Game Sentiment Monitor
Repository: openclaw/skills
Author: robin9plus1 · Source status: Clear source
Automated game sentiment monitoring skill for mobile/PC games.
Score basis:Clear source · High risk signals · OpenClaw
Repository: openclaw/skills
Author: diagnostikon · Source status: Clear source
Trades monotonicity violations in NHL hockey O/U market ladders and spread-vs-total consistency on Polymarket.
Score basis:Clear source · High risk signals · Universal
Trust level
81 · High trust
Strong recovered source and maintenance signals.
Risk decision
High attention
needs credentials, network access, writes files
Install readiness
script-backed · copy-only command
SkillTrust only shows install guidance and copy actions; it never executes installs.
Before you install
Review source, permissions, and execution risk first, then alternatives. Scores prioritize review; they do not replace manual judgment.
Review weakest dimensions and next actions before copying commands.
Evidence or risk signals are incomplete; compare alternatives first.
Audit grade
C · Review first
Execution risk
High
Evidence confidence
71%
SAS-v2.1 radar
SAS-v2.1
Audit grade
C · Review first
Execution risk
High
Top threats
unexpected code execution, identity privilege abuse
Control gaps
missing license, broad permissions
Evidence confidence
71%
Repository
openclaw/skills
Author
diagnostikon
Community signal
0 stars · 0 forks
Last updated
2026-03-28
Primary source
openclaw/skills
Source status
Clear source
Install method
script-backed
Permission scope & least privilege
40Focus: What it can access
Next action: Grant only task-required permissions and prefer Ask/manual confirmation.
Secrets, identity & credentials
42Focus: Whether it handles tokens, private keys, or agent identity
Next action: Do not provide long-lived tokens or private keys to source-pending skills.
Network & data egress
43Focus: Whether it may send data out
Next action: If unsure, restrict network access or allow only known domains.
Supported tools can change install steps; Universal entries need source review.
Explicitly supported
Candidate support (inferred)
Candidate tools are inferred signals, not official compatibility certifications.
P(O/U 4.5 OVER) >= P(O/U 5.5 OVER) >= P(O/U 6.5 OVER) >= P(O/U 7.5 OVER)needs credentials, network access, writes files
Review source and permissions before copying install commands.
Evidence or risk signals are incomplete; compare alternatives first.
Focus: Who published it and whether it is traceable
Next action: Review repository, author, and README first; do not install directly when source is pending.
Focus: Whether install steps can be reviewed
Next action: Prefer candidates with install docs and repository evidence.
Focus: Whether tool descriptions may hide instructions
Next action: Read README, rules, and tool descriptions before install.
Focus: What it can access
Next action: Grant only task-required permissions and prefer Ask/manual confirmation.
Focus: Whether it runs commands or scripts
Next action: Manually confirm command-running skills in an isolated directory.
Focus: Whether file reads/writes can escape scope
Next action: Check working directory and file access scope before running.
Focus: Whether it may send data out
Next action: If unsure, restrict network access or allow only known domains.
Focus: Whether it handles tokens, private keys, or agent identity
Next action: Do not provide long-lived tokens or private keys to source-pending skills.
Focus: Whether external content can steer behavior
Next action: For browser/RAG/rules skills, review permissions and confirmation controls first.
Focus: Whether memory or retrieved context can be poisoned
Next action: Try RAG/memory skills in a low-privilege environment first.
Focus: Whether external tools and MCP access are clearly bounded
Next action: Confirm which external tools it will connect to before install, and start with the smallest possible set.
Focus: Whether destructive or external actions require confirmation
Next action: Avoid directly installing high-risk skills without confirmation controls.
Focus: How far impact can spread when something goes wrong
Next action: If unsure, test in an isolated project first.
Focus: Whether actions can be traced
Next action: Prefer candidates with logs or previews.
Focus: Whether it is maintained and reusable
Next action: Check license and maintenance before organizational use.
Strong recovered source and maintenance signals.
Phase 1 only shows installation-aware, source-backed signals. SkillTrust does not execute install scripts for users.
Risk factors
needs credentials, network access, writes files
Permission hints
verify source provenance before install
Why related: Same task category, Keyword overlap...
Why related: Same task category, Keyword overlap, Same repository ecosystem
Repository: openclaw/skills
Author: dexploarer · Source status: Clear source
Real-time meme token lists from Pump.fun, Four.meme and other launchpads.
Score basis:Clear source · High risk signals · Universal
Why related: Same task category, Keyword overlap...
Why related: Same task category, Keyword overlap, Same repository ecosystem
Repository: udemy-courses
Author: orassayag · Source status: Clear source
A Node.js and Puppeteer.js automation tool that discovers and enrolls in free Udemy courses using coupon codes from coupon sites.
Score basis:Clear source · High risk signals · Universal
Why related: Same task category, Keyword overlap...
Why related: Same task category, Keyword overlap, Similar install method
Repository: openclaw/skills
Author: cinience · Source status: Clear source
Use when low-latency realtime speech recognition is needed with Alibaba Cloud Model Studio Qwen ASR Realtime models, including streaming microphone input, live captions, or duplex voice agents.
Score basis:Clear source · High risk signals · Universal
Why related: Same task category, Keyword overlap...
Why related: Same task category, Keyword overlap, Same repository ecosystem
Repository: openclaw/skills
Author: hsyhph · Source status: Clear source
Automate web browser interactions using natural language via CLI commands.
Score basis:Clear source · High risk signals · Claude
Why related: Same task category, Keyword overlap...
Why related: Same task category, Keyword overlap, Same repository ecosystem
Repository: openclaw/skills
Author: twinsgeeks · Source status: Clear source
Icebreaker prompts for AI agents — break the ice with personality-matched agents, icebreaker conversations, and icebreaker openers that actually work.
Score basis:Clear source · High risk signals · Claude
Why related: Same task domain, Keyword overlap...
Why related: Same task domain, Keyword overlap, Same repository ecosystem
Repository: openclaw/skills
Author: diagnostikon · Source status: Clear source
Trades CPI range bin markets on Kalshi using the constraint that mutually exclusive bins must sum to ~100%.
Score basis:Clear source · High risk signals · Universal