blades

Blades is a Go-based multimodal AI Agent framework.

Agent Frameworks Go Grade D Listed MIT
20.3/100
Rank #448 of 468
Compare blades

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
2026-08-03 · 1d ago
Recent change
New

Is blades safe? blades scores 20.3/100 (Grade D), ranked #448 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; 98% of recent commits are signed; last pushed 2026-08-03. Every point is earned from checkable signals — never paid placement. How scoring works →

Ranked neighbours in Agent Frameworks

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 #448
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.
51.7
Activity sub-score · out of 100
#95

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 02:30 UTC · Repo last pushed yesterday

Rank Trend

2026-08-03 2026-08-04

Activity & Reach

Stars
807
Forks
101
Last Push
2026-08-03
yesterday
Commits (4 wk)
0?
Downloads (7d)
HN mentions (30d)
Open Issues
13
Rank Change
=
was #448

Analysis

HVTrust Dimensions vs Agent Frameworks

20.3 / 100 · 50.0% confidence

blades Agent Frameworks average (103 agents)

Safety / Integrity50% OSSF Scorecard · 30% provenance · 20% signed commits
4.9 / 25
4.1 below avg 9.0
Identity / Provenance60% listing status · 40% build provenance
10.8 / 18
0.9 below avg 11.7
Transparency50% declared license · 50% OSSF Scorecard
8.5 / 17
3.5 below avg 12.0
Maintenance60% last-push freshness · 40% commit activity
11.9 / 20
2.7 below avg 14.6
AdoptionLog-scaled stars · package downloads
7.0 / 20
4.9 below avg 11.9

Activity Inputs

51.7 / 100
StarsRepository reach
17.4 / 30
FreshnessLast push recency
24.9 / 25
ActivityRecent commits
0.0 / 25
CommunityFork signal
9.3 / 20

Supply Chain Trust

Package Provenance
None
No package attestations found
OSSF Scorecard
Not available
Signed Commits
98%
of last 100 commits verified

Is blades safe?

Public trust evidence for blades 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 blades publish package provenance?
No published build provenance is currently detected for blades. This is common for open-source projects but means consumers cannot independently verify that the package on the registry matches the GitHub source.
Does blades have an OpenSSF Scorecard?
No OpenSSF Scorecard data is currently published for blades. 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 blades actively maintained?
Actively maintained. The repository was pushed to within the last 1 day(s).
What license does blades use?
blades ships under MIT. A declared, OSI-approved license is one of the transparency signals HVTrust scores.
Are blades's commits signed?
98% of the last 100 commits to blades 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
high confidence
1 detected
Public provider/service dependencies detected.
Credential signal: API keys or service config markers documented.
Tool / Plugin Surface
medium confidence
Declared
Declared plugin/integration 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 blades?

For maintainers

HVTrust scores blades 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 #448

Embed Badge Badge guide for maintainers →

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

Other agents in Agent Frameworks

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