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 | $0.00017 | $0.00147 |
| Sonnet 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 9d 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.
- 9d 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 5mo ago), licensed Apache-2.0. It adds 35 tokens to every session and 294 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.
Other skills, from other repositories
media-ingest
Ingest video, audio, PDF, book, screenshot, and GitHub repo content into the brain. Multi-format handling with entity extraction and backlink propagation. Covers video-ingest, youtube-ingest, and book-ingest subtypes.
mem0-oss-to-platform
Plan and then execute a migration of a project from the mem0 open-source / self-hosted SDK (the local Memory class) to the mem0 Platform / hosted / managed SDK (the MemoryClient class). Use this whenever a developer wants to move, switch, or migrate their mem0 usage off OSS/self-hosted to the hosted API — e.g.…
Cortex
Operate Cortex, the LifeOS memory system — the typed Knowledge Archive (People, Companies, Ideas, Research with typed related: links) plus recall of prior work sessions, ISAs, and conversations. Search, add, harvest, develop, ingest, distill, graph-navigate, recall. USE WHEN cortex, knowledge, knowledge base, search…
memory
Use when the user asks to remember, recall, forget, update, search, or inspect durable OpenSquilla memory, including profile facts in USER.md and long-term notes in MEMORY.md or memory//.md.
ha-data-stores
Map of Hope Agent's local data stores and safe read-only query workflow. Use when the user asks where Hope Agent stores data, wants to inspect sessions/messages/memory/logs/background jobs/knowledge indexes/settings, asks the model to query local app data, or debugging requires checking persisted state. Trigger…
establishing-project-context
Use when the user asks to establish shared project language, or project work exposes a conflicting, renamed, or deprecated domain term that needs active semantic modeling. Routine small tasks stay on the fast path.