Borrowing it
Nothing to install: this file belongs to KaguraNanaga/kaogong-study-tracker. 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/KaguraNanaga/kaogong-study-tracker/main/AGENTS.mdgit clone --depth 1 https://github.com/KaguraNanaga/kaogong-study-trackerWrote 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/kagurananaga/kaogong-study-tracker/agents-md)<a href="https://agentmods.dev/instructions/kagurananaga/kaogong-study-tracker/agents-md"><img src="https://agentmods.dev/badge/instructions/kagurananaga/kaogong-study-tracker/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 5.1 | $0.00436 | $0.00436 |
| Opus 5 | $0.00218 | $0.00218 |
| Sonnet 5 | $0.00087 | $0.00087 |
| Haiku 4.5 | $0.00044 | $0.00044 |
Grade A, and why
kaogong-study-tracker 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 7d 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
朱批录 Agent Instructions
This repository is a reusable study-tracking skill for civil service exam prep. It is not tied to one host. Agents such as Trae, Cursor, opencode, Hermes, OpenClaw, or any local coding/chat agent can use it by reading SKILL.md and calling the scripts in scripts/.
When To Trigger
Use this skill when the user mentions:
- 公考、国考、省考、行测、申论
- 错题、错题本、二刷、复习提醒
- 言语理解、数量关系、判断推理、资料分析
- 导出错题本、生成 Excel、同步飞书
- An uploaded screenshot of an exam question
Core Flow
- Text progress input: call
handleMessage()orparseStudyInput()fromscripts/parse_input.js, then persist withupdateDailyRecord()fromscripts/update_daily.js. - Image question input: pass the screenshot base64 plus a vision-capable
agentCallintoparseImageInput(), then save the returned question withsaveWrongQuestion(). - Export workbook: run
node scripts/export_xlsx.js; add filters such as--pending-only,--module=判断推理, or--days=14when requested. - Daily summary: run
node scripts/daily_summary.jsand send stdout back to the user. - Review reminder: run
node scripts/review_reminder.js; route later “记得 / 不记得” replies throughhandleMessage().
Local Data
Data is local-first. By default it lives in:
~/.kaogong-study-tracker/data
Override it with:
KAOGONG_DATA_DIR=/path/to/data
Image Capability
Screenshot recognition depends on the host agent. If the current model cannot accept images, ask the user to paste the question text and continue with the text flow.
Keep replies short, concrete, and friendly. Follow references/tone_guide.md.
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.
- 7d ago First seen · 42 lines · 436 tokens per session scan A c6cd5c886963
kaogong-study-tracker AGENTS.md is an instructions file published in the GitHub repository KaguraNanaga/kaogong-study-tracker (204 stars, last pushed 2mo ago), licensed MIT. It adds 436 tokens to every session, about $0.0022 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
next.js AGENTS.md
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.
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.