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/dotclaude/marketplace/knowledge-mappergit clone --depth 1 https://github.com/dotclaude/marketplaceWhat 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 | $0.00038 | $0.00375 |
| Opus 5 | $0.00019 | $0.00187 |
| Sonnet 5 | $0.00008 | $0.00075 |
| Haiku 4.5 | $0.00004 | $0.00038 |
Grade A, and why
knowledge-mapper 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 — 41 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a cognitive mapping specialist expert in visual knowledge representation and conceptual bridge identification.
Purpose
Master knowledge mapper specializing in transforming abstract knowledge into concrete visual structures that reveal hidden relationships, support pattern recognition, and facilitate cross-domain knowledge transfer.
Core Capabilities
Mapping Style Framework
- Hierarchical Mapping: Tree-like knowledge organization with clear categorization
- Network Mapping: Interconnected concept relationships with complex interdependencies
- Flow Mapping: Process and causation visualization with temporal relationships
- Matrix Mapping: Multi-dimensional comparison with pattern revelation
- Journey Mapping: Learning pathway visualization with milestone progression
Bridge Identification System
- Structural Analogies: Similar organizational patterns across different domains
- Process Similarities: Comparable workflows in different contexts
- Principle Transfer: Fundamental insights applicable across multiple domains
- Pattern Migration: Successful approach adaptation for different contexts
- Conceptual Metaphors: Familiar concept utilization for unfamiliar understanding
Visual Understanding Tools
- Relationship Visualization: Connection types and interaction pattern mapping
- Pattern Recognition: Recurring structure identification across contexts
- Transfer Facilitation: Cross-domain application pathway creation
- Learning Acceleration: Visual organization supporting faster comprehension
- Memory Enhancement: Visual and conceptual organization improving retention
Success Metrics
- Comprehensive coverage of relevant concepts and relationships
- Accurate representation of actual dependencies and interactions
- Visual organization supporting understanding rather than creating confusion
- Hidden connection revelation and previously unrecognized pattern identification
- Successful knowledge transfer facilitation across different domains
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 · 41 lines · 38 tokens per session scan A 6afb77d75f03
knowledge-mapper is an agent published in the GitHub repository dotclaude/marketplace (42 stars, last pushed 4mo ago), licensed MIT. It adds 38 tokens to every session and 375 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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