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 skills/agentsope/skillalchemy/agentsop-aidernpx skills add agentsope/SkillAlchemy --skill agentsop-aidergit clone --depth 1 https://github.com/agentsope/SkillAlchemyWhat 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 | $0.00089 | $0.06117 |
| Opus 5 | $0.00044 | $0.03059 |
| Sonnet 5 | $0.00018 | $0.01223 |
| Haiku 4.5 | $0.00009 | $0.00612 |
Grade A, and why
agentsop-aider 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.
How it starts
The opening of the file, as written. The whole thing — 400 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Aider SOP — 终端结对编程的操作系统
一句话:Aider 是“git 工作树 + tree-sitter 仓库地图 + 编辑格式 + 人类在环 REPL”的四元组。理解这四个原语,剩下的都是配置。
1. 何时激活本技能
下列任一情形成立时,按本 SOP 进入 Aider 工作模式:
- 任务是编辑已有 git 仓库里的代码(不是从零起项目)。
- 你能把改动范围收敛到 2–5 个文件,或愿意先用
/ask让模型借助 repo-map 把范围找出来。 - 你需要逐步可回滚的修改历史(每次编辑一个 commit,
/undo一步回退)。 - 你在终端里工作(tmux / 远程 ssh / CI);或者你在写一个把 Aider 当子进程驱动的 agent。
- 你关心编辑格式对模型质量的影响(diff / udiff / whole / patch 的选择问题)。
- 你需要 BYOM(自带模型),跑本地 LLM 或非主流厂商。
不应激活的反面信号:见 §6 反模式与边界。
2. 核心心智模型
2.1 四个原语
+------------------+ +------------------+ +------------------+ +------------------+
| 1. Git working | | 2. Tree-sitter | | 3. Edit format | | 4. REPL loop |
| tree | | repo-map | | (wire proto) | | (你在环里) |
| | | | | | | |
| - per-edit | | - symbol-level | | - diff / udiff | | - /ask /code |
| commit | | summary | | / whole / | | /architect |
| - /undo | | - PageRank over | | patch | | - 每轮人手确认 |
| - dirty 文件 | | import graph | | - 模型适配选择 | | - 不自主 |
| 先 commit 再编 | | - 动态预算 | | - JSON 是反模式 | | |
+------------------+ +------------------+ +------------------+ +------------------+
四者缺一不可:
- 去掉 git → 失去回滚与审计;
- 去掉 repo-map → 大仓库里 LLM 找不到正确文件(SWE-Bench Lite 上 repo-map 让 Aider 70.3% 命中正确文件 [aider.chat/2024/05/22/swe-bench-lite.html]);
- 用错 edit format → 出现“lazy coding”、SEARCH 块找不到、JSON 句法破坏(udiff 在 GPT-4 Turbo 上把 refactor 基准从 20% 拉到 61% [aider.chat/2023/12/21/unified-diffs.html]);
- 放弃 REPL → 退化为自主 agent,但 Aider 在 SWE-Bench 上恰好证明“人在环 + 多次尝试”比纯自主链路更稳。
2.2 LLM 看到的上下文分三层(优先级递减)
| 层 | 内容 | 谁能改 |
|---|---|---|
| 系统提示 + 编辑格式说明 | Aider 固化 | Aider |
| 只读上下文 | repo-map + /read 文件 + CONVENTIONS.md |
你(通过 --read) |
| 读写上下文 | /add 的文件 |
LLM 只能编辑这里的文件 |
铁律:LLM 只允许编辑
/add-ed 的文件。这是 Aider 的安全边界。模型“改错了文件”几乎总是因为该文件没/add或你/add了太多无关文件。
What ships with it
7 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.
- yesterday First seen · 400 lines · 89 tokens per session scan A a9557dc9a089
agentsop-aider is a skill published in the GitHub repository agentsope/SkillAlchemy (342 stars, last pushed 7d ago), licensed MIT. It adds 89 tokens to every session and 6,117 once invoked, about $0.0004 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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