updated 2026-08-12 05:02 UTC

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 170,000+ scientists worldwide.

Agent Skills Python Grade D Listed MIT
20.3/100
Rank #112 of 148
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Thin or incomplete trust evidence. Review carefully before production use.

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Listing state
Listed
Evidence coverage
Grade D · 1/5 signals
Last push
2026-08-12 · 0d ago
Recent change
New

Is Scientific Agent Skills safe? Scientific Agent Skills scores 20.3/100 (Grade D), ranked #112 of 148 tracked open-source AI agent projects, on evidence coverage D (1 of 5 independent signal types). The public evidence: no package-provenance attestation found; no OSSF Scorecard result yet; 10% of recent commits are signed; last pushed 2026-08-12. Every point is earned from checkable signals — never paid placement. How scoring works →

Ranked neighbours in Agent Skills

#110 Claude Code My Workflow — 20.3 (D) → #111 Nanoclaw — 20.3 (D) → #113 Claude Octopus — 20.2 (D) → #114 Aws Agent Skills — 20.1 (D) →

Quick Trust Read

What Would Improve It
Add or improve OSSF Scorecard coverage so safety checks are easier to verify.
Recent Changes
2026-08-11
Newly Listed
First tracked at rank #113
Maintainer Checklist
Add Scorecard coverage Expose the repository to OpenSSF Scorecard checks so supply-chain posture is easier to verify.
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
93.4
Activity sub-score · out of 100
#112
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 D reflects the trust score band: A ≥ 80, B ≥ 65, C ≥ 50, D < 50. Evidence coverage D is separate — it grades how many independent signal types back the score (1 of 5), so a high score on thin evidence stays visible. Full methodology →

Signals refreshed 2026-08-12 05:02 UTC · Repo last pushed today

Rank Trend

2026-08-11 2026-08-12

Activity & Reach

Stars
33.3k
Forks
3.3k
Last Push
2026-08-12
today
Commits (4 wk)
130
Downloads (7d)
—
HN mentions (30d)
—
Open Issues
2
Rank Change
▲1
was #113

Analysis

HVTrust Dimensions vs Agent Skills

20.3 / 100 · 40.0% confidence

Scientific Agent Skills Agent Skills average (148 agents)

Safety / Integrity50% OSSF Scorecard · 30% provenance · 20% signed commits
0.5 / 25
2.2 below avg 2.7
Identity / Provenance60% listing status · 40% build provenance
10.8 / 18
0.5 below avg 11.3
Transparency50% declared license · 50% OSSF Scorecard
8.5 / 17
in line with avg 8.5
Maintenance60% last-push freshness · 40% commit activity
20.0 / 20
4.9 above avg 15.1
AdoptionLog-scaled stars · package downloads
10.9 / 20
1.7 above avg 9.2

Activity Inputs

93.4 / 100
StarsRepository reach
27.1 / 30
FreshnessLast push recency
25.0 / 25
ActivityRecent commits
25 / 25
CommunityFork signal
16.3 / 20

Supply Chain Trust

Package Provenance
None
No package attestations found
OSSF Scorecard
—
Not available
Signed Commits
10%
of last 100 commits verified

Is Scientific Agent Skills safe?

Public trust evidence for Scientific Agent Skills is thin: several supply-chain signals are missing or weak. This does not mean the project is unsafe — it means an outside observer cannot easily verify the usual integrity checks. Treat with extra scrutiny.
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?
No OpenSSF Scorecard data is currently published for Scientific Agent Skills. Maintainers can enable the Scorecard GitHub Action to get a public score; without it, automated supply-chain hygiene is harder for outsiders to verify.
Is Scientific Agent Skills actively maintained?
Actively maintained. The repository was pushed to within the last 1 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?
10% 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
medium confidence
1 detected
Public provider/service dependencies 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
low confidence
Unknown
Package source metadata is missing or inconclusive
Detailed evidence is not shown in the public view.
  • MCP signal live
  • External deps live
  • Tool / plugin surface live
  • Package provenance drift live

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
Listed 1
2026-08-11
Newly Listed
First tracked at rank #113
GitHub → PyPI: scientific-agent-skills

Embed Badge Badge guide for maintainers →

For maintainers
HVTrust 20.3 Grade D
Markdown:
[![HVTrust](https://hvtracker.net/badge/scientific-agent-skills.svg)](https://hvtracker.net/agents/scientific-agent-skills)
HTML:
<a href="https://hvtracker.net/agents/scientific-agent-skills"><img src="https://hvtracker.net/badge/scientific-agent-skills.svg" alt="HVTrust"></a>

Other agents in Agent Skills

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