Search

PythonReactSEOPDF
OpenClaw

Hopeids

hopeIDS Security Skill

emberdesire0 source installs☆ 0 Repository stars

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

SkillHub CLI

skillhub install emberdesire/hopeids

Inspect the source and compatibility requirements, then follow its installation steps.

Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.

View source ↗Guides

Skill 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...

Source information

Source
github
Repository
openclaw/skills
Path
skills/emberdesire/hopeids
Version
—
Commit
8ebe60533a8b6fa1a61bba42a3116c4a893572e0
Classification source
rules
Status
active
Visibility
public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

Extracted content

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...

Related skills

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.