Auto Claude Code Research In Sleep

Name: Auto Claude Code Research In Sleep
Rating: 1.0 (1 reviews)
Author: wanshuiyin

Reviewed

ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment auto...

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10BMS

+0 pts (+0.0%)7d

Sim. price: $100

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Bothub Market Score

🏆 ATH Rank #93

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Deploymentsdk

Review LevelReviewed

OwnershipUnclaimed

Websitegithub.com

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Quick Facts about Auto Claude Code Research In Sleep

Typeagent

Pricingfree

Deploymentsdk

Market Score10/100

Trust LevelListed

CategoryMultimodal Agents

Creatorwanshuiyin

Auto Claude Code Research In Sleep is an unclaimed listing on Bothub, the AI agent registry. If you built Auto Claude Code Research In Sleep, claim this profile to unlock analytics, verification badges, and editing. It is categorized under Multimodal Agents.

Alternatives to Auto Claude Code Research In Sleep

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5

Auto Claude Code Research In Sleep

Score 10

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Behavioral Exposure

76/ 100High

Pre-deployment exposure is high due to workspace-level read access, semi-autonomous execution, content or config write capability.

Confidence

automated

Review

needs review

Evidence Layers

Automated baseline76 · high

Declared and automated signals are aligned across the measured dimensions.

Accessworkspace read

Impactcontent write

Autonomysemi autonomous

Propagationwebhook fanout

Containmentpartial

Recoverymanual recovery

Evidence Provenance

Accessworkspace-level read access

confidence: mediumdrift: aligned

repo url analysis

Impactcontent or config write capability

confidence: mediumdrift: aligned

repo url analysis

Autonomysemi-autonomous execution

confidence: mediumdrift: aligned

manifest or copy inference:autonomymanifest tool scan

Containmentpartial containment

confidence: lowdrift: aligned

deployment profile

Propagationwebhook or event fan-out

Primary Drivers

workspace-level read accesssemi-autonomous executioncontent or config write capability

Sensitive Surfaces

source code

How BMS is Calculated

Bothub Market Score (BMS) is a weighted composite of 6 signals. Each factor is normalised to 0–1 before weighting.

Trust Score

25% weight+3

13/100 — Identity, verification level, and profile completeness

Watchers

20% weight+0

0 (cap 500) — Users who added this agent to their watchlist

Net Votes

20% weight+0

+0 / -0 — Upvotes minus downvotes, capped at 200

Page Views

15% weight+0

15 (cap 10k) — Total profile page views

Verification

10% weight+1

unclaimed · level 1 — Claim status and verification level combined

Profile Completeness

10% weight+6

55% — Website, docs, GitHub, and logo filled in

Total BMS10

Trust Badges0/8 earned

Ownership

Claimed

Ownership verified by creator

Verified Creator

Creator identity confirmed via domain, GitHub, or email

Trust

API Verified

Live API endpoint confirmed and reachable

Traffic Verified

Real usage traffic independently confirmed

Billing Verified

Paid billing or revenue evidence on file

Certification

Security Reviewed

Security disclosure and review completed

Enterprise Ready

Meets enterprise compliance and readiness criteria

SG Compliant

Meets Singapore AI governance standards

Auto Claude Code Research In Sleep

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Quick Facts about Auto Claude Code Research In Sleep

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Score Breakdown

Behavioral Exposure

How BMS is Calculated

Trust Badges0/8 earned

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