Is Linkedin Skills safe to use?

Linkedin Skills has an HVTrust score of 62.1/100 (Grade C), ranked #81 of 351 tracked AI agent projects. This score reflects verifiable supply-chain integrity, transparency, maintenance, and adoption signals.

What is the trust score for Linkedin Skills?

Linkedin Skills scores 62.1/100 on HVTracker's evidence-weighted HVTrust scale. It has 3.5k GitHub stars and is categorized under Agent Skills.

Linkedin Skills

sergebulaev/linkedin-skills

Claude skills for LinkedIn. 11 Claude Code and Codex skills that write human-sounding LinkedIn posts, craft comments that get noticed, analyze your feed, and build a publishing cadence, all from your terminal. Content engineering by Creative Content Crafts. MIT.

Agent Skills Python Listed MIT

Is Linkedin Skills safe? Promising trust profile, but some evidence still deserves review.

OSSF Scorecard 7.1 / 10

Provenance None

Signed commits 32%

Last push 3d ago

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In detail: Linkedin Skills scores 62.1/100 (Grade C), ranked #81 of 351 tracked open-source AI agent projects, on evidence coverage C (2 of 5 independent signal types). The public evidence: no package-provenance attestation found; OSSF Scorecard rates its supply-chain practices 7.1/10; 32% of recent commits are signed; last pushed 2026-09-23. Every point is earned from checkable signals — never paid placement. How scoring works →

How Linkedin Skills compares in Agent Skills

#79 VulnClaw 62.6 +0.5
#80 Claude Ads 62.3 +0.2
#81 Linkedin Skills 62.1 this agent
#82 OfficeCLI 62.0 −0.1
#83 Antigravity For Claude Code 61.5 −0.6

Bars show each HVTrust score; the tick marks Linkedin Skills’s 62.1.

Where the 62.1 comes from

HVTrust dimensions vs the Agent Skills average

62.1 / 100 · 100.0% confidence

Linkedin Skills Agent Skills average (351 agents)

Safety / Integrity50% OSSF Scorecard · 30% provenance · 20% signed commits

10.5 / 25

2.4 above avg 8.1

Identity / Provenance60% listing status · 40% build provenance

10.8 / 18

0.6 below avg 11.4

Transparency50% declared license · 50% OSSF Scorecard

14.5 / 17

2.3 above avg 12.2

Maintenance60% last-push freshness · 40% commit activity

19.1 / 20

4.9 above avg 14.2

AdoptionLog-scaled stars · package downloads

8.5 / 20

in line with avg 9.0

Quick Trust Read

What Would Improve It

Publish package provenance or release attestations for stronger supply-chain evidence.

Recent Changes

2026-09-23

Tool Surface Changed

Detected tool/plugin surface changed: none → declared

2026-09-23

Provider Added

Runtime surface grew — new detected provider dependency: Anthropic

2026-09-23

Rank Moved

Rank dropped 66 spots (#17 → #83)

Maintainer Checklist

Publish provenance Add package provenance or release attestations so users can verify where shipped artifacts came from.

Increase signed commits Raise the share of verified-signed commits to make maintainer identity and release history easier to trust.

Compare with another agent Get email alerts for Linkedin Skills View Agent Skills Report missing data

81.7

Activity sub-score · out of 100

#81

In Agent Skills

How to read this: HVTrust (0–100) weighs supply-chain signals (provenance, OSSF Scorecard, signed commits, open license) alongside real-world adoption. Grade C reflects the trust score band: A ≥ 80, B ≥ 65, C ≥ 50, D < 50. Evidence coverage C is separate — it grades how many independent signal types back the score (2 of 5), so a high score on thin evidence stays visible. Full methodology →

Rank Trend

2026-08-11 2026-09-26

Activity & Reach

Stars

3.5k

Forks

585

Last Push

2026-09-23

3 days ago

Commits (4 wk)

Downloads (7d)

—

HN mentions (30d)

—

Open Issues

Rank Change

▼1

was #80

Analysis

Activity Inputs

81.7 / 100

StarsRepository reach

21.3 / 30

FreshnessLast push recency

24.6 / 25

ActivityRecent commits

22.9 / 25

CommunityFork signal

12.9 / 20

Supply Chain Trust

Package Provenance

None

No package attestations found

OSSF Scorecard

7.1 / 10

OpenSSF Scorecard · scanned Sep 25, 2026

Signed Commits

32%

of last 100 commits verified

Binary-Artifacts 10

Branch-Protection 0

CI-Tests 8

CII-Best-Practices 0

Code-Review 2

Contributors 6

Dangerous-Workflow 10

Dependency-Update-Tool 10

Fuzzing 0

License 10

Maintained 10

Packaging -1

Pinned-Dependencies 5

SAST 8

Security-Policy 10

Signed-Releases -1

Token-Permissions 9

Vulnerabilities 10

Common questions about Linkedin Skills

Linkedin Skills has a mixed signal profile. Some trust indicators are present, others are missing. Whether it is safe for your use case depends on which gaps matter to you — review the breakdown below before adopting in production.

Does Linkedin Skills publish package provenance?

No published build provenance is currently detected for Linkedin Skills. This is common for open-source projects but means consumers cannot independently verify that the package on the registry matches the GitHub source.

Does Linkedin Skills have an OpenSSF Scorecard?

Linkedin Skills has an OpenSSF Scorecard score of 7.1/10. The Scorecard checks for branch protection, signed releases, dependency updates, fuzzing, code review, and other supply-chain hygiene items. See the full check breakdown on this page.

Is Linkedin Skills actively maintained?

Actively maintained. The repository was pushed to within the last 3 day(s).

What license does Linkedin Skills use?

Linkedin Skills ships under MIT. A declared, OSI-approved license is one of the transparency signals HVTrust scores.

Are Linkedin Skills's commits signed?

32% of the last 100 commits to Linkedin Skills are verified-signed (GPG, SSH, S/MIME, or GitHub's signing flow). Signed commits help confirm that code was authored by who the commit claims.

Not a safety endorsement. HVTracker describes what public signals show, not whether a project is safe for your use case. Run your own security review before adopting in production.

AI agent surface

MCP, providers, tool surface

Scored in HVTrust

These runtime-trust fields — detected from public repo docs and manifests — contribute a bounded adjustment to this project's HVTrust score alongside supply-chain evidence. The exact values each field can add or subtract are documented in the methodology → Compare this surface across every listed agent in the capability matrix →

MCP Server Support

None detected

No MCP server signal detected.

Detailed evidence is not shown in the public view.

External Service Dependencies

high confidence

1 detected

Public provider/service dependencies detected.

Anthropic

Credential signal: API keys or service config markers documented.

Tool / Plugin Surface

high confidence

Declared

Declared plugin/integration surface detected.

Detailed evidence is not shown in the public view.

Package Provenance Drift

N/A

No package source configured

Detailed evidence is not shown in the public view.

MCP signal live
External deps live
Tool / plugin surface live
Package provenance drift live

How this surface has changed

Detected changes to Linkedin Skills's runtime surface and supply-chain posture, from daily public-signal snapshots. A change here means our detectors see something different — a genuinely changed capability, or better evidence of an existing one.

2026-09-23

Tool Surface Changed

Detected tool/plugin surface changed: none → declared

2026-09-23

Provider Added

Runtime surface grew — new detected provider dependency: Anthropic

Maintain Linkedin Skills?

For maintainers

HVTrust scores Linkedin Skills from public signals only — we never contact maintainers first. If a signal is wrong, stale, or missing (provenance you publish, a Scorecard you run, signed releases), tell us and we'll review it. Corrections are public and tracked on GitHub.

Submit a correction → Add the trust badge

Reputation Timeline

Signal history

2026-09-23

Tool Surface Changed

Detected tool/plugin surface changed: none → declared

2026-09-23

Provider Added

Runtime surface grew — new detected provider dependency: Anthropic

2026-09-23

Rank Moved

Rank dropped 66 spots (#17 → #83)

2026-09-23

HVTrust Changed

HVTrust up 9.1pts (52.1 → 61.2)

2026-09-22

Newly Listed

First tracked at rank #17

2026-09-21

Removed From Active Tracking

Removed from active tracking

2026-09-11

Rank Moved

Rank dropped 10 spots (#81 → #91)

2026-08-29

Rank Moved

Rank dropped 11 spots (#46 → #57)

2026-08-28

Scorecard Added

OSSF Scorecard: 7.2/10

2026-08-28

Grade Changed

Trust grade D → C

2026-08-28

Rank Moved

Rank rose 190 spots (#236 → #46)

2026-08-28

HVTrust Changed

HVTrust up 36.7pts (20.4 → 57.1)

2026-08-26

Rank Moved

Rank dropped 109 spots (#120 → #229)

2026-08-20

Rank Moved

Rank rose 10 spots (#127 → #117)

2026-08-16

Rank Moved

Rank dropped 12 spots (#116 → #128)

2026-08-11

Newly Listed

First tracked at rank #108

GitHub →

Embed Badge Badge guide for maintainers →

For maintainers

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Other agents in Agent Skills

Data sources
GitHub REST API (repo, commits, stars, forks, license) · OpenSSF Scorecard CLI
Each agent's signals refresh once daily across 6 staggered batches. Methodology v4.3 · Raw JSON