（encoding/json, os/exec, crypto/sha256, flag, context）— 零外部依赖
002-openrouter-llm-pipeline: LLM Provider 接入
新增模块:
internal/generation/llm_provider.go— 实现generation.Provider，内部使用internal/llm.Client（OpenRouter / OpenAI / Anthropic）internal/generation/provider.go—Request新增Intent string字段（System/User 分割）
CLI 新增 flags: --llm <provider>, --llm-model <model_id>（与 --generate-cmd 互斥）
API Key: 环境变量 OPENROUTER_API_KEY / OPENAI_API_KEY / ANTHROPIC_API_KEY，不经 CLI
TTY 检测: os.Stdout.Stat() + ModeCharDevice，stdlib only
Provenance: Record.Model 改为记录 trace 中的实际 model ID（如 google/gemini-2.0-flash-001）
新 Skills (skillplus 仓库):
travel-street-realism— kindvisual_prompt_concretization, localezh-CNpost-caption-xiaohongshu— kindcopy_draft, stagecopywriting, localezh-CN
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 · 51 lines · 539 tokens per session scan A 007c8092cb9b
openmelon copilot-instructions.md is an instructions file published in the GitHub repository eight-acres-lab/openmelon (86 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 539 tokens to every session, about $0.0027 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.
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