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.
git clone --depth 1 https://github.com/joneqian/claude-skills-suiteWrote 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/joneqian/claude-skills-suite/instinct-status)<a href="https://agentmods.dev/commands/joneqian/claude-skills-suite/instinct-status"><img src="https://agentmods.dev/badge/commands/joneqian/claude-skills-suite/instinct-status/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/commands/joneqian/claude-skills-suite/instinct-status"><img src="https://agentmods.dev/badge/commands/joneqian/claude-skills-suite/instinct-status.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 | $0.00012 | $0.00516 |
| Opus 5 | $0.00006 | $0.00258 |
| Sonnet 5 | $0.00002 | $0.00103 |
| Haiku 4.5 | $0.00001 | $0.00052 |
Grade A, and why
instinct-status 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 10d 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-status — 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 Status Command
Shows all learned instincts with their confidence scores, grouped by domain.
Implementation
python3 ~/.claude/skills/continuous-learning-v2/scripts/instinct-cli.py status
Usage
/instinct-status
/instinct-status --domain code-style
/instinct-status --low-confidence
What to Do
- Read all instinct files from
~/.claude/homunculus/instincts/personal/ - Read inherited instincts from
~/.claude/homunculus/instincts/inherited/ - Display them grouped by domain with confidence bars
Output Format
📊 Instinct Status
==================
## Code Style (4 instincts)
### prefer-functional-style
Trigger: when writing new functions
Action: Use functional patterns over classes
Confidence: ████████░░ 80%
Source: session-observation | Last updated: 2025-01-22
### use-path-aliases
Trigger: when importing modules
Action: Use @/ path aliases instead of relative imports
Confidence: ██████░░░░ 60%
Source: repo-analysis (github.com/acme/webapp)
## Testing (2 instincts)
### test-first-workflow
Trigger: when adding new functionality
Action: Write test first, then implementation
Confidence: █████████░ 90%
Source: session-observation
## Workflow (3 instincts)
### grep-before-edit
Trigger: when modifying code
Action: Search with Grep, confirm with Read, then Edit
Confidence: ███████░░░ 70%
Source: session-observation
---
Total: 9 instincts (4 personal, 5 inherited)
Observer: Running (last analysis: 5 min ago)
Flags
--domain <name>: Filter by domain (code-style, testing, git, etc.)--low-confidence: Show only instincts with confidence < 0.5--high-confidence: Show only instincts with confidence >= 0.7--source <type>: Filter by source (session-observation, repo-analysis, inherited)--json: Output as JSON for programmatic use
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.
- 10d ago First seen · 80 lines · 12 tokens per session scan A 59c97a50031f
instinct-status is a command published in the GitHub repository joneqian/claude-skills-suite (32 stars, last pushed 7mo ago), licensed MIT. It adds 12 tokens to every session and 516 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to instinct-status, 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.
music-suno-prompt
Grounded Suno prompt synthesis from local knowledge corpus + persona canon + label canon. No vibes-prompting.