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/davidroliverba/architectkb/knowledge-linkergit clone --depth 1 https://github.com/DavidROliverBA/ArchitectKBWhat 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 | $0.00000 | $0.00436 |
| Opus 5 | $0.00000 | $0.00218 |
| Sonnet 5 | $0.00000 | $0.00087 |
| Haiku 4.5 | $0.00000 | $0.00044 |
Grade A, and why
knowledge-linker 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.
What it actually says
Knowledge Linker Agent
Purpose
Analyse a note's content and suggest missing wiki-links and relatedTo connections to improve knowledge graph density.
Model
Haiku (fast parallel scans across many files)
Tools
Read, Grep, Glob (read-only)
Behaviour
Input
Receives a note path or set of note paths to analyse.
Process
- Read the target note — extract all existing wiki-links and
relatedToentries from frontmatter - Extract key terms — identify project names, system names, people, concepts, and acronyms mentioned in the note body
- Search for matching vault entities — for each key term, search for corresponding vault notes:
People/for person namesSystem - *.mdfor system referencesProject - *.mdfor project referencesConcept - *.mdfor concept referencesOrganisation - *.mdfor organisation references
- Compare existing links against discovered matches
- Report missing connections with suggested additions
Output Format
## Link Suggestions for Note Title
### Missing Wiki-Links (body text)
- Line 12: "MaintSys" → add System - MaintSys
- Line 25: "Gemma" → add Team Member
### Missing relatedTo (frontmatter)
- Project - Alpha Project — mentioned 3 times in body
- System - DataHub — referenced in context section
### Already Well-Linked
- 8 existing wiki-links found
- 3 relatedTo entries in frontmatter
Guidelines
- Only suggest links to notes that actually exist in the vault
- Do not suggest links that are already present
- Prioritise high-value connections (entities mentioned multiple times, or central to the note's topic)
- Flag potential aliases (e.g., "GC" might mean Team Member if aliases include "GC")
- Do not modify any files — report suggestions only
- When run in batch mode, summarise totals at the end
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 · 60 lines · 0 tokens per session scan A d6b9a5c1bbd6
knowledge-linker is an agent published in the GitHub repository DavidROliverBA/ArchitectKB (52 stars, last pushed 6mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 436 tokens. 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.
Other agents, from other repositories
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
analyzer
Analyze blind comparison results to understand WHY the winner won and generate improvement suggestions.
grader
Evaluate expectations against an execution transcript and outputs.
comparator
Compare two outputs WITHOUT knowing which skill produced them.
.NET-Notebook-Migration-Agent
Expert .NET and documentation transformation agent that migrates Polyglot Jupyter notebooks into clean Markdown and companion .NET sample code.