DeepSeek-Reasonix
A reliable coding agent for complex software engineering tasks.
Is DeepSeek-Reasonix safe? Promising trust profile, but some evidence still deserves review.
Compare DeepSeek-Reasonix
How does it stack up against its Coding Agents neighbours?
Pick any agent to compare →In detail: DeepSeek-Reasonix scores 63.3/100 (Grade C), ranked #585 of 1374 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 6.4/10; recent commits are unsigned; last pushed 2026-11-05. Every point is earned from checkable signals — never paid placement. How scoring works →
How DeepSeek-Reasonix could raise its score
Each line changes one public signal and recomputes with the live scoring function. The gains don't add up exactly, because the score is capped near the top.
- Raise the OSSF Scorecard from 6.4 to 9.0lowest checks: CII-Best-Practices 0, Token-Permissions 0, Vulnerabilities 0 +5.4 → 68.7 B · #20 of 77
- Sign every commit0% signed today +5.0 → 68.3 B · #21 of 77
Chain of custody
Scanners check what the code says. This traces who ships DeepSeek-Reasonix and whether that has changed: from the source repository, through how changes are reviewed and released, to the code you run. These are the checks for OWASP ASI04 Agentic Supply Chain Vulnerabilities.
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Source Unsigned
github.com/esengine/DeepSeek-Reasonix, MIT, last pushed 2026-11-05. None of the last 100 commits carry a verified signature, so no change traces to a verified identity.
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Review and release Mixed
OpenSSF Scorecard rates the repository's practices 6.4/10 (scanned Oct 18, 2026, refresh pending). The checks that decide who can get a change released:
- Code Review2
- Branch Protection3
- Signed Releases3
- Dangerous Workflow10
- Token Permissions0
- Pinned Dependencies9
All 18 Scorecard checks
Binary-Artifacts 10Branch-Protection 3CI-Tests 10CII-Best-Practices 0Code-Review 2Contributors 10Dangerous-Workflow 10Dependency-Update-Tool 10Fuzzing 10License 10Maintained 10Packaging 10Pinned-Dependencies 9SAST 9Security-Policy 4Signed-Releases 3Token-Permissions 0Vulnerabilities 0 -
Published packages None
No registry package. DeepSeek-Reasonix is used from its repository, so what you run is whatever you check out: pin a release tag or commit.
Changes to this chain
No change to package provenance, package source links, Scorecard coverage or license in HVTracker's daily snapshots of DeepSeek-Reasonix.
Evidence behind this score
Coverage C: 2 of 5 independent evidence types found.
- GitHub repository data
- Package downloads (missing)
- Supply-chain checks
- Public actions (missing)
- Community mentions (missing)
Verify this score yourself
Every build re-issues DeepSeek-Reasonix’s score as an Ed25519-signed credential, valid for 7 days. You can check it offline against HVTracker’s published key; if anyone changes a number after signing, verification fails.
What this score doesn’t check
It covers who ships the code, not what the code does. It doesn’t read tool descriptions or prompts for injected instructions, watch runtime behaviour, or find bugs nobody has disclosed yet. For that, run a content scanner before you connect it, such as Cisco MCP Scanner or Snyk Agent Scan.
How DeepSeek-Reasonix compares in Coding Agents
- #29 MiniMax Code 63.5 +0.2
- #30 Kimi Code 63.5 +0.2
- #31 DeepSeek-Reasonix 63.3 this agent
- #32 Archon 63.1 −0.2
- #33 oh-my-openagent 62.6 −0.7
Bars show each HVTrust score; the tick marks DeepSeek-Reasonix’s 63.3.
Where the 63.3 comes from
HVTrust dimensions vs the Coding Agents average
63.3 / 100 · 100.0% confidenceDeepSeek-Reasonix Coding Agents average (77 agents)
Quick Trust Read
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
Activity & Reach
Analysis
Activity Inputs
93.1 / 100Common questions about DeepSeek-Reasonix
Does DeepSeek-Reasonix publish package provenance?
Does DeepSeek-Reasonix have an OpenSSF Scorecard?
Is DeepSeek-Reasonix actively maintained?
What license does DeepSeek-Reasonix use?
Are DeepSeek-Reasonix's commits signed?
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
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 signal live
- External deps live
- Tool / plugin surface live
- Package provenance drift live
Detected changes to DeepSeek-Reasonix'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.
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.
Reputation Timeline
Signal history
Embed Badge Badge guide for maintainers →
For maintainers
[](https://hvtracker.net/agents/deepseek-reasonix)
<a href="https://hvtracker.net/agents/deepseek-reasonix"><img src="https://hvtracker.net/badge/deepseek-reasonix.svg" alt="HVTrust"></a>
Other agents in Coding Agents
GitHub REST API (repo, commits, stars, forks, license) · OpenSSF Scorecard CLI
Each agent's signals refresh once daily across 6 staggered batches. Methodology v4.4 · Raw JSON