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 skills/stevepridemore/graph-memory/graph-briefingnpx skills add stevepridemore/graph-memory --skill graph-briefinggit 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-briefing)<a href="https://agentmods.dev/skills/stevepridemore/graph-memory/graph-briefing"><img src="https://agentmods.dev/badge/skills/stevepridemore/graph-memory/graph-briefing.svg" alt="Measured on agentmods" 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 | $0.00043 | $0.00384 |
| Opus 5 | $0.00022 | $0.00192 |
| Sonnet 5 | $0.00009 | $0.00077 |
| Haiku 4.5 | $0.00004 | $0.00038 |
Grade A, and why
graph-briefing 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 3d 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
Generate a structured session briefing from the memory graph.
Arguments: $ARGUMENTS
Steps:
- Call
graph_statsto get overall health and last dream run timestamp - Call
graph_querywith project_context set to the current working directory, context_level: "minimal" to get entities relevant to the current project - Call
graph_contradictionsto find any unresolved conflicts - If --full flag: also call
graph_ingestwith action: "status" to check pending ingests, and callgraph_querywith current_only: false to show recently superseded facts
Present the briefing in this format:
Session Briefing
Project: [current project name from directory] Last dream run: [timestamp] ([how long ago]) Graph: [node count] entities, [edge count] relationships
What's Changed Recently
- [List entities/edges updated since last session, if any]
- [Recently superseded facts — what changed and when]
Unresolved Contradictions
- [Any CONTRADICTS edges with resolved=false]
- [Or "None — graph is consistent"]
Relevant to Current Project
- [Top entities connected to active project, by effective weight]
- [Recent events related to this project]
- [Key decisions still active for this project]
Pending
- [Unprocessed transcripts count]
- [Pending ingest documents]
- [Or "All caught up"]
If the graph is empty or Neo4j is not running, say so and suggest running /graph-dream or the bootstrap.
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.
- 3d ago First seen · 46 lines · 43 tokens per session scan A d063fd02bc14
graph-briefing is a skill published in the GitHub repository stevepridemore/graph-memory (2 stars, last pushed 3mo ago), licensed MIT. It adds 43 tokens to every session and 384 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 2026-08-31.
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