zeroshot

Your autonomous engineering team in a CLI. The agent loop produces senior-level code that you can actually trust in prod

Coding Agents JavaScript Grade D Listed MIT
25.7/100
Rank #423 of 468
Compare zeroshot

Thin or incomplete trust evidence. Review carefully before production use.

Open compare tool Suggest correction
Listing state
Listed
Evidence coverage
Grade D · 1/5 signals
Last push
2026-08-04 · 0d ago
Recent change
New

Is zeroshot safe? zeroshot scores 25.7/100 (Grade D), ranked #423 of 468 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; 97% of recent commits are signed; last pushed 2026-08-04. Every point is earned from checkable signals — never paid placement. How scoring works →

Ranked neighbours in Coding Agents

Quick Trust Read

What Would Improve It
Add or improve OSSF Scorecard coverage so safety checks are easier to verify.
Recent Changes
2026-08-03
Newly Listed
First tracked at rank #423
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.
77.7
Activity sub-score · out of 100
#52

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 2026-08-04 02:01 UTC · Repo last pushed today

Rank Trend

2026-08-03 2026-08-04

Activity & Reach

Stars
1.7k
Forks
147
Last Push
2026-08-04
today
Commits (4 wk)
72
Downloads (7d)
HN mentions (30d)
Open Issues
99
Rank Change
=
was #423

Analysis

HVTrust Dimensions vs Coding Agents

25.7 / 100 · 50.0% confidence

zeroshot Coding Agents average (59 agents)

Safety / Integrity50% OSSF Scorecard · 30% provenance · 20% signed commits
4.9 / 25
3.5 below avg 8.4
Identity / Provenance60% listing status · 40% build provenance
10.8 / 18
1.0 below avg 11.8
Transparency50% declared license · 50% OSSF Scorecard
8.5 / 17
2.9 below avg 11.4
Maintenance60% last-push freshness · 40% commit activity
19.4 / 20
4.6 above avg 14.8
AdoptionLog-scaled stars · package downloads
7.7 / 20
4.9 below avg 12.6

Activity Inputs

77.7 / 100
StarsRepository reach
19.4 / 30
FreshnessLast push recency
25.0 / 25
ActivityRecent commits
23.2 / 25
CommunityFork signal
10.1 / 20

Supply Chain Trust

Package Provenance
None
No package attestations found
OSSF Scorecard
Not available
Signed Commits
97%
of last 100 commits verified

Is zeroshot safe?

Public trust evidence for zeroshot 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 zeroshot publish package provenance?
No published build provenance is currently detected for zeroshot. This is common for open-source projects but means consumers cannot independently verify that the package on the registry matches the GitHub source.
Does zeroshot have an OpenSSF Scorecard?
No OpenSSF Scorecard data is currently published for zeroshot. 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 zeroshot actively maintained?
Actively maintained. The repository was pushed to within the last 1 day(s).
What license does zeroshot use?
zeroshot ships under MIT. A declared, OSI-approved license is one of the transparency signals HVTrust scores.
Are zeroshot's commits signed?
97% of the last 100 commits to zeroshot 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

Maintain zeroshot?

For maintainers

HVTrust scores zeroshot 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.

Reputation Timeline

Signal history
Listed 1
2026-08-03
Newly Listed
First tracked at rank #423

Embed Badge Badge guide for maintainers →

For maintainers
HVTrust 25.7 Grade D
Markdown:
[![HVTrust](https://hvtracker.net/badge/zeroshot.svg)](https://hvtracker.net/agents/zeroshot)
HTML:
<a href="https://hvtracker.net/agents/zeroshot"><img src="https://hvtracker.net/badge/zeroshot.svg" alt="HVTrust"></a>

Other agents in Coding Agents

Data sources
GitHub REST API (repo, commits, stars, forks, license)
Each agent's signals refresh once daily across 6 staggered batches. Methodology v4.2 · Raw JSON