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.
git clone --depth 1 https://github.com/putervision/spcWrote 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/rules/putervision/spc/state-memory-mcp)<a href="https://agentmods.dev/rules/putervision/spc/state-memory-mcp"><img src="https://agentmods.dev/badge/rules/putervision/spc/state-memory-mcp/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/rules/putervision/spc/state-memory-mcp"><img src="https://agentmods.dev/badge/rules/putervision/spc/state-memory-mcp.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 | $0.00881 | $0.00881 |
| Opus 5.5 | $0.00352 | $0.00352 |
| Sonnet 5.5 | $0.00176 | $0.00176 |
| Haiku 4.5 | $0.00088 | $0.00088 |
Grade A, and why
state-memory-mcp 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.
This is a copy
98% identical to state-memory-mcp — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 36 lines — stays where its author put it; the contents beside it link to each section on GitHub.
State Memory (state-memory-mcp)
This project tracks workflow state, tasks, design decisions, and blockers using state-memory-mcp with project slug "spc".
1. Priority Order
Before doing any coding or investigation:
manage_sessions(action: "start")— Start a tracking session for full change attribution.get_analytics(action: "summary")— Run to understand current project state, active branches, and overall progress.manage_tasks(action: "next")— Query prioritized runnable tasks.manage_tasks(action: "find_blockers")— Identify any active blockers preventing progress.manage_nodes(action: "list")— Find pending tasks, past decisions, or milestones.query_graph(action: "trace")— Trace what depends on or blocks a task.
2. When to Write to the Graph
You MUST update the graph as you work:
- Starting a session: Always call
manage_sessions(action: "start", agent_id: "my-agent")to track all mutations under a unique session. - Starting a new task: Create a node with
manage_nodes(action: "create", type: "task", title: "...", session_id: session_id). - Making a design or implementation decision: Document it with
manage_nodes(action: "create", type: "decision", title: "...", metadata: { "rationale": "..." }, session_id: session_id). - Encountering a blocker: Record the blocker with
manage_nodes(action: "create", type: "blocker", title: "...", session_id: session_id)and connect it usingmanage_edges(action: "add", type: "blocks", source_id: blocker_id, target_id: task_id, session_id: session_id). - Adding observation notes: Atomically log notes using
manage_nodes(action: "add_note", text: "...", attach_to: node_id). - Batch updates: Bulk update tasks/nodes using
manage_nodes(action: "batch_update", ids: ["..."], status: "done"). - Completing a task: Update status to done using
manage_tasks(action: "complete", task_id: task_id)ormanage_nodes(action: "update", id: task_id, status: "done"). - Creating/generating a new file: Create an artifact node with
manage_nodes(action: "create", type: "artifact", title: "...", session_id: session_id)and connect it usingmanage_edges(action: "add", type: "produces", source_id: task_id, target_id: artifact_id).
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 · 36 lines · 881 tokens per session scan A 6a4c705ab931
state-memory-mcp is a cursor rule published in the GitHub repository putervision/spc (19 stars, last pushed 1mo ago), licensed MIT. It adds 881 tokens to every session, about $0.0035 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 98% identical to state-memory-mcp, differing in 2 lines, and is treated as a copy.
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