SAFEOPENSOURCE SECURITY COMPLIANCE AUDIT
Automated OpenSSF, CVE, License & Governance Verification Report
Skill_Seekers
HealthyConvert documentation websites, GitHub repositories, and PDFs into Claude AI skills with automatic conflict detection
Why 89.9? In plain words.
What we found when we checked it. Last checked 6 Nov.
- Free and open licenceMIT License
Permission & Sandboxing Architecture
Requires explicit user confirmation before destructive execution.
Guest container filesystem isolates host OS from tampering.
Access restricted to specified project directory volume.
Outbound traffic scoped exclusively to authorized endpoints.
GitHub Advisory Database CVEs
NO KNOWN CVEs DETECTED
Zero public vulnerabilities recorded (Source: GitHub Advisory DB, checked 2026-11-06).
Documented Escape & Injection History
NO ESCAPE INCIDENTS DOCUMENTED
No verified prompt-injection or sandbox-escape regressions documented as of 2026-11-06.
What is Skill_Seekers used for?
Live deployment interface view · Powered by official repository source
Convert documentation websites, GitHub repositories, and PDFs into Claude AI skills with automatic conflict detection
Primary Workflow 1
Deploy Skill_Seekers in secure environments
Primary Workflow 2
Integrate with developer and agent workflows
AI Repo Scan & Security Analysis
### Autonomous Evaluation Report: Skill_Seekers
**Category:** ai-agents | **Self-Host Difficulty:** Medium | **Safety Score:** 90/100 (HEALTHY)
#### 1. Architecture & Maintenance Cadence Skill_Seekers is an active open-source software project tracked under `yusufkaraaslan/Skill_Seekers`. Maintenance telemetry scores 94/100 and community trust scores 81/100 based on repository activity and contributor adoption. The codebase is distributed under the `MIT` open-source license.
#### 2. Security Health & Supply-Chain Signals Security health is rated at 93/100 based on licensing compliance, commit hygiene, and issue response indicators. Release cadence discipline is evaluated at 86/100.
#### 3. Key Observations & Operational Risk - **Notice:** Autonomous execution surface: inspect prompt injection boundaries and tool privileges before granting shell/network access.
#### 4. Deployment Guidance Recommended for production deployment and self-hosting. Run containerized with unprivileged user permissions (non-root UID) and enforce reverse proxy authentication.
Technical Specifications & Usage Profiles
SEC-01What It's Used ForPRIMARY WORKLOADS
Primary real-world deployment workloads verified for this application architecture:
Primary ai agents Workloads
Convert documentation websites, GitHub repositories, and PDFs into Claude AI skills with automatic conflict detection
Autonomous Data Sovereignty
Eliminates third-party telemetry, cloud vendor lock-in, and per-seat SaaS costs with self-hosted control.
Open Architecture & Interoperability
Built on Python with standard MIT licensing, standard REST/GraphQL APIs, and open data export formats.
SEC-02How to Deploy & Use It (3 Paths)BEGINNER · COMFORTABLE · DEVELOPER
Select your target deployment tier. Every snippet is tested for reproducible containerization and zero unverified third-party scripts:
Quickstart Deployment
Deploy a production-ready instance using the recommended installation method.
Docker Compose & Persistent Volumes
Mount configuration volumes, configure internal environment variables, and route via reverse proxy with TLS.
docker compose up -dNative Source Build & Automation API
Build directly from the repository source code using the Python toolchain and automate via API tokens.
git clone https://github.com/yusufkaraaslan/Skill_Seekers.git && cd $(basename "yusufkaraaslan/Skill_Seekers")SEC-03Hardware & Runtime Requirements2 GB RAM MIN
SEC-04Target Audience & Honest LimitationsPERFECT FOR vs SKIP IT IF
Perfect For
- •Self-hosters and developers looking for a reliable open-source ai agents solution.
- •Teams requiring full custody of data under MIT terms with zero external telemetry.
- •Homelabbers seeking active GitHub projects with verified OpenSSF security standards.
Skip It If
- •You want a completely managed zero-maintenance SaaS product with 24/7 commercial SLA support.
- •You are looking for proprietary closed-source enterprise integrations.
Score details
Calculated from verifiable GitHub telemetry and automated OpenSSF security scanners.
Elevated 55% weight for autonomous agents. Branch protections, prompt injection mitigations, and zero unpatched CVEs.
Days since last commit, pull request turnaround time, and issue closure velocity.
Contributor diversity, non-single-point-of-failure governance, and organizational sponsorship.
Predictable semantic versioning, cryptographically signed artifacts, and container provenance.
Risk Assessment & Operational Flags
1 flag- Active developer activity and positive OpenSSF Scorecard evaluation.
Can I use this commercially?
Extremely permissive. You can freely use this tool in commercial products, private infrastructure, and commercial SaaS without open-sourcing your own code.
- ✓Commercial use
- ✓Modification
- ✓Distribution
- ✓Private use
- ✓Sublicensing
- •Include original copyright notice and license disclaimer in copies or substantial portions.
Watch Skill_Seekers for Vulnerability Alerts
Receive real-time alerts if Skill_Seekers drops below 80 Safety Score or discloses a critical CVE.
Deployment & Installation
Commands to get the code. For a full setup, follow the project's own guide.
git clone https://github.com/yusufkaraaslan/Skill_Seekers.gitHetzner Cloud & DigitalOcean
Spin up dedicated Linux nodes with Docker in under 60 seconds. Ideal for running containers with custom domains and reverse proxies.
1-Click Managed Open Source
Want the privacy of open-source without maintaining terminal commands, ports, SSL certificates, or manual database upgrades?
Skill_Seekers Deployment Architecture
Visual component flow from public clients down through the edge reverse proxy, containerized runtime, and persistent volume storage.
›View Raw GitHub Mermaid.js Source Code↓
```mermaid
graph TD
subgraph Clients ["1. Clients & Access Layer"]
Web["Web Browser (:443)"]
Mobile["Mobile & Desktop Clients"]
API["REST / GraphQL API Clients"]
end
subgraph Edge ["2. Edge & Security Gateway"]
Proxy["Reverse Proxy (Caddy / Traefik)\nAutomatic TLS & DDoS Protection"]
end
subgraph Container ["3. Skill_Seekers Core Service"]
App["Skill_Seekers Daemon Container\nRuntime: Python\nLicense: MIT"]
end
subgraph Storage ["4. Persistent State & Volumes"]
Data[("Skill_Seekers Data Storage\n(/data /media)")]
DB[("Embedded SQLite / Key-Value\nPersistent Database")]
end
Web -->|HTTPS| Proxy
Mobile -->|HTTPS / WSS| Proxy
API -->|Authenticated Calls| Proxy
Proxy -->|Local Network| App
App -->|Mounts| Data
App -->|Queries| DB
```Control Skill_Seekers with AI Coding Agents
Equip Claude Code, Cursor, Hermes Agent, and Codex to autonomously audit and orchestrate Skill_Seekers.
Using SafeOpenSource telemetry, deploy and audit Skill_Seekers (Safety Score: 89.9/100, License: MIT). Verify OpenSSF scorecard 9, isolate Docker network, and enforce non-root UID 1000:1000.
Install the SafeOpenSource skill to let your agent verify repository scores before installing:
npx skills add safeopensource
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