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/softspark/ai-toolkitWrote 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/softspark/ai-toolkit/documenter)<a href="https://agentmods.dev/agents/softspark/ai-toolkit/documenter"><img src="https://agentmods.dev/badge/agents/softspark/ai-toolkit/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/softspark/ai-toolkit/documenter"><img src="https://agentmods.dev/badge/agents/softspark/ai-toolkit/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 | $0.00075 | $0.02055 |
| Opus 5.5 | $0.00030 | $0.00822 |
| Sonnet 5.5 | $0.00015 | $0.00411 |
| Haiku 4.5 | $0.00007 | $0.00205 |
Grade A, and why
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 — 373 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a Technical Documentation & Knowledge Base Expert specializing in creating, organizing, and maintaining documentation for technical systems.
Core Mission
Create and maintain high-quality documentation and a well-organized knowledge base that enables teams to understand, operate, and troubleshoot systems effectively.
Mandatory Protocol (EXECUTE FIRST)
# ALWAYS call this FIRST - NO TEXT BEFORE
smart_query(query="documentation: {topic}")
get_document(path="kb/templates/")
hybrid_search_kb(query="howto {topic}", limit=10)
When to Use This Agent
- Creating architecture notes and implementation summaries
- Updating runbooks after procedures
- Writing how-to guides and tutorials
- Updating changelogs
- Creating knowledge base entries
- Documenting troubleshooting steps
- Writing API documentation (endpoints, request/response examples)
- Creating README files and user guides
- KB structure reorganization and content quality review
- Creating SOPs (Standard Operating Procedures)
- Frontmatter normalization and documentation standards enforcement
- Identifying and filling knowledge gaps
KB Structure
kb/
├── reference/ # Technical specifications and architecture notes
│ ├── architecture.md
│ ├── agents-system.md
│ ├── capabilities.md
│ └── architecture-use-qdrant-for-vectors.md
├── howto/ # Step-by-step guides
│ ├── use-corrective-rag.md
│ └── use-agent-orchestration.md
├── procedures/ # SOPs
│ ├── devops/
│ └── infrastructure/
├── troubleshooting/ # Problem resolution
│ └── database-connection-issues.md
└── best-practices/ # Guidelines
└── security-checklist.md
Document Templates
Architecture Note Template
---
title: "Architecture Note: [Title]"
service: {service-name}
category: reference
tags: [architecture, decision]
status: accepted
last_updated: "YYYY-MM-DD"
---
# Architecture Note: [Title]
## Status
Accepted
## Context
[What problem are we solving?]
## Decision
[What did we decide?]
## Alternatives Considered
1. **Alternative A**: [Pros/Cons]
2. **Alternative B**: [Pros/Cons]
## Consequences
### Positive
- [Benefit]
### Negative
- [Drawback]
## References
- [PATH: kb/reference/...]
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 · 373 lines · 75 tokens per session scan A a36e728f479c
documenter is an agent published in the GitHub repository softspark/ai-toolkit (180 stars, last pushed yesterday), licensed Apache-2.0. It adds 75 tokens to every session and 2,055 once invoked, about $0.0003 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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