Borrowing it
Nothing to install: this file belongs to minchieh-fay/god. 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/minchieh-fay/god/main/.agent/skills/lesson-learned/SKILL.mdgit clone --depth 1 https://github.com/minchieh-fay/godWrote 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/minchieh-fay/god/lesson-learned)<a href="https://agentmods.dev/skills/minchieh-fay/god/lesson-learned"><img src="https://agentmods.dev/badge/skills/minchieh-fay/god/lesson-learned/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/minchieh-fay/god/lesson-learned"><img src="https://agentmods.dev/badge/skills/minchieh-fay/god/lesson-learned.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 | $0.00035 | $0.00294 |
| Opus 5.5 | $0.00014 | $0.00118 |
| Sonnet 5.5 | $0.00007 | $0.00059 |
| Haiku 4.5 | $0.00003 | $0.00029 |
Grade A, and why
lesson-learned 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
技能：记录教训 (Lesson Learned)
目标
将这次错误提炼为一条结构化记忆，写入对应的 MEMORY.md，让 Antigravity 下次不再重犯。
判断写入哪个文件
- 错误与某个项目的技术实现有关 → 写入
projects/{project_name}/MEMORY.md - 错误与工作流程或沟通方式有关 → 写入根目录
MEMORY.md
记录格式
在对应 MEMORY.md 中追加以下格式的条目：
## [{YYYYMMDD}] {一句话描述错误}
**错误行为**：我做了什么，导致了问题。
**正确做法**：应该怎么做。
**触发场景**：什么情况下容易再犯（用于下次启动时的自我检查）。
执行步骤
- 检查对应 MEMORY.md 是否存在，不存在则创建（写入标题
# Antigravity 记忆文件） - 提炼本次错误，按格式写入新条目
- 向用户确认记录内容，告知写入了哪个文件
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 · 33 lines · 35 tokens per session scan A 13a5c280df96
lesson-learned is a skill published in the GitHub repository minchieh-fay/god (2 stars, last pushed 7mo ago), licensed Apache-2.0. It adds 35 tokens to every session and 294 once invoked, about $0.0001 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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