Is Scientific Agent Skills safe to use?

Scientific Agent Skills has an HVTrust score of 60.0/100 (Grade C), ranked #103 of 351 tracked AI agent projects. This score reflects verifiable supply-chain integrity, transparency, maintenance, and adoption signals.

What is the trust score for Scientific Agent Skills?

Scientific Agent Skills scores 60.0/100 on HVTracker's evidence-weighted HVTrust scale. It has 46.7k GitHub stars and is categorized under Agent Skills.

Scientific Agent Skills

K-Dense-AI/scientific-agent-skills

Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 190,000+ scientists worldwide. 165 ready-to-use validated skills plus 100+ scientific databases covering biology, chemistry, medicine, and drug discovery. Compatible with Cursor, Claude Code, Codex, Pi…

Agent Skills Python Listed MIT

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

OSSF Scorecard 5.0 / 10

Provenance None

Signed commits 21%

Last push 5d ago

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In detail: Scientific Agent Skills scores 60.0/100 (Grade C), ranked #103 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 5.0/10; 21% of recent commits are signed; last pushed 2026-09-21. Every point is earned from checkable signals — never paid placement. How scoring works →

How Scientific Agent Skills compares in Agent Skills

#101 I Have Adhd 60.2 +0.2
#102 Mnemon 60.1 +0.1
#103 Scientific Agent Skills 60.0 this agent
#104 Claude Code Agent Monitor 59.8 −0.2
#105 Mattpocock Skills 59.8 −0.2

Bars show each HVTrust score; the tick marks Scientific Agent Skills’s 60.0.

Where the 60.0 comes from

HVTrust dimensions vs the Agent Skills average

60.0 / 100 · 100.0% confidence

Scientific Agent Skills Agent Skills average (351 agents)

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

7.3 / 25

0.8 below 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

12.8 / 17

0.6 above avg 12.2

Maintenance60% last-push freshness · 40% commit activity

17.9 / 20

3.7 above avg 14.2

AdoptionLog-scaled stars · package downloads

11.2 / 20

2.2 above avg 9.0

Quick Trust Read

What Would Improve It

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

Recent Changes

2026-09-25

Grade Changed

Trust grade D → C

2026-09-25

Rank Moved

Rank rose 196 spots (#299 → #103)

2026-09-25

HVTrust Changed

HVTrust up 20.1pts (39.9 → 60.0)

Maintainer Checklist

Raise Scorecard signals Current OSSF Scorecard is 5.0/10. Tighten the weakest checks to improve public safety evidence.

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 Scientific Agent Skills View Agent Skills Report missing data

88.7

Activity sub-score · out of 100

#103

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

46.7k

Forks

4.2k

Last Push

2026-09-21

5 days ago

Commits (4 wk)

Downloads (7d)

—

HN mentions (30d)

—

Open Issues

Rank Change

was #103

Analysis

Activity Inputs

88.7 / 100

StarsRepository reach

28.0 / 30

FreshnessLast push recency

24.3 / 25

ActivityRecent commits

19.4 / 25

CommunityFork signal

16.9 / 20

Supply Chain Trust

Package Provenance

None

No package attestations found

OSSF Scorecard

5.0 / 10

OpenSSF Scorecard · scanned Sep 25, 2026

Signed Commits

21%

of last 100 commits verified

Binary-Artifacts 10

Branch-Protection 0

CI-Tests 3

CII-Best-Practices 0

Code-Review 4

Contributors 10

Dangerous-Workflow 10

Dependency-Update-Tool 0

Fuzzing 0

License 10

Maintained 10

Packaging -1

Pinned-Dependencies 0

SAST 0

Security-Policy 10

Signed-Releases -1

Token-Permissions 0

Vulnerabilities 10

Common questions about Scientific Agent Skills

Scientific Agent 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 Scientific Agent Skills publish package provenance?

No published build provenance is currently detected for Scientific Agent 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 Scientific Agent Skills have an OpenSSF Scorecard?

Scientific Agent Skills has an OpenSSF Scorecard score of 5.0/10. 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 Scientific Agent Skills actively maintained?

Actively maintained. The repository was pushed to within the last 5 day(s).

What license does Scientific Agent Skills use?

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

Are Scientific Agent Skills's commits signed?

21% of the last 100 commits to Scientific Agent 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

None detected

No clear third-party provider dependency detected.

Credential signal: No explicit API-key/config marker detected.

Tool / Plugin Surface

None detected

No clear plugin system or broad tool 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 Scientific Agent 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.

2026-09-12

Provider Removed

Runtime surface shrank — no longer detected: Firecrawl

Maintain Scientific Agent Skills?

For maintainers

HVTrust scores Scientific Agent 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

2026-09-25

Grade Changed

Trust grade D → C

2026-09-25

Rank Moved

Rank rose 196 spots (#299 → #103)

2026-09-25

HVTrust Changed

HVTrust up 20.1pts (39.9 → 60.0)

2026-09-23

Rank Moved

Rank dropped 79 spots (#221 → #300)

2026-09-23

HVTrust Changed

HVTrust up 6.3pts (33.7 → 40.0)

2026-09-22

Newly Listed

First tracked at rank #221

2026-09-21

Removed From Active Tracking

Removed from active tracking

2026-09-12

Provider Removed

Runtime surface shrank — no longer detected: Firecrawl

2026-09-03

Rank Moved

Rank dropped 14 spots (#225 → #239)

2026-09-02

Rank Moved

Rank dropped 11 spots (#214 → #225)

2026-09-01

Rank Moved

Rank dropped 14 spots (#200 → #214)

2026-08-31

Rank Moved

Rank dropped 16 spots (#184 → #200)

2026-08-30

Rank Moved

Rank dropped 34 spots (#150 → #184)

2026-08-29

Rank Moved

Rank dropped 36 spots (#114 → #150)

2026-08-28

Rank Moved

Rank dropped 24 spots (#90 → #114)

2026-08-27

Rank Moved

Rank dropped 22 spots (#68 → #90)

2026-08-26

Scorecard Added

OSSF Scorecard: 4.7/10

2026-08-26

Rank Moved

Rank rose 60 spots (#128 → #68)

2026-08-26

HVTrust Changed

HVTrust up 19.8pts (19.9 → 39.7)

2026-08-16

Rank Moved

Rank dropped 13 spots (#109 → #122)

2026-08-11

Newly Listed

First tracked at rank #113

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