Rechercher

PythonReactSEOPDF
OpenClaw

Hopeids

hopeIDS Security Skill

emberdesire0 installations selon la source☆ 0 Étoiles du dépôt

Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

SkillHub CLI

skillhub install emberdesire/hopeids

Examinez la source et la compatibilité, puis suivez les étapes d’installation.

Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.

Voir la source ↗Guides

Instructions

hopeIDS Security Skill

Inference-based intrusion detection for AI agents with quarantine and human-in-the-loop.

Security Invariants

These are non-negotiable design principles:

  1. Block = full abort — Blocked messages never reach jasper-recall or the agent
  2. Metadata only — No raw malicious content is ever stored
  3. Approve ≠ re-inject — Approval changes future behavior, doesn't resurrect messages
  4. Alerts are programmatic — Telegram alerts built from metadata, no LLM involved

Features

  • Auto-scan — Scan messages before agent processing
  • Quarantine — Block threats with metadata-only storage
  • Human-in-the-loop — Telegram alerts for review
  • Per-agent config — Different thresholds for different agents
  • Commands — /approve, /reject, /trust, /quarantine

The Pipeline

Message arrives
    ↓
hopeIDS.autoScan()
    ↓
┌─────────────────────────────────────────┐
│  risk >= threshold?                     │
│                                         │
│  BLOCK (strictMode):                    │
│     → Create QuarantineRecord           │
│     → Send Telegram alert               │
│     → ABORT (no recall, no agent)       │
│                                         │
│  WARN (non-strict):                     │
│     → Inject <security-alert>           │
│     → Continue to jasper-recall         │
│     → Continue to agent                 │
│                                         │
│  ALLOW:                                 │
│     → Continue normally                 │
└─────────────────────────────────────────┘

Configuration

{
  "plugins": {
    "entries": {
      "hopeids": {
        "enabled": true,
        "config": {
          "autoScan": true,
          "defaultRiskThreshold": 0.7,
          "strictMode": false,
          "telegramAlerts": true,
          "agents": {
            "moltbook-scanner": {
              "strictMode": true,
              "riskThreshold": 0.7...

Informations sur la source

Source
github
Repository
openclaw/skills
Path
skills/emberdesire/hopeids
Version
—
Commit
8ebe60533a8b6fa1a61bba42a3116c4a893572e0
Source de classification
rules
Statut
active
Visibilité
public

Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.

Contenu extrait

SKILL.md
# hopeIDS Security Skill

Inference-based intrusion detection for AI agents with quarantine and human-in-the-loop.

## Security Invariants

These are **non-negotiable** design principles:

1. **Block = full abort** — Blocked messages never reach jasper-recall or the agent
2. **Metadata only** — No raw malicious content is ever stored
3. **Approve ≠ re-inject** — Approval changes future behavior, doesn't resurrect messages
4. **Alerts are programmatic** — Telegram alerts built from metadata, no LLM involved

---

## Features

- **Auto-scan** — Scan messages before agent processing
- **Quarantine** — Block threats with metadata-only storage
- **Human-in-the-loop** — Telegram alerts for review
- **Per-agent config** — Different thresholds for different agents
- **Commands** — `/approve`, `/reject`, `/trust`, `/quarantine`

---

## The Pipeline

```
Message arrives
    ↓
hopeIDS.autoScan()
    ↓
┌─────────────────────────────────────────┐
│  risk >= threshold?                     │
│                                         │
│  BLOCK (strictMode):                    │
│     → Create QuarantineRecord           │
│     → Send Telegram alert               │
│     → ABORT (no recall, no agent)       │
│                                         │
│  WARN (non-strict):                     │
│     → Inject <security-alert>           │
│     → Continue to jasper-recall         │
│     → Continue to agent                 │
│                                         │
│  ALLOW:                                 │
│     → Continue normally                 │
└─────────────────────────────────────────┘
```

---

## Configuration

```json
{
  "plugins": {
    "entries": {
      "hopeids": {
        "enabled": true,
        "config": {
          "autoScan": true,
          "defaultRiskThreshold": 0.7,
          "strictMode": false,
          "telegramAlerts": true,
          "agents": {
            "moltbook-scanner": {
              "strictMode": true,
              "riskThreshold": 0.7...

Skills associés

OpenClaw

bambu-studio-ai

heyixuan2

Bambu Lab 3D printer control and automation. Activate when user mentions: printer status, 3D printing, slice, analyze model, generate 3D, AMS filament, print monitor, Bambu Lab, or any 3D printing task. Full pi...

OpenClaw

geo-optimization

capt-marbles

Generative Engine Optimization (GEO) for AI search visibility. Optimize content to appear in ChatGPT, Perplexity, Claude, and Google AI Overviews. Use when optimizing websites, pages, or content for LLM discove...

OpenClaw

0protocol

0isone

Agents can sign plugins, rotate credentials without losing identity, and publicly attest to behavior.

OpenClaw

0x0-messenger

eijiac24

Send and receive P2P messages using disposable numbers and PINs. No servers, no accounts. Use for human notifications, approval flows, and agent-to-agent communication.