updated 2026-08-12 05:02 UTC

Wisp Science

xuzhougeng/wisp-science

Open-source, local-first desktop AI research workbench for scientific computing with Python/R, MCP bioinformatics tools,

Research & Data HTML Grade D Listed AGPL-3.0
24.4/100
Rank #848 of 1283
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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 Wisp Science safe? Wisp Science scores 24.4/100 (Grade D), ranked #848 of 1283 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; 39% 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 Research & Data

#20 Agent Laboratory — 31.0 (D) → #21 MindSearch — 27.5 (D) → #23 llm-for-zotero — 23.9 (D) → #24 EvoScientist — 22.2 (D) →

Quick Trust Read

What Would Improve It
Add or improve OSSF Scorecard coverage so safety checks are easier to verify.
Recent Changes
2026-08-10
Newly Listed
First tracked at rank #845
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 Wisp Science View Research & Data Report missing data
77.9
Activity sub-score · out of 100
#22
In Research & Data

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
1.1k
Forks
107
Last Push
2026-08-12
today
Commits (4 wk)
1115
Downloads (7d)
—
HN mentions (30d)
—
Open Issues
4
Rank Change
▼2
was #846

Analysis

HVTrust Dimensions vs Research & Data

24.4 / 100 · 50.0% confidence

Wisp Science Research & Data average (31 agents)

Safety / Integrity50% OSSF Scorecard · 30% provenance · 20% signed commits
2.0 / 25
4.4 below avg 6.4
Identity / Provenance60% listing status · 40% build provenance
10.8 / 18
0.7 below avg 11.5
Transparency50% declared license · 50% OSSF Scorecard
8.5 / 17
2.5 below avg 11.0
Maintenance60% last-push freshness · 40% commit activity
20.0 / 20
7.6 above avg 12.4
AdoptionLog-scaled stars · package downloads
7.3 / 20
3.6 below avg 10.9

Activity Inputs

77.9 / 100
StarsRepository reach
18.4 / 30
FreshnessLast push recency
25.0 / 25
ActivityRecent commits
25 / 25
CommunityFork signal
9.5 / 20

Supply Chain Trust

Package Provenance
None
No package attestations found
OSSF Scorecard
—
Not available
Signed Commits
39%
of last 100 commits verified

Is Wisp Science safe?

Public trust evidence for Wisp Science 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 Wisp Science publish package provenance?
No published build provenance is currently detected for Wisp Science. This is common for open-source projects but means consumers cannot independently verify that the package on the registry matches the GitHub source.
Does Wisp Science have an OpenSSF Scorecard?
No OpenSSF Scorecard data is currently published for Wisp Science. 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 Wisp Science actively maintained?
Actively maintained. The repository was pushed to within the last 1 day(s).
What license does Wisp Science use?
Wisp Science ships under AGPL-3.0. A declared, OSI-approved license is one of the transparency signals HVTrust scores.
Are Wisp Science's commits signed?
39% of the last 100 commits to Wisp Science 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
high confidence
Implemented
Wisp Science appears to expose MCP server capabilities.
Detailed evidence is not shown in the public view.
External Service Dependencies
low confidence
None detected
No clear third-party provider dependency detected.
Credential signal: API keys or service config markers documented.
Tool / Plugin Surface
high confidence
Extensions
Extension based plugin/integration surface detected.
  • browser
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

Maintain Wisp Science?

For maintainers

HVTrust scores Wisp Science 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
2026-08-10
Newly Listed
First tracked at rank #845
GitHub →

Embed Badge Badge guide for maintainers →

For maintainers
HVTrust 24.4 Grade D
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Other agents in Research & Data

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