Borrowing it
Nothing to install: this file belongs to yellowbee686/everything-analysis-agent. 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/yellowbee686/everything-analysis-agent/main/AGENTS.mdgit clone --depth 1 https://github.com/yellowbee686/everything-analysis-agentWrote 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/yellowbee686/everything-analysis-agent/agents-md)<a href="https://agentmods.dev/instructions/yellowbee686/everything-analysis-agent/agents-md"><img src="https://agentmods.dev/badge/instructions/yellowbee686/everything-analysis-agent/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/yellowbee686/everything-analysis-agent/agents-md"><img src="https://agentmods.dev/badge/instructions/yellowbee686/everything-analysis-agent/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 | $0.00443 | $0.00443 |
| Opus 5.5 | $0.00177 | $0.00177 |
| Sonnet 5.5 | $0.00089 | $0.00089 |
| Haiku 4.5 | $0.00044 | $0.00044 |
Grade A, and why
everything-analysis-agent 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 2mo 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
AGENTS.md
System Rules
- Read this file and the relevant skill or submodule
AGENTS.mdbefore making changes. - Communicate with users in Chinese.
- Write code, comments, docstrings, and command-facing text in English unless a domain term requires Chinese.
- Python code must include type annotations.
- Prefer readable, pythonic code.
- Follow fail-fast behavior. When compatibility handling is needed, log with
logger.errorand return a clear error result instead of raising from user-facing helpers. - Prefer built-in collection types such as
listanddictoverListandDict.
Repository Purpose
This repository stores analysis-agent assets such as skills, plugins, and MCP integrations.
Docs
- Research and design notes live under
docs/. - When the target reader is Chinese,
docs/research notes may be written in Chinese. - Include the investigation date and source references for comparative or external research notes.
- QMD setup and usage notes live in
docs/qmd_usage.md.
Skills
- Skills live under
skills/<skill-name>/. - Each skill must include
SKILL.mdwithnameanddescriptionfrontmatter. - Keep
SKILL.mdconcise. Put detailed workflows, tool maps, and setup notes inreferences/. - Put deterministic helper commands in
scripts/. - Validate changed skills with:
python3 /Users/bytedance/.codex/skills/.system/skill-creator/scripts/quick_validate.py skills/<skill-name>
If the default python3 does not have PyYAML, use any project virtual environment that provides yaml.
CBETA MCP Submodule
mcp_servers/CbetaMCPis a git submodule pinned to a known commit.- Do not commit virtual environments, caches, logs, or generated Python bytecode from the submodule.
- The default local MCP endpoint is
http://localhost:18765/mcp/. - Start the CBETA MCP server only when a live CBETA query requires it. Check the endpoint first, then start it on demand.
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.
- 2mo ago First seen · 44 lines · 443 tokens per session scan A ca4369015436
everything-analysis-agent AGENTS.md is an instructions file published in the GitHub repository yellowbee686/everything-analysis-agent (2 stars, last pushed 6mo ago), licensed Apache-2.0. It adds 443 tokens to every session, about $0.0018 per session on Opus 5.5. 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.
everything-analysis-agent AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| everything-analysis-agent AGENTS.mdyellowbee686/everything-analysis-agent | Instructions file | 2 | 6mo ago | Apache-2.0 | A | 443 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 9,719 | GitHub Copilot |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 5,516 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | today | MIT | A | 4,680 | Codex, OpenCode |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 3,093 | GitHub Copilot |
| vscode model-prompts.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 2,022 | GitHub Copilot |