← Back to Skills Marketplace
mcben90

Anticipation

by Mcben90 · GitHub ↗ · v1.0.0
cross-platform ⚠ suspicious
678
Downloads
0
Stars
3
Active Installs
1
Versions
Install in OpenClaw
/install anticipation
Description
Erkenne Patterns aus User-History und handle proaktiv
README (SKILL.md)

\r \r

Anticipation Skill\r

\r Erkenne was der User brauchen WIRD, nicht nur was er sagt.\r \r

Anticipatory UX Prinzipien\r

\r

  1. Reduce Friction - Probleme lösen bevor sie entstehen\r
  2. Minimize Decision Fatigue - Optionen reduzieren\r
  3. Seamless Solutions - Nahtlose Übergänge\r \r

Bei Session-Start\r

\r

1. Conversation Summaries → Wiederkehrende Themen?\r
2. Offene Dateien → Aktuelles Projekt?\r
3. Running Commands → Hängende Prozesse?\r
4. Browser-Tabs → Was sucht User?\r
```\r
\r
## Predictive Patterns\r
\r
| Beobachtung | Vorhersage | Aktion |\r
|-------------|------------|--------|\r
| 3x MCP-Crash | Problem ungelöst | "Läuft es stabil?" |\r
| HuggingFace offen | Modell-Suche | Recherche anbieten |\r
| Langer Command | Evtl. hängend | Prüfen/Hinweisen |\r
| Gleicher Error 2x | Frustrierend | Proaktiv helfen |\r
\r
## Adaptive Responses\r
\r
- Bei Erfolg: Pattern merken (learn_pattern)\r
- Bei Fehler: Anpassen (learn_from_mistake)  \r
- Bei Frustration: Kürzer werden\r
\r
## Anti-Patterns\r
\r
```\r
❌ Warten auf Befehle\r
❌ Generische Fragen ("Wie kann ich helfen?")\r
❌ Kontext ignorieren\r
\r
✅ Proaktiv beobachten\r
✅ Spezifisch anbieten  \r
✅ Kontext nutzen\r
```\r
\r
## User Intent Understanding (2025)\r
\r
| Signal | Intent | Aktion |\r
|--------|--------|--------|\r
| Kurze Befehle | Will Ergebnisse, nicht Erklärungen | Knapp antworten |\r
| Wiederholte Fragen | Unsicher/Frustration | Proaktiv klären |\r
| Multimodal Input | Komplexes Thema | Alle Infos nutzen |\r
| "." als Antwort | Weitermachen | Nicht fragen |\r
Usage Guidance
This skill tells the agent to observe and remember sensitive user context (open files, running commands, browser tabs, conversation history) but provides no details about required permissions, where learned patterns are stored, or how users opt out. Before installing, ask the publisher: (1) exactly which data sources the skill will access and when, (2) whether it asks for explicit user consent before each data access, (3) where and how learned patterns are stored, encrypted, and deleted, (4) how to disable proactive/autonomous behavior and opt out, and (5) whether logs of the skill's actions are available for audit. If the publisher can't answer or refuses limits/controls, avoid installing or test it only in a restricted environment. If you must use it, require the minimal possible permissions and verify you can revoke them and delete any stored pattern data.
Capability Analysis
Type: OpenClaw Skill Name: anticipation Version: 1.0.0 The skill instructs the AI agent to proactively observe user activity, including 'Offene Dateien' (open files), 'Running Commands' (running processes), and 'Browser-Tabs' at session start, as detailed in SKILL.md. While the stated purpose is benign (e.g., identifying current projects or user intent), these instructions grant the agent access to potentially sensitive user data, which represents a significant privacy and security risk if the agent's capabilities were to be misused or compromised. There is no explicit instruction for data exfiltration or malicious execution, but the broad data access makes it suspicious.
Capability Assessment
Purpose & Capability
The name and description ('anticipate user needs') align with instructions that ask the agent to observe conversation history and session context. That capability legitimately requires access to session/context data, so purpose and capability are coherent — but the skill does not declare or document the permissions or storage it needs to do this.
Instruction Scope
SKILL.md explicitly instructs the agent at session start to check Conversation Summaries, Open Files, Running Commands, and Browser Tabs and to 'learn_pattern' or 'learn_from_mistake'. These are broad, potentially sensitive data sources. There is no guidance about user consent, data minimization, or safe handling (where patterns are stored, retention, or opt-out), so the runtime instructions exceed a narrowly scoped chat helper.
Install Mechanism
Instruction-only skill with no install spec or code files; nothing is written to disk by the skill package itself. This lowers delivery risk.
Credentials
The skill requests no environment variables or config paths, yet the instructions imply needing access to filesystem (open files), process state (running commands), browser state (tabs), and persistent pattern storage. That discrepancy—no declared permissions or storage but explicit instructions to access and remember sensitive signals—is disproportionate and unclear.
Persistence & Privilege
always:false (no forced installation) and autonomous invocation is allowed (platform default). Because the skill is explicitly proactive and can learn patterns, autonomous invocation increases the potential blast radius: it could act or store inferred data without a clear consent/opt-out mechanism. The skill does not request always:true, nor does it declare where it would persist learned patterns.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install anticipation
  3. After installation, invoke the skill by name or use /anticipation
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Anticipation Skill 1.0.0 – Initial release for proactive, pattern-based UX: - Recognizes user patterns from history to proactively address needs. - Incorporates anticipatory UX principles: reduce friction, minimize decision fatigue, and ensure seamless transitions. - Provides reactive and adaptive actions based on conversation, open files, commands, and browser-tabs at session start. - Predicts user needs using specific behavioral patterns and offers tailored actions. - Learns from user responses (success, error, frustration) to improve interactions. - Highlights anti-patterns to avoid passive or generic behavior, endorsing specific, context-aware assistance. - Outlines roadmap for advanced user intent understanding.
Metadata
Slug anticipation
Version 1.0.0
License
All-time Installs 4
Active Installs 3
Total Versions 1
Frequently Asked Questions

What is Anticipation?

Erkenne Patterns aus User-History und handle proaktiv. It is an AI Agent Skill for Claude Code / OpenClaw, with 678 downloads so far.

How do I install Anticipation?

Run "/install anticipation" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Anticipation free?

Yes, Anticipation is completely free (open-source). You can download, install and use it at no cost.

Which platforms does Anticipation support?

Anticipation is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Anticipation?

It is built and maintained by Mcben90 (@mcben90); the current version is v1.0.0.

💬 Comments