Instagram Hashtag Scraper
Repository: Instagram-Hashtag-Scraper
Author: youmeat6678 · Source status: Clear source
A Python project for scraping Instagram posts based on specific hashtags.
Score basis:Clear source · High risk signals · Universal
Compare skills
Pick 2–4 skills and compare what really matters: fit, risk, install effort, and community signal.
Selected skills (2/4)
Comparison matrix
Highlights show current best; tooltip explains diff/best rules.
SAS-v2.1 diff rules / risk tag notes
Start with the matrix. Open this section when you need to understand audit grades, top threats, control gaps, and best-value highlights.
Suggested baseline
Repository: Instagram-Hashtag-Scraper
Author: youmeat6678 · Source status: Clear source
A Python project for scraping Instagram posts based on specific hashtags.
Score basis:Clear source · High risk signals · Universal
Search to add skills, or paste 2–4 comma-separated slugs.
How differences are detected
A row is marked different when selected skills have distinct values. Only-differences mode hides rows that are identical.
How best values are highlighted
Audit score, evidence confidence, trust score, and community signal prefer higher values; execution risk and install friction prefer lower values.
How to read risk tags
Risk tags come from SAS-v2.1 public-evidence signals and point to command, network, secret, context, or supply-chain items to review before install.
Selected audit signals
mcp-perf-suite
Execution risk:High
Threat tags:unexpected code execution, data exfiltration, human approval gap
Control gaps:missing license, broad permissions, shell without guardrails
Icebreaker Openers. 破冰。Rompehielos.
Execution risk:High
Threat tags:prompt injection, tool poisoning, unexpected code execution
Control gaps:missing license, broad permissions, shell without guardrails
| Dimension | mcp-perf-suite | Icebreaker Openers. 破冰。Rompehielos. |
|---|---|---|
| SAS-v2.1 pre-install audit | ||
Audit grade | C · Review first | D · Limited evidence |
Execution risk | High | High |
Threat tags | unexpected code execution, data exfiltration, human approval gap | prompt injection, tool poisoning, unexpected code execution |
Control gaps | missing license, broad permissions, shell without guardrails | missing license, broad permissions, shell without guardrails |
Permission summary | Permission review, Network, Command | Permission review, Network, Secrets, Command |
Evidence confidence | 67% | 69% |
| Source & provenance | ||
Provenance | canyonlabz/mcp-perf-suite | openclaw/skills |
Category | Web & Automation | Integrations & Connectors |
Freshness | 2026-04-06 | 2026-04-01 |
| Risk & trust | ||
Trust score | 81 | 85 |
Audit signals | No explicit signals | needs credentials, network access, runs shell, writes files |
Permission hints | ||
| Install & compatibility | ||
Supported tools | Universal | Claude, OpenClaw |
Install method | script-backed | script-backed |
Install friction | 40 | |
| Community | ||
Stars | 3 | 0 |
Repository: UI-TARS-desktop
Author: bytedance · Source status: Clear source
The Open-Source Multimodal AI Agent Stack: Connecting Cutting-Edge AI Models and Agent Infra Topics: agent, agent-tars, browser-use, computer-use, cowork, gui-agent, gui-operator, mcp, mcp-server, multimodal, tars, ui-ta
Score basis:Clear source · Low risk signals · Universal
repository clone, local runtime dependencies |
verify source provenance before install |
65 |