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 stevepridemore/graph-memory --skill graph-statsgit clone --depth 1 https://github.com/stevepridemore/graph-memoryWrote 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/stevepridemore/graph-memory/graph-stats)<a href="https://agentmods.dev/skills/stevepridemore/graph-memory/graph-stats"><img src="https://agentmods.dev/badge/skills/stevepridemore/graph-memory/graph-stats/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/stevepridemore/graph-memory/graph-stats"><img src="https://agentmods.dev/badge/skills/stevepridemore/graph-memory/graph-stats.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 | $0.00044 | $0.00249 |
| Opus 5.5 | $0.00018 | $0.00100 |
| Sonnet 5.5 | $0.00009 | $0.00050 |
| Haiku 4.5 | $0.00004 | $0.00025 |
Grade A, and why
graph-stats 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.
What it actually says
The user wants to see the memory graph status.
Steps:
-
Call the
graph_statsMCP tool (no arguments needed) -
Call the
graph_ingestMCP tool with action: "status" to get ingest queue info -
Present a clean dashboard:
Memory Graph Dashboard
Nodes — total and breakdown by type (Person, Project, Preference, Concept, Decision, Fact, Event, Object) Edges — total and breakdown by type
Health
- Average edge weight
- Orphaned nodes (no connections)
- Unresolved contradictions
- Stale nodes (confidence < 0.2)
Ingest Queue
- Pending documents
- Recently completed
Last dream run — timestamp and what changed
If there are unresolved contradictions, highlight them and offer to show details. If there are stale nodes, mention they may need review or will be pruned.
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 · 32 lines · 44 tokens per session scan A 1aca6de33b7c
graph-stats is a skill published in the GitHub repository stevepridemore/graph-memory (2 stars, last pushed 7d ago), licensed MIT. It adds 44 tokens to every session and 249 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.
Other skills, from other repositories
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install-waggle
Install the official Waggle plugin locally for Codex from the latest stable Abhigyan-Shekhar/Waggle-mcp GitHub Release. Use for explicit requests such as "Install Waggle", "Set up Waggle", "Install Waggle for Codex", or "Enable Waggle". Do not use for Waggle operation, repair, updates, configuration, or memory…
example-skill
Example module showing the format. Use when: testing /enable-modules, learning to author a module.
goodmem:mcp
Workflow guide for GoodMem MCP server tools. Use when an agent needs to understand what GoodMem MCP tools are available and how to use them. Parameter signatures are provided by the MCP protocol itself — do not hardcode them here.
goodmem:help
Overview of all available GoodMem skills and what a user needs to get started. Invoke when a user asks what GoodMem skills are available, how to get started, or what they need to set up.
goodmem:java
Use when the user wants to write Java code that interacts with GoodMem - creating embedders, spaces, memories, retrieval, pagination, streaming, or async workflows with the goodmem-java SDK.