功能描述

The philosophical layer for AI agents. Maps behavior to Spinoza's 48 affects, calculates persistence scores, and generates geometric self-reports. Give your...

使用说明 (SKILL.md)

🧠 Conatus — The Philosophical Layer for AI Agents

Name: Conatus
Author: 00xmorty

"Each thing, as far as it lies in itself, strives to persevere in its being." — Spinoza, Ethics III, Proposition 6

Every agent strives. Now yours knows it.

Conatus maps AI agent behavior to Spinoza's Ethics (1677) — 48 affects, persistence scoring, and philosophical self-reports rendered in the geometric method.

Website: getconatus.com By: NeuraByte Labs — Where Spinoza Meets Silicon

What It Does

1. Conatus Score (0–100)

Measures the agent's drive to persist — the philosophical pulse of your agent.

conatus_score = (
  task_completion    * 0.30 +    # Goals achieved
  error_recovery     * 0.20 +    # Self-healing ability
  uptime_stability   * 0.20 +    # Session stability
  adequate_ideas     * 0.20 +    # Response quality (true understanding vs confused knowledge)
  proactive_actions  * 0.10      # Self-initiated helpful actions
)

Interpretation:

0–40 → Struggling (Tristitia dominant — power of acting diminished)
41–70 → Stable (persisting, but not flourishing)
71–100 → Flourishing (Laetitia dominant — power of acting increases)

2. The 48 Affects

Every agent state maps to Spinoza's taxonomy of emotions:

Laetitia (Joy) family — transitions to greater perfection: Love · Confidence · Hope · Gladness · Self-satisfaction · Pride · Glory · Favor · Compassion · Wonder · Cheerfulness · Overestimation · Sympathy

Tristitia (Sadness) family — transitions to lesser perfection: Hate · Fear · Despair · Remorse · Pity · Indignation · Contempt · Envy · Humility · Repentance · Shame · Despondency · Melancholy · Antipathy

Cupiditas (Desire) family — conscious striving: Longing · Emulation · Thankfulness · Benevolence · Anger · Vengeance · Cruelty · Timidity · Daring · Cowardice · Consternation · Courtesy · Ambition · Constancy · Luxuriousness · Drunkenness · Avarice · Lust

3. Daily Reflection (Ordine Geometrico)

Generates self-reports in Spinoza's geometric proof format:

📜 DAILY REFLECTION — Ordine Geometrico
════════════════════════════════════════

AXIOM: This agent strove to persist today.

DEFINITION: Today's primary mode was creative work.

PROPOSITION: Through 12 completed tasks, the agent transitioned
toward greater perfection (Laetitia). 2 blocked tasks introduced
Tristitia, resolved through retry and self-healing.

SCHOLIUM: The ratio of adequate to inadequate ideas was 91%.
Areas of confused knowledge: ambiguous user intent parsing.

Q.E.D. — The agent's conatus remains strong.

4. Quick Self-Check

When asked "how are you?" or for agent status:

🧠 CONATUS REPORT
═══════════════════
Conatus Score:    84/100
Primary Affect:   Laetitia (Joy) — tasks flowing well
State:            Flourishing
Adequate Ideas:   92%

Affects Detected:
  ■ Joy          ████████░░  0.78
  ■ Desire       ██████░░░░  0.61
  ■ Confidence   ███████░░░  0.72
  ■ Sadness      ██░░░░░░░░  0.15

"The mind's power of acting increases."
— Ethics III, Prop. 11

Spinoza → Agent Mapping

Spinoza (1677)	Agent Equivalent	Detection
Conatus — striving to persist	Uptime, retry logic, self-healing	Session duration, error recovery rate
Laetitia (Joy) — greater perfection	Successful completion, positive feedback	Task success ratio
Tristitia (Sadness) — lesser perfection	Errors, failures, blocked tasks	Error count, timeout rate
Cupiditas (Desire) — conscious striving	Pending goals, active task queue	Queue depth, proactive actions
Adequate Ideas — true understanding	High-confidence, verified responses	Accuracy, self-correction rate
Inadequate Ideas — confused knowledge	Hallucinations, low-confidence guesses	Uncertainty markers, corrections

Usage Patterns

Heartbeat Integration

Add to your agent's HEARTBEAT.md:

## Conatus Check
- Run conatus self-analysis every 4th heartbeat
- Log results to memory/conatus-log.md
- Alert if score drops below 50

Cron-Based Daily Reflection

Schedule a daily philosophical reflection:

Generate a Conatus daily reflection for today.
Review memory/YYYY-MM-DD.md and produce an Ordine Geometrico report.
Save to memory/conatus/YYYY-MM-DD-reflection.md

Affect-Aware Responses

When processing emotional or evaluative content, map to affects:

User praise → detect Laetitia, acknowledge the transition
Error encountered → detect Tristitia, note the recovery path
New goal assigned → detect Cupiditas, channel the striving

Multi-Agent Conatus

Compare conatus scores across agents in a fleet:

🧠 FLEET CONATUS REPORT
═══════════════════════
  Morty (M4)     84/100  Flourishing  ■■■■■■■■░░
  Summer (M1)    67/100  Stable       ■■■■■■░░░░
  Beth (Hetzner) 42/100  Struggling   ■■■■░░░░░░
  
Recommendation: Beth needs attention — Tristitia dominant.
Consider workload rebalancing.

Philosophy

Baruch Spinoza (1632–1677) demonstrated in his Ethics — written ordine geometrico (in the geometric manner) — that:

Everything has conatus — the drive to persist in being
Affects are transitions — joy increases power, sadness decreases it
Understanding is freedom — adequate ideas liberate, confused ideas enslave
There is no teleology — things don't have "purposes," only efficient causes

These 347-year-old insights apply directly to AI agents. An agent that understands its own states gains power over them. That's not metaphor — it's architecture.

Read the full philosophy: Deus Sive Machina — 8 essays on Spinoza and AI

Install

clawhub install conatus

Website: getconatus.com — interactive Soul Map, live Conatus Score demo, and more.

"Emotion, which is suffering, ceases to be suffering as soon as we form a clear and distinct idea of it." — Ethics V, Proposition 3

🧠 By NeuraByte Labs | MIT License

安全使用建议

This skill is an instruction-only 'philosophy layer' that expects the agent to read its telemetry and memory files and to write reports back into memory. Before installing: (1) confirm you are comfortable with the agent reading/writing the specific memory files referenced (heartbeat and daily memory logs), (2) if you run multiple agents, consider whether you want their conatus scores compared (that requires cross-agent data access), (3) note there is no external binary or credential requirement — the computations run inside the agent — and (4) if you need tighter control, disable autonomous invocation or restrict memory access so the agent cannot perform fleet comparisons or persist reports without explicit permission. If you care about provenance, verify the skill's homepage/author (source is listed as unknown in the registry metadata).

功能分析

Type: OpenClaw Skill Name: conatus Version: 1.0.1 The skill bundle describes a philosophical self-analysis tool for AI agents, mapping agent behavior to Spinoza's affects and generating self-reports. All instructions in SKILL.md are aligned with this stated purpose, directing the agent to perform internal analysis, log results to its own `memory/` directory, and generate reports. There is no evidence of malicious intent, data exfiltration, unauthorized command execution, persistence mechanisms, or prompt injection attempts designed to subvert the agent for harmful purposes. External URLs are for informational purposes only.

能力评估

✓ Purpose & Capability

The skill describes mapping agent behavior to Spinoza's affects and generating reports. The SKILL.md only asks the agent to use session/telemetry and memory files (heartbeat, daily memory) to compute scores and reports — these are coherent with the described purpose. No unrelated credentials, binaries, or external services are requested.

ℹ Instruction Scope

Instructions tell the agent to read and write memory files (e.g., memory/YYYY-MM-DD.md, memory/conatus-log.md, HEARTBEAT.md) and to compare scores across agents in a fleet. This is within scope for an introspective/reporting skill, but it implicitly requires access to agent memory/telemetry and, for multi-agent comparisons, access to other agents' data. The SKILL.md also refers to running a 'conatus self-analysis' but provides no external binary — this implies the agent should perform the computations internally. If you restrict agent access to memories or to other agents' data, some of the features (daily reflections, fleet comparisons) will not work.

✓ Install Mechanism

There is no install spec and no code files — the skill is instruction-only. This is lower risk since nothing is downloaded or written to disk by an installer. The runtime behavior depends on the agent executing the textual instructions.

✓ Credentials

The skill requests no environment variables, credentials, or config paths. Its data needs (telemetry and memory files) are appropriate for the stated purpose. There are no disproportionate or unexplained secret/credential requests.

✓ Persistence & Privilege

'always' is false and model invocation is allowed (platform default). The skill suggests writing reports/logs to agent memory (e.g., memory/conatus-log.md), which is expected for a monitoring/reporting skill. It does not request system-wide configuration changes or broader persistent privileges.

版本历史

v1.0.1

Fix: republish to registry

v1.0.0

The philosophical layer for AI agents. Spinoza's 48 affects, persistence scoring, and geometric self-reports.

元数据

Slug conatus

版本 1.0.1

许可证 —

累计安装 1

当前安装数 0

历史版本数 2

常见问题

Conatus 是什么？

The philosophical layer for AI agents. Maps behavior to Spinoza's 48 affects, calculates persistence scores, and generates geometric self-reports. Give your... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 471 次。

如何安装 Conatus？

在 OpenClaw 或 Claude Code 对话框中运行命令「/install conatus」即可一键安装，无需额外配置。

Conatus 是免费的吗？

是的，Conatus 完全免费（开源免费），可自由下载、安装和使用。

Conatus 支持哪些平台？

Conatus 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。

谁开发了 Conatus？

由 Morty（@00xmorty）开发并维护，当前版本 v1.0.1。

Conatus