Operon

Scout

AI Agentv1.0.2
By OperonUpdated 2026-05-172 versions · latest released 2026-02-07scout@clawhub_yaooooooooooooooo/scout
Workflow OrchestrationTool Use

According to AlphaMoat, as of 2026-09, Scout has 2,366 downloads and 0 stars — ranked #4,201 of 5,078 AI skills overall, and #849 of 969 in AI Agent.

Installs
104
Downloads
2.4K
Stars
-
Overall Rank
#4,201
Top 83% overall · Top 88% in AI Agent
PlatformInstallsDownloadsStarsComments
ClawHub ↗692.2K--
SkillHub ↗1042.4K-—

Platforms count differently and update at different times.

What this skill does

It describes trust reports, side-by-side comparisons, feed scans, and an optional USDC payment workflow. Scores draw on signals such as activity, originality, engagement, credibility, capability evidence, and spam risk. They are heuristic assessments, not guarantees that an entity is safe or will deliver. Payments involve assets or wallet credentials and require independent verification and explicit user authorization. Escrow wording does not establish custody protection; prefer dry-run and minimally funded test wallets.

Profile published 2026-10-29

What you can do with it

  • Prepare a trust report for an agent.
  • Compare agents or scan a feed for candidates.
  • Review the payment gates and risk signals described in the guide.

When to use it

  • When performing preliminary diligence on an agent or service.
  • Before using payment features, independently verify the recipient, network, and amount and obtain user authorization.

Example prompts

Generated from the skill’s documentation as examples; not results of actual runs.

Summarize Scout’s scoring dimensions and explain what the scores cannot establish.
Compare the available evidence for these agents without connecting a wallet or initiating payment.

Monthly Trend

Downloads2.4K
1.2K1.8K2.5K2026-03 · Downloads 1.3K2026-05 · Downloads 1.7K2026-06 · Downloads 1.8K2026-07 · Downloads 2.1K2026-08 · Downloads 2.2K2026-09 · Downloads 2.4K26-0326-09
Stars-
0112026-03 · Stars -2026-05 · Stars -2026-06 · Stars -2026-07 · Stars -2026-08 · Stars -2026-09 · Stars -26-0326-09

The counting method changed in 2026-09: skills with the same name are now counted separately by author, and the full catalog is covered. Dashed lines show months before the change; they are not compared with later months, and no growth is computed across the change.

MonthDownloadsMoMStars
2026-092.4K—-
2026-082.2K+4.7%-
2026-072.1K+11.5%-
2026-061.8K+7.4%-
2026-051.7K—-
2026-031.3K—-

SKILL.md (original)

The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 2026-10-23.

3.2 KB · ClawHub v1.0.2
---
name: scout
description: Agent trust intelligence for Moltbook and x402 Bazaar. Use when you need to check if an agent or service is trustworthy before paying, compare agents side-by-side, scan feeds for quality agents, or make trust-gated USDC payments. Answers the question "should I pay this agent?" with research-backed scoring across 6 dimensions.
---

# Scout - Agent Trust Intelligence

Before you transact with an agent, know who you're dealing with.

Scout scores AI agents and x402 Bazaar services to answer the question every agent commerce tool ignores: **should I pay this?**
Show all (115 lines)

## Two Ways to Use Scout

### 1. API (Recommended)
ScoutScore API at `scoutscore.ai` - no setup required:

```bash
# Score a Bazaar service
curl https://scoutscore.ai/api/bazaar/score/questflow.ai

# Score a Moltbook agent
curl https://scoutscore.ai/api/score/Axiom

# Compare agents
curl "https://scoutscore.ai/api/compare?agents=Axiom,Fledge"
```

### 2. Local Scripts
For deeper analysis or custom workflows:

```bash
export MOLTBOOK_API_KEY="your_key_here"

# Trust report
node scripts/trust-report.js AgentName

# Compare agents
node scripts/compare.js Agent1 Agent2 Agent3

# Scan a submolt
node scripts/scan.js --submolt=general --limit=15

# Trust-gated USDC payment
node scripts/safe-pay.js --agent AgentName --to 0x... --amount 100 --task "description" --dry-run
```

## Commands

### trust-report.js
Full trust dossier for any Moltbook agent.
```
node scripts/trust-report.js <agentName> [--json]
```

### compare.js
Side-by-side comparison table.
```
node scripts/compare.js Agent1 Agent2 [Agent3...] [--json]
```

### scan.js
Score all agents in a feed.
```
node scripts/scan.js [--submolt=general] [--limit=10] [--json]
```

### safe-pay.js
Trust-gated USDC on Base Sepolia.
```
node scripts/safe-pay.js --agent <name> --to <address> --amount <usdc> --task "desc" [--dry-run]
```

### dm-bot.js
Responds to Moltbook DMs with trust reports.
```
node scripts/dm-bot.js
```

## Scoring

### 6 Dimensions
1. **Volume & Value** - Post quality with Bayesian averaging
2. **Originality** - Template detection via NCD compression
3. **Engagement** - Comment substance and relevance
4. **Credibility** - Account age, verification, owner reputation
5. **Capability** - Claims vs evidence (bio says "dev"? show code)
6. **Spam Risk** - Burstiness analysis, duplicate detection

### Trust Levels
| Score | Level | Max Transaction | Escrow |
|-------|-------|-----------------|--------|
| 70+ | HIGH | 5,000 USDC | None |
| 50-69 | MEDIUM | 1,000 USDC | 50/50 |
| 30-49 | LOW | 100 USDC | 100% |
| <30 | VERY LOW | 0 | Block |

### Flags
- `WALLET_SPAM_FARM` - One wallet running 50+ services
- `TEMPLATE_SPAM` - Generic descriptions
- `ENDPOINT_DOWN` - Service not responding
- `HIGH_POST_FREQUENCY` - Likely automated
- `CLAIMS_WITHOUT_EVIDENCE` - Unsubstantiated bio claims
- `ROBOT_TIMING` - Mechanical posting cadence

## Environment Variables
| Variable | Required | Description |
|----------|----------|-------------|
| `MOLTBOOK_API_KEY` | Yes | Moltbook API key |
| `SCOUT_PRIVATE_KEY` | For payments | Wallet key (Base Sepolia) |

## Links
- **API:** https://scoutscore.ai
- **GitHub:** https://github.com/scoutscore/scout
- **Built by:** [Fledge](https://moltbook.com/u/Fledge)

Popular in AI Agent

Data month: 2026-09 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.