Borrowing it
Nothing to install: this file belongs to iceymoss/go-hichat-api. 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/iceymoss/go-hichat-api/main/.claude/skills/new-model/SKILL.mdgit clone --depth 1 https://github.com/iceymoss/go-hichat-apiWrote 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/iceymoss/go-hichat-api/new-model)<a href="https://agentmods.dev/skills/iceymoss/go-hichat-api/new-model"><img src="https://agentmods.dev/badge/skills/iceymoss/go-hichat-api/new-model.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00024 | $0.00544 |
| Opus 5 | $0.00012 | $0.00272 |
| Sonnet 5 | $0.00005 | $0.00109 |
| Haiku 4.5 | $0.00002 | $0.00054 |
Grade A, and why
new-model 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 8d 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
新增数据库表 / 字段。结构变更前必须先与用户对齐 schema。
步骤
1. 与用户对齐 schema（必须）
按 database-model.md，问清楚：
- 表名、字段、类型、索引、是否软删除
- JSON 字段统一用
TEXT（不要用 JSONB） - 主键交给 GORM 处理（不写 AUTO_INCREMENT / SERIAL）
- 三库兼容：MySQL / PostgreSQL / SQLite 都跑得过
2. 写 DDL
- MySQL：
deploy/sql/<svc>.sql（追加新表/ALTER TABLE） - 注意：SQLite 不支持
ALTER COLUMN，只能ADD COLUMN - 保留字列名用
commonGroupCol/commonKeyCol（见model/main.go约定） - 布尔值用
commonTrueVal/commonFalseVal
3. 生成 GORM model
goctl model mysql ddl -src=./deploy/sql/<svc>.sql -dir=./apps/<svc>/models/ -c
如果是 MongoDB：
goctl model mongo --type <Type> --dir ./apps/<svc>/models/
4. 迁移 / 初始化
如果项目用代码自动迁移，确认 AutoMigrate 列表里加上新模型。
否则在 deploy/sql/ 提供 idempotent 的 SQL 脚本。
5. 数据库分支
需要数据库特定 SQL 时用：
common.UsingPostgreSQL { ... }
common.UsingSQLite { ... }
common.UsingMySQL { ... }
不要把 MySQL 方言的语法直接写死。
6. 测试
- 单元测试不 mock 数据库（
test-files.md） - 测试结束清理数据
- 三种数据库环境都跑通
严格约束
- 绝对不修改
.env - 绝对不直接 drop / truncate 现有表
- 新增字段如果是 NOT NULL，必须给默认值（兼容旧行）
- 涉及生产数据的迁移必须在 PR 描述里说明回滚方案
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.
- 8d ago First seen · 58 lines · 24 tokens per session scan A c7e3c70768fb
new-model is a skill published in the GitHub repository iceymoss/go-hichat-api (41 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 24 tokens to every session and 544 once invoked, about $0.0001 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 2026-08-30.
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