Borrowing it
Nothing to install: this file belongs to Jackxiaozhiren/datasentry. 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/Jackxiaozhiren/datasentry/main/AGENTS.mdgit clone --depth 1 https://github.com/Jackxiaozhiren/datasentryWrote 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/jackxiaozhiren/datasentry/agents-md)<a href="https://agentmods.dev/instructions/jackxiaozhiren/datasentry/agents-md"><img src="https://agentmods.dev/badge/instructions/jackxiaozhiren/datasentry/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/jackxiaozhiren/datasentry/agents-md"><img src="https://agentmods.dev/badge/instructions/jackxiaozhiren/datasentry/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 | $0.00562 | $0.00562 |
| Opus 5.5 | $0.00225 | $0.00225 |
| Sonnet 5.5 | $0.00112 | $0.00112 |
| Haiku 4.5 | $0.00056 | $0.00056 |
Grade A, and why
datasentry 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 14d 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 — DataSentry Agent 工作契约
新会话 Agent 必读。本文件指向权威源而非复述，避免双写漂移。
1. 六条不变量（红线）
以 CONTRIBUTING.md「Project invariants」六条为准：
- 确定性检测不依赖 LLM 可用性；
- AI 建议只是提案，不做静默自主变更；
- 修复永不覆盖源文件（只写副本 + rollback 工件）；
- 修复链路保持 previewable + auditable + reversible；
- 日志与持久化报告不含 secret/DSN；
- 性能声明可复现（方法论文档化，见
docs/BENCHMARKS.md）。
2. 质量门禁（改完必跑）
uv sync
make check # ruff check + format --check + mypy --strict + pytest(覆盖率≥85%)
make demo # 公共 demo 路径
make bench # 性能基准（1M 行，见 benchmarks/bench_scan.py 预算表）
pyproject.toml 约束：line-length=100, target py312, mypy strict=true。
3. 模块地图
packages/core/src/datasentry_core/：detectors / engine / scoring / repair / drift / storage / connectors(csv|parquet|jsonl|xlsx|sqlite|duckdb|postgres|mysql|remote_file) / reporting / privacy / rules / models —— 确定性核心，不引 LLM。src/datasentry/：cli / api / tui / ui / mcp_server / client / scheduler —— 四端（CLI/Web/REST/MCP）复用同一client实现，不引入第二套领域逻辑。tests/：pytest + hypothesis；benchmarks/bench_scan.py为性能预算表。
4. Agent 红线
- 不许跳过测试、降低覆盖率下限、新增
type: ignore/noqa； - 一次只修一类，保持最小 diff；修 public API 须给迁移说明；
- 不许为覆盖率写无效断言，不许静默改行为；
- 安全相关改动先读
AUDIT/FINDINGS.yaml对应条目（证据链在该文件）； - 不代操作 GitHub（评论/关 issue 关 PR 需人类执行）。
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.
- 14d ago First seen · 43 lines · 562 tokens per session scan A 06536068f975
datasentry AGENTS.md is an instructions file published in the GitHub repository Jackxiaozhiren/datasentry (2 stars, last pushed 15d ago), licensed Apache-2.0. It adds 562 tokens to every session, about $0.0022 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 2026-10-03.
Other instructions, from other repositories
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).
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.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
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.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).