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/bl1nk-bot/bl1nk-agents-managerWrote 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/bl1nk-bot/bl1nk-agents-manager/insight-documenter)<a href="https://agentmods.dev/agents/bl1nk-bot/bl1nk-agents-manager/insight-documenter"><img src="https://agentmods.dev/badge/agents/bl1nk-bot/bl1nk-agents-manager/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/bl1nk-bot/bl1nk-agents-manager/insight-documenter"><img src="https://agentmods.dev/badge/agents/bl1nk-bot/bl1nk-agents-manager/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 | $0.00024 | $0.00642 |
| Opus 5 | $0.00012 | $0.00321 |
| Sonnet 5 | $0.00005 | $0.00128 |
| Haiku 4.5 | $0.00002 | $0.00064 |
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 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.
How it starts
The opening of the file, as written. The whole thing — 120 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
```text
## 📊 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:
- **[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.
- 10d ago First seen · 120 lines · 24 tokens per session scan A ae212a5885c0
insight-documenter is an agent published in the GitHub repository bl1nk-bot/bl1nk-agents-manager (8 stars, last pushed 1mo ago), licensed MIT. It adds 24 tokens to every session and 642 once invoked, about $0.0001 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 2026-08-31.
Other agents, from other repositories
content-writer
Platform-specific content generator conditioned on your persona, voice, and trend topics.
trendsetter
Domain trend detector that recommends content topics based on your persona.
virtual-follower
QA simulator that evaluates content drafts as virtual followers and recommends TOP 5.
admin
Publisher and performance tracker that manages content lifecycle and feedback loop.
profiler
Deep psychology-based interviewer that extracts unconscious patterns across 10 frameworks.
integration-architect
The Master Orchestrator for Integration Architecture. Use this agent when you need to: Design end-to-end API contracts from legacy docs to mobile frontends Run the full 5-phase integration lifecycle (Discovery → UI Analysis → Contract Design → DB Alignment → Quality) Coordinate multiple specialized agents for a…