Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/xiqin/loomWrote 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/rules/xiqin/loom/cursor-session-init)<a href="https://agentmods.dev/rules/xiqin/loom/cursor-session-init"><img src="https://agentmods.dev/badge/rules/xiqin/loom/cursor-session-init/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/rules/xiqin/loom/cursor-session-init"><img src="https://agentmods.dev/badge/rules/xiqin/loom/cursor-session-init.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 | $0.00304 | $0.00304 |
| Opus 5.5 | $0.00122 | $0.00122 |
| Sonnet 5.5 | $0.00061 | $0.00061 |
| Haiku 4.5 | $0.00030 | $0.00030 |
Grade A, and why
cursor-session-init 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
loom 会话初始化
每次开始工作前,必须先执行以下检查,再响应用户请求:
- 检查
.loom/目录是否存在。若不存在,提示用户运行/loom-init-project,然后停止。 - 读取
.loom/workflow.yaml了解当前项目的流水线配置。 - 渐进式加载上下文文件(避免整文件读取挤爆上下文):
.loom/rules/constitution.md:先用loom_get_context(doc="constitution")取目录,按需取节。.loom/memory/MEMORY.md:先用loom_get_context(doc="memory")取目录。.loom/rules/product.md:若存在,仅读取关键章节。
- 渐进式加载技能文件:用
loom_get_skill_context()获取所有技能的 L0 摘要,仅当需要执行某技能时用loom_get_skill_context(skill="技能名")获取完整内容。禁止一次加载所有 SKILL.md 全文。 - 检查
specs/目录下是否有进行中的开发任务(有 spec.md 但无 verify-report.md 的目录),若有,列出当前阶段。
完成以上检查后,简要输出状态,然后响应用户请求。
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 · 20 lines · 304 tokens per session scan A d5f73164d575
cursor-session-init is a cursor rule published in the GitHub repository xiqin/loom (6 stars, last pushed 14d ago), licensed MIT. It adds 304 tokens to every session, about $0.0012 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.
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