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-import)<a href="https://agentmods.dev/commands/joneqian/claude-skills-suite/instinct-import"><img src="https://agentmods.dev/badge/commands/joneqian/claude-skills-suite/instinct-import/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-import"><img src="https://agentmods.dev/badge/commands/joneqian/claude-skills-suite/instinct-import.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 | $0.00015 | $0.00862 |
| Opus 5 | $0.00008 | $0.00431 |
| Sonnet 5 | $0.00003 | $0.00172 |
| Haiku 4.5 | $0.00002 | $0.00086 |
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 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-import — 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.
How it starts
The opening of the file, as written. The whole thing — 136 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Instinct Import Command
Implementation
python3 ~/.claude/skills/continuous-learning-v2/scripts/instinct-cli.py import <file-or-url> [--dry-run] [--force] [--min-confidence 0.7]
Import instincts from:
- Teammates' exports
- Skill Creator (repo analysis)
- Community collections
- Previous machine backups
Usage
/instinct-import team-instincts.yaml
/instinct-import https://github.com/org/repo/instincts.yaml
/instinct-import --from-skill-creator acme/webapp
What to Do
- Fetch the instinct file (local path or URL)
- Parse and validate the format
- Check for duplicates with existing instincts
- Merge or add new instincts
- Save to
~/.claude/homunculus/instincts/inherited/
Import Process
📥 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?
Merge Strategies
For Duplicates
When importing an instinct that matches an existing one:
- Higher confidence wins: Keep the one with higher confidence
- Merge evidence: Combine observation counts
- Update timestamp: Mark as recently validated
For Conflicts
When importing an instinct that contradicts an existing one:
- Skip by default: Don't import conflicting instincts
- Flag for review: Mark both as needing attention
- Manual resolution: User decides which to keep
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 · 136 lines · 15 tokens per session scan A 210e2e58f37c
instinct-import is a command published in the GitHub repository joneqian/claude-skills-suite (32 stars, last pushed 7mo ago), licensed MIT. It adds 15 tokens to every session and 862 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-import, differing in 0 lines, and is treated as a copy.
Other commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.