Borrowing it
Nothing to install: this file belongs to putervision/state-memory-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/putervision/state-memory-mcp/main/.agents/skills/agent-reasoning-mcp/SKILL.mdgit clone --depth 1 https://github.com/putervision/state-memory-mcpWrote 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/putervision/state-memory-mcp/agent-reasoning-mcp)<a href="https://agentmods.dev/skills/putervision/state-memory-mcp/agent-reasoning-mcp"><img src="https://agentmods.dev/badge/skills/putervision/state-memory-mcp/agent-reasoning-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/skills/putervision/state-memory-mcp/agent-reasoning-mcp"><img src="https://agentmods.dev/badge/skills/putervision/state-memory-mcp/agent-reasoning-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 | $0.00035 | $0.00879 |
| Opus 5.5 | $0.00014 | $0.00352 |
| Sonnet 5.5 | $0.00007 | $0.00176 |
| Haiku 4.5 | $0.00003 | $0.00088 |
Grade A, and why
agent-reasoning-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.
How it starts
The opening of the file, as written. The whole thing — 44 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Strategic Agent Reasoning (agent-reasoning-mcp)
This skill provides step-by-step guidance and operational patterns for interacting with @putervision/agent-reasoning-mcp with project slug "state-memory-mcp".
1. Role in the PuterVision Pentad
- Workflow State (
state-memory-mcp): Persistent task DAGs, decisions, milestones, and blockers. - Perception (
vision-memory-mcp): Visual layout caching, screenshots, and visual specifications. - Spatial World (
world-model-mcp): Persistent 3D/2D coordinates, bounding boxes, and topological relations. - Strategic Reasoning (
agent-reasoning-mcp): BDI goal decomposition, multi-attribute expected utility calculation, belief decay, risk assessment, and replanning. - Tactical Execution (
behavior-mcp): Deterministic ~60Hz browser behavior tree execution and reactive preemption.
2. Core Operational Sequence
- Initialize Objectives: Call
set_goalwithaction: "create"to define top-level goals andaction: "decompose"to establish subgoals. - Configure Utility Profile: Tune agent priorities using
set_utility_weights(aggression, caution, greed, exploration). - Situational Trade-off Scoring: Call
evaluate_situationwithaction: "snapshot"to rank candidate actions using Pareto utility theory. - Intention Dispatch: Translate chosen action into an execution directive via
manage_intentions. - Reactive Replanning: If an unexpected obstacle or blocker emerges, invoke
replan.
3. Complete 10 Consolidated MCP Tools Reference
| Tool Name | Key Actions | Key Parameters | Description |
|---|---|---|---|
set_goal |
create, update, get, list, decompose, archive |
title, description, priority, parent_id, subgoals |
Hierarchical BDI goal management and task DAG decomposition. |
evaluate_situation |
snapshot, quick |
snapshot, candidates, utility_profile |
Multi-attribute utility evaluation ranking candidate actions from environment state. |
replan |
blocker, recovery, alternative |
goal_id, blocker_description, strategy |
Adaptive DAG reconstruction and alternative path discovery upon obstacles. |
assess_risk |
assess, matrix |
hazards, tolerance, mitigations |
Quantitative threat matrix and probabilistic risk scoring. |
query_knowledge |
search, lookup, heuristics |
query, category, tags |
Knowledge retrieval of past decision heuristics and domain heuristics. |
set_utility_weights |
configure, get, list, profile |
name, weights (aggression, caution, greed, exploration) |
Utility weight tuning and personality profile management. |
get_decision_trace |
get, list, explain |
trace_id, limit |
Explainable chain-of-thought rationale playback and auditing. |
manage_beliefs |
set, get, decay, list |
key, value, confidence, decay_rate |
Structured belief state with temporal exponential confidence decay. |
manage_intentions |
create, get, list, dispatch, cancel |
goal_id, behavior_name, parameters |
Execution directives queue connecting strategic plans to runtime engines. |
manage_reasoning_db |
stats, audit, snapshot, restore, prune |
action, name, description |
Database diagnostics, snapshots, and SHA-256 Merkle audit verification. |
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 Changed · +5 lines 0476e688e7b1
- 1mo ago First seen · 44 lines · 35 tokens per session scan A 516c31a31927
agent-reasoning-mcp is a skill published in the GitHub repository putervision/state-memory-mcp (42 stars, last pushed 1mo ago), licensed MIT. It adds 35 tokens to every session and 879 once invoked, about $0.0001 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 2026-09-11.
agent-reasoning-mcp compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| agent-reasoning-mcpputervision/state-memory-mcp | Skill | 42 | 1mo ago | MIT | A | 35 | Claude Code, Codex |
| opik-diagnosecomet-ml/opik-mcp | Skill | 225 | 9d ago | Apache-2.0 | A | 187 | Claude Code |
| cortex-explore-memorycdeust/Cortex | Skill | 76 | today | MIT | A | 91 | Claude Code |
| qmclaw-workbenchxi-zhao/OpenQuantum | Skill | 71 | today | MIT | A | 124 | Codex |
| quantum-groverxi-zhao/OpenQuantum | Skill | 71 | today | MIT | A | 62 | Claude Code, Codex |
| quantum-algorithmsxi-zhao/OpenQuantum | Skill | 71 | today | MIT | A | 34 | Claude Code, Codex |
| alicebob-cat-circuitsxi-zhao/OpenQuantum | Skill | 71 | today | MIT | A | 51 | Claude Code, Codex |