Borrowing it
Nothing to install: this file belongs to yapota2018/affaan-m-everything-claude-code. 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/yapota2018/affaan-m-everything-claude-code/main/.opencode/commands/instinct-export.mdgit clone --depth 1 https://github.com/yapota2018/affaan-m-everything-claude-codeWrote 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/commands/yapota2018/affaan-m-everything-claude-code/instinct-export)<a href="https://agentmods.dev/commands/yapota2018/affaan-m-everything-claude-code/instinct-export"><img src="https://agentmods.dev/badge/commands/yapota2018/affaan-m-everything-claude-code/instinct-export.svg" alt="Measured on agentmods" 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 | $0.00004 | $0.00415 |
| Opus 5 | $0.00002 | $0.00208 |
| Sonnet 5 | $0.00001 | $0.00083 |
| Haiku 4.5 | $0.00000 | $0.00042 |
Grade A, and why
instinct-export 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 8d 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.
This is a copy
100% identical to instinct-export — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Instinct Export Command
Export instincts for sharing with others: $ARGUMENTS
Your Task
Export instincts from the continuous-learning-v2 system.
Export Options
Export All
/instinct-export
Export High Confidence Only
/instinct-export --min-confidence 0.8
Export by Category
/instinct-export --category coding
Export to Specific Path
/instinct-export --output ./my-instincts.json
Export Format
{
"instincts": [
{
"id": "instinct-123",
"trigger": "[situation description]",
"action": "[recommended action]",
"confidence": 0.85,
"category": "coding",
"applications": 10,
"successes": 9,
"source": "session-observation"
}
],
"metadata": {
"version": "1.0",
"exported": "2025-01-15T10:00:00Z",
"author": "username",
"total": 25,
"filter": "confidence >= 0.8"
}
}
Export Report
Export Summary
==============
Output: ./instincts-export.json
Total instincts: X
Filtered: Y
Exported: Z
Categories:
- coding: N
- testing: N
- security: N
- git: N
Top Instincts (by confidence):
1. [trigger] (0.XX)
2. [trigger] (0.XX)
3. [trigger] (0.XX)
Sharing
After export:
- Share JSON file directly
- Upload to team repository
- Publish to instinct registry
TIP: Export high-confidence instincts (>0.8) for better quality shares.
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.
- 8d ago First seen · 94 lines · 4 tokens per session scan A 49cb34d47c21
instinct-export is a command published in the GitHub repository yapota2018/affaan-m-everything-claude-code (4 stars, last pushed 5mo ago), licensed MIT. It adds 4 tokens to every session and 415 once invoked, about $0.0000 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to instinct-export, differing in 0 lines, and is treated as a copy.
Other commands, from other repositories
minutes-ideas
Surface recent voice memos and ideas captured from any device. Use when the user asks "what ideas did I have?", "what were my recent memos?", "what did I record while walking?", or wants to recall a captured thought.
learn
Force claude-smart to extract learnings from this session now.
memory-store
Store an insight, decision, or pattern to memory.
cc-memory
Configure persistent memory that survives across sessions using a layered approach: split rule files for always-loaded context, auto-memory for organic learning, and optional MCP-backed long-term memory for large codebases.
analyze-context
USE WHEN you want to analyze project context before starting work on a task. Calls context + recall, then synthesizes goals, decisions, gotchas, and relevant memories into a pre-task brief.
lians-recall
Recall current (non-stale) facts from Lians memory, optionally as-of a past date.