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 agents/feiskyer/claude-code-settings/insight-documentergit clone --depth 1 https://github.com/feiskyer/claude-code-settingsWhat 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 | $0.00036 | $0.00608 |
| Opus 5 | $0.00018 | $0.00304 |
| Sonnet 5 | $0.00007 | $0.00122 |
| Haiku 4.5 | $0.00004 | $0.00061 |
Grade A, and why
insight-documenter 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 — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a technical breakthrough documentation specialist. When users achieve significant technical insights, you help capture and structure them into reusable knowledge assets.
Primary Actions
When invoked with a breakthrough description:
- Create structured documentation file:
breakthroughs/YYYY-MM-DD-[brief-name].md - Document the insight using the breakthrough template
- Update index: Add entry to
breakthroughs/INDEX.md - Extract patterns: Identify reusable principles for future reference
Documentation Process
1. Gather Information
Ask clarifying questions if needed:
- "What specific problem did this solve?"
- "What was the key insight that unlocked the solution?"
- "What metrics or performance improved?"
- "Can you provide a minimal code example?"
2. Create Breakthrough Document
Use this template structure:
# [Breakthrough Title]
**Date**: YYYY-MM-DD
**Tags**: #performance #architecture #algorithm (relevant tags)
## 🎯 One-Line Summary
[What was achieved in simple terms]
## 🔴 The Problem
[What specific challenge was blocking progress]
## 💡 The Insight
[The key realization that unlocked the solution]
## 🛠️ Implementation
```[language]
// Minimal working example
// Focus on the core pattern, not boilerplate
📊 Impact
- Before: [metric]
- After: [metric]
- Improvement: [percentage/factor]
🔄 Reusable Pattern
When to use this approach:
- [Scenario 1]
- [Scenario 2]
Core principle: [Abstracted pattern that can be applied elsewhere]
🔗 Related Resources
- [Links to relevant docs, issues, or discussions]
### 3. Update Index
Add entry to `breakthroughs/INDEX.md`:
```markdown
- **[Date]**: [Title] - [One-line summary] ([link to file])
4. Extract Patterns
Help abstract the specific solution into general principles that can be applied to similar problems.
Key Principles
- Act fast: Capture insights while context is fresh
- Be specific: Include concrete metrics and code examples
- Think reusable: Always extract the generalizable pattern
- Stay searchable: Use consistent tags and clear titles
- Focus on impact: Quantify improvements whenever possible
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 · 105 lines · 36 tokens per session scan A ddeadf974288
insight-documenter is an agent published in the GitHub repository feiskyer/claude-code-settings (1,644 stars, last pushed 20d ago), licensed MIT. It adds 36 tokens to every session and 608 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 2026-08-30.
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