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/luohaothu/everything-codex/instinct-importgit clone --depth 1 https://github.com/Luohaothu/everything-codexWhat 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 | $0.00018 | $0.01004 |
| Opus 5 | $0.00009 | $0.00502 |
| Sonnet 5 | $0.00004 | $0.00201 |
| Haiku 4.5 | $0.00002 | $0.00100 |
Grade A, and why
instinct-import scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 151 lines — stays where its author put it; the contents beside it link to each section on GitHub.
本能导入命令
实现
使用插件根路径运行本能 CLI：
python3 "${CLAUDE_PLUGIN_ROOT}/skills/continuous-learning-v2/scripts/instinct-cli.py" import <file-or-url> [--dry-run] [--force] [--min-confidence 0.7]
或者，如果 CLAUDE_PLUGIN_ROOT 未设置（手动安装）：
python3 ~/.claude/skills/continuous-learning-v2/scripts/instinct-cli.py import <file-or-url>
从以下来源导入本能：
- 队友的导出
- 技能创建器（仓库分析）
- 社区集合
- 之前的机器备份
用法
/instinct-import team-instincts.yaml
/instinct-import https://github.com/org/repo/instincts.yaml
/instinct-import --from-skill-creator acme/webapp
执行步骤
- 获取本能文件（本地路径或 URL）
- 解析并验证格式
- 检查与现有本能的重复项
- 合并或添加新本能
- 保存到
~/.claude/homunculus/instincts/inherited/
导入过程
📥 Importing instincts from: team-instincts.yaml
================================================
Found 12 instincts to import.
Analyzing conflicts...
## New Instincts (8)
These will be added:
✓ use-zod-validation (confidence: 0.7)
✓ prefer-named-exports (confidence: 0.65)
✓ test-async-functions (confidence: 0.8)
...
## Duplicate Instincts (3)
Already have similar instincts:
⚠️ prefer-functional-style
Local: 0.8 confidence, 12 observations
Import: 0.7 confidence
→ Keep local (higher confidence)
⚠️ test-first-workflow
Local: 0.75 confidence
Import: 0.9 confidence
→ Update to import (higher confidence)
## Conflicting Instincts (1)
These contradict local instincts:
❌ use-classes-for-services
Conflicts with: avoid-classes
→ Skip (requires manual resolution)
---
Import 8 new, update 1, skip 3?
合并策略
针对重复项
当导入一个与现有本能匹配的本能时：
- 置信度高的胜出：保留置信度更高的那个
- 合并证据：合并观察计数
- 更新时间戳：标记为最近已验证
针对冲突
当导入一个与现有本能相矛盾的本能时：
- 默认跳过：不导入冲突的本能
- 标记待审：将两者都标记为需要注意
- 手动解决：由用户决定保留哪个
来源追踪
导入的本能被标记为：
source: "inherited"
imported_from: "team-instincts.yaml"
imported_at: "2025-01-22T10:30:00Z"
original_source: "session-observation" # or "repo-analysis"
技能创建器集成
从技能创建器导入时：
/instinct-import --from-skill-creator acme/webapp
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.
- 2d ago First seen · 151 lines · 18 tokens per session scan A 2a21a7f0b912
instinct-import is a command published in the GitHub repository Luohaothu/everything-codex (24 stars, last pushed 21d ago), licensed MIT. It adds 18 tokens to every session and 1,004 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.
Other commands, from other repositories
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send
Send a message to a running agent session. Use this to correct or direct a live agent mid-stream without killing and respawning it.
execute
Delegate execution to GJC (runs /skill:ultragoal to completion with verification).
vibe-agents
Step 4 of the vibe-coding workflow: generate AGENTS.md + tool configs so the AI builder stays on track.
agentlas-cloud
Staff a task only from the signed-in owner's Agent Cloud agents.
advisor
Advisory gate for triage or plan decisions. Spawns a second-opinion agent that challenges assumptions, surfaces risks, and proposes alternatives before the decision commits. Based on Anthropic advisor tool pattern.