Borrowing it
Nothing to install: this file belongs to jiangkoumo/toolfence. 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/jiangkoumo/toolfence/main/AGENTS.mdgit clone --depth 1 https://github.com/jiangkoumo/toolfenceWrote 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/jiangkoumo/toolfence/agents-md)<a href="https://agentmods.dev/instructions/jiangkoumo/toolfence/agents-md"><img src="https://agentmods.dev/badge/instructions/jiangkoumo/toolfence/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 | $0.00417 | $0.00417 |
| Opus 5 | $0.00209 | $0.00209 |
| Sonnet 5 | $0.00083 | $0.00083 |
| Haiku 4.5 | $0.00042 | $0.00042 |
Grade A, and why
toolfence 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 yesterday.
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
ToolFence 项目约束
安全代理项目,改动必须小而明确,且要有拒绝路径(denial-path)测试。
提交前必跑
npm run verify # typecheck + 覆盖阈值测试 + build + demo + 打包冒烟 + pack dry-run
npm audit --omit=dev # 生产依赖审计
发布前再加 npm run release:check。
安全与信任边界
- 测试要覆盖受影响路径中的:成功、拒绝、畸形输入、取消、超时、断开。
- 改 proxy/CLI 时,stdout 只保留 MCP JSON-RPC,不打印调试信息。
- 不记录原始工具参数、命令参数、审批 token、原始上游结果(审计只记 hash / operation / resources)。
- fail-closed 是核心不变式:deny / timeout / 取消 一律「未转发」,不留可事后授权的幽灵审批。
- 漏洞走 SECURITY.md 私报,不开公开 issue。
发布与版本
- 只通过 GitHub Actions
publish.yml可信发布,不加 npm 长令牌。 - 保留
contentPolicy: "dual-use"和根目录DISCLOSURE(npm 声明为永久)。 - 发布失败不要复用或移动 tag:修好后升版本号再发。
跨仓库联合开发(AgentTape)
docs/AGENTTAPE_TOOLFENCE_ALIGNMENT.md必须与 AgentTape 仓库(~/Documents/ChatGPT/#)的同名文件字节一致,改动要两边镜像。- 每轮只改一个「主开发项目」,另一个固定在已记录的 commit/version 作为伴随观察器。
- 改行为或发布保证时,同步更新 README、TESTING、CHANGELOG。
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.
- yesterday First seen · 33 lines · 417 tokens per session scan A e2fb71be7d6d
toolfence AGENTS.md is an instructions file published in the GitHub repository jiangkoumo/toolfence (100 stars, last pushed 2d ago), licensed MIT. It adds 417 tokens to every session, about $0.0021 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 2026-09-06.
Other instructions, from other repositories
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