Borrowing it
Nothing to install: this file belongs to heihei999/huasheng-mcp. 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/heihei999/huasheng-mcp/main/AGENTS.mdgit clone --depth 1 https://github.com/heihei999/huasheng-mcpWrote 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/heihei999/huasheng-mcp/agents-md)<a href="https://agentmods.dev/instructions/heihei999/huasheng-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/heihei999/huasheng-mcp/agents-md/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/instructions/heihei999/huasheng-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/heihei999/huasheng-mcp/agents-md.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 | $0.00337 | $0.00337 |
| Opus 5 | $0.00169 | $0.00169 |
| Sonnet 5 | $0.00067 | $0.00067 |
| Haiku 4.5 | $0.00034 | $0.00034 |
Grade A, and why
huasheng-mcp 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 10d 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
Xingce Solver Project Instructions
本项目目标是基于已经整理好的花生十三行测知识库，实现一个跨平台行测解题工具 xingce-solver。
核心要求
- 不要重新解析 PDF。
- 不要重新生成知识卡片。
- 不要修改 all_cards.jsonl 的内容。
- 不要把全部知识库一次性塞进提示词。
- 先实现工程基础能力，再实现 MCP 和具体解题器。
- 第一阶段只做读取、检索、分类和 CLI，不做复杂解题器。
当前知识库
最终知识库压缩包位于：
input/xingce_huasheng_final_kb_v1_3.zip
请先解压到：
knowledge_base/
解压后应包含：
- all_cards.jsonl
- global_router_rules.yaml
- method_manifest.json
- module_map.yaml
- synonyms.yaml
- schema_spec.md
- codex_handoff_spec.md
- validation_report.md
第一阶段目标
请实现：
- 读取 knowledge_base/all_cards.jsonl。
- 按 method_id 查询卡片。
- 关键词检索方法卡片。
- 基于 global_router_rules.yaml 做题型初步分类。
- 查询 method_id 的来源信息。
- 实现 CLI 命令：
xingce-solver search --query "比重 增长率"
xingce-solver card --id da_share_change_004
xingce-solver classify --question question.txt
xingce-solver source --method-id da_share_change_004
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.
- 10d ago First seen · 50 lines · 337 tokens per session scan A d7342b56c180
huasheng-mcp AGENTS.md is an instructions file published in the GitHub repository heihei999/huasheng-mcp (23 stars, last pushed 5d ago), licensed MIT. It adds 337 tokens to every session, about $0.0017 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
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AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.