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 skills add spideynolove/claude-dotfiles --skill mcp-knowledge-graphgit clone --depth 1 https://github.com/spideynolove/claude-dotfilesWrote 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/skills/spideynolove/claude-dotfiles/mcp-knowledge-graph)<a href="https://agentmods.dev/skills/spideynolove/claude-dotfiles/mcp-knowledge-graph"><img src="https://agentmods.dev/badge/skills/spideynolove/claude-dotfiles/mcp-knowledge-graph/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/skills/spideynolove/claude-dotfiles/mcp-knowledge-graph"><img src="https://agentmods.dev/badge/skills/spideynolove/claude-dotfiles/mcp-knowledge-graph.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 | $0.00051 | $0.00612 |
| Opus 5.5 | $0.00020 | $0.00245 |
| Sonnet 5.5 | $0.00010 | $0.00122 |
| Haiku 4.5 | $0.00005 | $0.00061 |
Grade A, and why
mcp-knowledge-graph 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 — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.
MCP Knowledge Graph
When To Use
Use this skill when:
- Starting work on a codebase you want to remember across sessions
- Extracting and persisting architectural facts like components, dependencies, and decisions
- Building a project knowledge graph from broad codebase analysis
- Querying previously stored architectural context instead of re-reading files
Do not use it for temporary session notes, raw code dumps, or general chat memory.
Core Workflow
- Gather broad codebase context first, often with
repomix - Extract durable facts, not raw code
- Store entities with
aim_memory_store - Store relations with
aim_memory_link - Append facts with
aim_memory_add_facts - Query later with
aim_memory_searchoraim_memory_get
Storage Choice
| Use case | location |
context |
Result |
|---|---|---|---|
| Team or project knowledge | "project" |
omit | .aim/memory.jsonl in the repo |
| Personal notes for a project | "global" |
omit | global memory file |
| Separate named personal graph | "global" |
set | named global memory db |
Default to location: "project" with no context so the graph is easy to discover and commit.
Main Operations
| Tool | Purpose |
|---|---|
aim_memory_store |
Create entities |
aim_memory_link |
Create typed relations |
aim_memory_add_facts |
Append observations |
aim_memory_search |
Keyword search across the graph |
aim_memory_get |
Exact lookup by entity name |
aim_memory_read_all |
Dump a graph for review |
aim_memory_list_stores |
Discover available stores |
aim_memory_forget |
Delete entities |
aim_memory_remove_facts |
Delete observations |
aim_memory_unlink |
Delete relations |
Entity Design
- Use stable entity names like
AuthService,UserRepository,BillingFlow - Use semantic types like
service,repository,module,decision,concept - Store facts as concise observations
- Use active relation verbs like
depends_on,calls,owns,implements
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 · 72 lines · 51 tokens per session scan A affb3be98887
mcp-knowledge-graph is a skill published in the GitHub repository spideynolove/claude-dotfiles (2 stars, last pushed 5mo ago), licensed MIT. It adds 51 tokens to every session and 612 once invoked, about $0.0002 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 2026-08-31.
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