Is Pcs Safe?
Pcs — Nerq Trust Score 48.2/100 (D grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-25
Pcs is a Rust crate with a Nerq Trust Score of 48.2/100 (D), based on 3 independent data dimensions. Last analyzed: 2026-03-25 Security: 90/100. Popularity: 0/100. Data sourced from crates.io registry, GitHub, NVD, and RustSec advisory database. Last updated: 2026-03-25. Machine-readable data (JSON).
Is Pcs safe?
Trust Score Breakdown — Pcs has a Nerq Trust Score of 48.2/100 (D). Measured across 2 independent trust signals (as of 2026-03-25).
What is Pcs's trust score?
Pcs has a Nerq Trust Score of 48.2/100, earning a D grade. This score is based on 2 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Pcs?
Pcs's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Pcs and who maintains it?
| Author | Unknown |
| Category | Rust Crates |
| Source | N/A |
Similar Crates by Trust Score
Safety Guide: Pcs
What is Pcs?
Pcs is a Rust crate — Provisioning Certification Service (PCS) data structures. Data structures related to the Intel Provisioning Certification Service. DCAP attestation requires handling of DCAP artifacts (e.g., PCK cert.
How to Verify Safety
Run cargo audit. Review on crates.io for activity.
You can also check the trust score via API: GET /v1/preflight?target=pcs
Key Safety Concerns for Rust crate
When evaluating any Rust crate, watch for: dependency vulnerabilities, unsafe code, maintenance status.
Measured Signals
Pcs has a Nerq Trust Score of 48/100 (D). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Pcs has a Trust Score of 48/100 (D).
- The score is a measured composite — it is not a suitability judgment. Evaluate the individual signals against your own requirements.
- Query the current measured values via the Nerq API.
Frequently Asked Questions
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Disclaimer: Nerq trust scores are automated measurements based on publicly available signals. They are not endorsements, verdicts, or guarantees of suitability. Always evaluate the signals against your own requirements.