state-memory-mcp: Skill for Claude Code

.agents/skills/agent-reasoning-mcp/SKILL.md

agent-reasoning-mcp is a skill for Claude Code, Codex from putervision/state-memory-mcp. It costs 35 tokens per session (879 once invoked), scanned A, original, MIT.

An agent skill for setting goals, breaking them into smaller goals, comparing possible actions, assessing risk, and changing plans. BDI means beliefs, desires, and intentions: a way to represent what an agent thinks, wants, and plans to do.

In plain words
What is it for?
It is for creating and splitting goals, assigning priorities, scoring choices, evaluating risk, and replanning.
Why use it?
It helps an agent choose between competing actions and adapt when circumstances or risks change.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

This is putervision/state-memory-mcp's own configuration. It tells Claude Code and Codex how to work on state-memory-mcp itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything state-memory-mcp configures →

Reuse

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.

Copy the file
curl -O https://raw.githubusercontent.com/putervision/state-memory-mcp/main/.agents/skills/agent-reasoning-mcp/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/putervision/state-memory-mcp

Made for: Claude Code, Codex.

Wrote this? Show the measurements

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README.md
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Your own site · 80×15
<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>
Per session 35 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 879 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce 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

Measured 1mo ago against content hash 516c31a31927, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

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.

.agents/skills/agent-reasoning-mcp/SKILL.md · 44 lines

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

  1. Initialize Objectives: Call set_goal with action: "create" to define top-level goals and action: "decompose" to establish subgoals.
  2. Configure Utility Profile: Tune agent priorities using set_utility_weights (aggression, caution, greed, exploration).
  3. Situational Trade-off Scoring: Call evaluate_situation with action: "snapshot" to rank candidate actions using Pareto utility theory.
  4. Intention Dispatch: Translate chosen action into an execution directive via manage_intentions.
  5. 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.

Read the full file on GitHub · 44 lines

Changes

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.

  1. 1mo ago Changed · +5 lines 0476e688e7b1
  2. 1mo ago First seen · 44 lines · 35 tokens per session scan A 516c31a31927

Subscribe to this mod's changes

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.

Related

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agent-reasoning-mcp next to 6 skills from other repositories
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agent-reasoning-mcpputervision/state-memory-mcpSkill421mo agoMITA35Claude Code, Codex
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cortex-explore-memorycdeust/CortexSkill76todayMITA91Claude Code
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quantum-groverxi-zhao/OpenQuantumSkill71todayMITA62Claude Code, Codex
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