Is DeepSeek-Reasonix safe to use?

DeepSeek-Reasonix has an HVTrust score of 60.4/100 (Grade C), ranked #217 of 468 tracked AI agent projects. This score reflects verifiable supply-chain integrity, transparency, maintenance, and adoption signals.

What is the trust score for DeepSeek-Reasonix?

DeepSeek-Reasonix scores 60.4/100 on HVTracker's evidence-weighted HVTrust scale. It has 31.8k GitHub stars and is categorized under Coding Agents.

DeepSeek-Reasonix

esengine/DeepSeek-Reasonix

DeepSeek-native AI coding agent for your terminal. Engineered around prefix-cache stability — leave it running.

Coding Agents Go Grade C Listed MIT

60.4/100

Rank #217 of 468

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Promising trust profile, but some evidence still deserves review.

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Listing state

Listed

Evidence coverage

Grade C · 2/5 signals

Last push

2026-08-06 · 0d ago

Recent change

Rank +1

Is DeepSeek-Reasonix safe? DeepSeek-Reasonix scores 60.4/100 (Grade C), ranked #217 of 468 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 5.1/10; 31% of recent commits are signed; last pushed 2026-08-06. Every point is earned from checkable signals — never paid placement. How scoring works →

Ranked neighbours in Coding Agents

#21 Archon — 61.6 (C) → #22 Kilo Code — 61.1 (C) → #24 Potpie — 59.6 (C) → #25 Stagewise — 59.3 (C) →

Quick Trust Read

What Would Improve It

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

Recent Changes

2026-08-02

Rank Moved

Rank dropped 16 spots (#199 → #215)

2026-07-31

Rank Moved

Rank rose 14 spots (#214 → #200)

2026-07-25

Rank Moved

Rank rose 12 spots (#220 → #208)

Maintainer Checklist

Raise Scorecard signals Current OSSF Scorecard is 5.1/10. 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.

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92.4

Activity sub-score · out of 100

#23

In Coding Agents

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

2026-07-05 2026-08-06

Activity & Reach

Stars

31.8k

Forks

2.0k

Last Push

2026-08-06

today

Commits (4 wk)

1712

Downloads (7d)

—

HN mentions (30d)

—

Open Issues

589

Rank Change

was #217

Analysis

HVTrust Dimensions vs Coding Agents

60.4 / 100 · 100.0% confidence

DeepSeek-Reasonix Coding Agents average (59 agents)

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

7.9 / 25

in line with avg 8.3

Identity / Provenance60% listing status · 40% build provenance

10.8 / 18

1.0 below avg 11.8

Transparency50% declared license · 50% OSSF Scorecard

12.8 / 17

1.5 above avg 11.3

Maintenance60% last-push freshness · 40% commit activity

20.0 / 20

5.3 above avg 14.7

AdoptionLog-scaled stars · package downloads

10.8 / 20

1.8 below avg 12.6

Activity Inputs

92.4 / 100

StarsRepository reach

27.0 / 30

FreshnessLast push recency

25.0 / 25

ActivityRecent commits

25 / 25

CommunityFork signal

15.4 / 20

Supply Chain Trust

Package Provenance

None

No package attestations found

OSSF Scorecard

5.1 / 10

OpenSSF Scorecard · scanned Aug 5, 2026

Signed Commits

31%

of last 100 commits verified

Binary-Artifacts 7

Branch-Protection 1

CI-Tests 10

CII-Best-Practices 0

Code-Review 1

Contributors 6

Dangerous-Workflow 0

Dependency-Update-Tool 10

Fuzzing 10

License 10

Maintained 10

Packaging 10

Pinned-Dependencies 1

SAST 9

Security-Policy 4

Signed-Releases 3

Token-Permissions 0

Vulnerabilities 8

Is DeepSeek-Reasonix safe?

DeepSeek-Reasonix 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 DeepSeek-Reasonix publish package provenance?

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

Does DeepSeek-Reasonix have an OpenSSF Scorecard?

DeepSeek-Reasonix has an OpenSSF Scorecard score of 5.1/10. 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 DeepSeek-Reasonix actively maintained?

Actively maintained. The repository was pushed to within the last 1 day(s).

What license does DeepSeek-Reasonix use?

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

Are DeepSeek-Reasonix's commits signed?

31% of the last 100 commits to DeepSeek-Reasonix 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.

OpenAI

Credential signal: API keys or service config markers documented.

Tool / Plugin Surface

high confidence

Declared

Declared plugin/integration surface detected.

code
shell

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 DeepSeek-Reasonix?

For maintainers

HVTrust scores DeepSeek-Reasonix 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

2026-08-02

Rank Moved

Rank dropped 16 spots (#199 → #215)

2026-07-31

Rank Moved

Rank rose 14 spots (#214 → #200)

2026-07-25

Rank Moved

Rank rose 12 spots (#220 → #208)

2026-07-20

Rank Moved

Rank rose 18 spots (#226 → #208)

2026-07-15

Rank Moved

Rank dropped 13 spots (#220 → #233)

2026-07-14

Rank Moved

Rank dropped 21 spots (#199 → #220)

2026-07-13

Rank Moved

Rank dropped 26 spots (#173 → #199)

2026-06-24

Rank Moved

Rank dropped 10 spots (#159 → #169)

2026-06-23

Rank Moved

Rank dropped 12 spots (#147 → #159)

2026-06-22

Scorecard Added

OSSF Scorecard: 4.5/10

2026-06-22

Grade Changed

Trust grade D → C

2026-06-22

Rank Moved

Rank rose 108 spots (#255 → #147)

2026-06-22

HVTrust Changed

HVTrust up 35.1pts (25.6 → 60.7)

2026-06-21

Rank Moved

Rank dropped 16 spots (#239 → #255)

2026-06-20

Newly Listed

First tracked at rank #239

GitHub →

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For maintainers

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Other agents in Coding Agents

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 v4.2 · Raw JSON