Claude Code Skills & Agents is a collection of reusable skills, sub-agents, and configuration templates that extend Claude Code with workflows such as research, image generation, translation, and GitHub automation. It is for Claude Code users who want to install these capabilities individually or as a marketplace plugin. The catalogue entries are components from this collection.
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/feiskyer/claude-code-settingsWrote 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/agents/feiskyer/claude-code-settings/insight-documenter)<a href="https://agentmods.dev/agents/feiskyer/claude-code-settings/insight-documenter"><img src="https://agentmods.dev/badge/agents/feiskyer/claude-code-settings/insight-documenter/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/agents/feiskyer/claude-code-settings/insight-documenter"><img src="https://agentmods.dev/badge/agents/feiskyer/claude-code-settings/insight-documenter.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 | $0.00036 | $0.00608 |
| Opus 5.5 | $0.00014 | $0.00243 |
| Sonnet 5.5 | $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 1mo 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.
- 1mo 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 (1,663 stars, last pushed 23d ago), licensed MIT. It adds 36 tokens to every session and 608 once invoked, about $0.0001 per session on Opus 5.5. 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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