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 agentmods add commands/modelengine-group/fit-framework/create-release-notegit clone --depth 1 https://github.com/ModelEngine-Group/fit-frameworkWhat 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 | $0.00024 | $0.03223 |
| Opus 5 | $0.00012 | $0.01612 |
| Sonnet 5 | $0.00005 | $0.00645 |
| Haiku 4.5 | $0.00002 | $0.00322 |
Grade A, and why
create-release-note scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
1 near-identical copy found in the catalogue:
- fit-create-release-note — 86% identical, 40 lines differ
How it starts
The opening of the file, as written. The whole thing — 322 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Create Release Note Command
功能说明
自动从 PR、commit 和 Issue 中收集变更信息,按模块和类型分类,生成符合项目格式的 Release Notes。支持创建 GitHub Draft Release。
对于 x.y.0 版本,支持合并前一 minor 系列的已发布 release notes,无需重复计算。
用法
/release-notes <version> # 自动推断上一版本
/release-notes <version> <prev-version> # 手动指定版本范围
例如:
/create-release-note 3.6.3 # 自动推断上一版本为 3.6.2
/create-release-note 3.6.3 3.6.2 # 手动指定范围
/create-release-note 3.7.0 # x.y.0 版本:合并 3.6.x 系列的所有 release notes
参数说明
<version>: 当前发布版本号,格式为X.Y.Z(必需)<prev-version>: 上一版本号,格式为X.Y.Z(可选,不提供则自动推断)
参数来源:$ARGUMENTS
执行步骤
步骤 1-3 为公共步骤,步骤 3 根据版本类型分流:
- 合并路径(PATCH == 0,如
3.7.0):步骤 4-7 → 跳到步骤 14 - 常规路径(PATCH > 0,如
3.6.3):步骤 8-13 → 继续步骤 14
步骤 14-15 为公共步骤。
步骤 1:解析参数
从 $ARGUMENTS 中提取参数。支持两种形式:
- 单参数:
<version>— 当前版本号 - 双参数:
<version> <prev-version>— 当前版本号和上一版本号
版本号格式验证:
- 必须匹配
X.Y.Z格式(X、Y、Z 均为非负整数) - 如果格式不正确,报错退出:
错误:版本号格式不正确,期望格式为 X.Y.Z(例如 3.6.3)
步骤 2:确定版本范围
当前版本 tag: v<version>(如 v3.6.3)
上一版本 tag 推断逻辑(仅当未指定 <prev-version> 时):
# 获取所有已排序的 tag
git tag --sort=-v:refname
- 如果 PATCH > 0(如
3.6.3):查找同一 minor 系列中的前一个 tag(如v3.6.2) - 如果 PATCH == 0(如
3.6.0):查找前一个 minor 系列的最后一个 tag(如v3.5.x中最大的)
验证 tag 存在:
git rev-parse v<version>
git rev-parse v<prev-version>
如果任一 tag 不存在,报错退出:错误:Tag v<version> 不存在,请确认 tag 已创建
步骤 3:判断版本类型并选择路径
根据版本号的 PATCH 部分选择不同的生成路径:
- 如果 PATCH == 0(如
3.7.0)→ 走合并路径,从步骤 4 开始 - 如果 PATCH > 0(如
3.6.3)→ 走常规路径,从步骤 8 开始
合并路径(PATCH == 0,x.y.0 版本)
步骤 4:查找前一 minor 系列的所有已发布 release
gh release list --limit 50 --json tagName,isDraft,isPrerelease
从结果中筛选满足以下条件的条目:
tagName以vX.(Y-1).开头(例如版本3.7.0则筛选v3.6.开头)isDraft == falseisPrerelease == false
如果未找到任何已发布的 release,提示用户并回退到常规路径(步骤 8)。
步骤 5:按版本号升序获取各 release body
对步骤 4 筛选出的每个 release tag,按版本号升序获取其内容:
gh release view v<tag> --json body --jq .body
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 · 322 lines · 24 tokens per session scan A e7989aa20b0e
create-release-note is a command published in the GitHub repository ModelEngine-Group/fit-framework (2,117 stars, last pushed 5mo ago), licensed MIT. It adds 24 tokens to every session and 3,223 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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