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.
npx skills add xiqin/loom --skill loom-index-updategit 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/skills/xiqin/loom/loom-index-update)<a href="https://agentmods.dev/skills/xiqin/loom/loom-index-update"><img src="https://agentmods.dev/badge/skills/xiqin/loom/loom-index-update/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/skills/xiqin/loom/loom-index-update"><img src="https://agentmods.dev/badge/skills/xiqin/loom/loom-index-update.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 | $0.00041 | $0.01256 |
| Opus 5 | $0.00020 | $0.00628 |
| Sonnet 5 | $0.00008 | $0.00251 |
| Haiku 4.5 | $0.00004 | $0.00126 |
Grade A, and why
loom-index-update 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 10d 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.
How it starts
The opening of the file, as written. The whole thing — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.
图后端与记忆同步 Skill
触发条件
- 功能测试和 completion verification 通过后自动触发。
- 用户手动要求同步图后端、更新记忆或更新文档。
前置条件
- 代码变更已完成。
loom-verification-before-completion已通过，或用户明确要求只同步图后端/记忆。
执行流程
Step 1：检测变更范围
- 运行
git diff --name-only HEAD确认变更文件。 - 按
references/update-checklist.md判断是否需要同步图后端或结构化记忆。
Step 2：同步图后端
先读取 .loom/graph.config.json 确认当前图后端；配置不存在时默认 codegraph（向后兼容）。
loom index # 同步当前图后端；后端不可用时跳过
loom index --check # 检查图后端状态；后端不可用时跳过
图后端可用时，AI 通过 loom 暴露的固定 MCP 工具按需查询（不直接调用后端专属工具名）：
loom_graph_status— 查询后端能力、新鲜度和可用性loom_graph_query— 统一图查询入口（capability：explore / definition / references / impact 等）loom_graph_sync— 同步或检查索引
当后端是 codegraph 时，
loom_graph_*内部委派给codegraph_explore等 MCP 工具；AI 不需要也不应该直接引用codegraph_*工具名。
图后端不可用（后端为 none、marker 不存在或 freshness=unavailable）时，在报告中注明“图后端不可用，图索引同步跳过”，不中断流水线。
降级规则：
- 后端不支持
impact时，用references、explore或源码搜索降级，并报告“影响范围可能不完整”。 - 后端
freshness不是fresh时，不得直接把其结论作为阻断判断依据，需用当前源码和 git diff 校验关键结论。 - 后端类型是
knowledge-base时，不得用于精确调用链或 breaking change 影响范围判断。
Step 3：更新结构化 Memory
Memory 的单一真实来源是 .loom/memory/store.json。MEMORY.md 是 loom memory export 生成的只读视图，禁止手动编辑 MEMORY.md。
判断写入目标：
| 内容类型 | 写入方式 |
|---|---|
| 本次会话的关键结论（决策/踩坑/偏好/状态变更） | loom_add_memory 或 loom memory add --type <类型> --content "..." |
| 技术选型、架构决定，需要保留背景和原因 | type=adr，context 写背景和原因 |
| 实际遇到的坑，含根因和解决方式 | type=踩坑，content 写“问题 + 根因 + 解决方式” |
| 用户明确表达的工作习惯、风格偏好、禁止事项 | type=偏好 |
| 技术栈或当前阶段变化 | type=状态 |
| 本次会话有重要内容需要归档 | loom memory archive --slug <slug> --file <session.md> |
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 10d ago First seen · 109 lines · 41 tokens per session scan A fb987b2f52b4
loom-index-update is a skill published in the GitHub repository xiqin/loom (5 stars, last pushed 1mo ago), licensed MIT. It adds 41 tokens to every session and 1,256 once invoked, about $0.0002 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 2026-08-31.
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