Md2Wechat Skill
面向 AI Agent 的微信公众号创作与发布 CLI:Markdown 排版、AI 配图、预览与草稿创建;支持由浏览器 Agent 保存知乎、CSDN、头条未发布草稿。
Is Md2Wechat Skill safe? Promising trust profile, but some evidence still deserves review.
Compare Md2Wechat Skill
How does it stack up against its Agent Skills neighbours?
Pick any agent to compare →In detail: Md2Wechat Skill scores 59.0/100 (Grade C), ranked #113 of 351 tracked open-source AI agent projects, on evidence coverage B (3 of 5 independent signal types). The public evidence: no package-provenance attestation found; OSSF Scorecard rates its supply-chain practices 3.3/10; 7% of recent commits are signed; last pushed 2026-09-24. Every point is earned from checkable signals — never paid placement. How scoring works →
How Md2Wechat Skill compares in Agent Skills
- #111 Autoharness 59.3 +0.3
- #112 Builderio Skills 59.2 +0.2
- #113 Md2Wechat Skill 59.0 this agent
- #114 Hcom 58.9 −0.1
- #115 Claude BugHunter 58.8 −0.2
Bars show each HVTrust score; the tick marks Md2Wechat Skill’s 59.0.
Where the 59.0 comes from
HVTrust dimensions vs the Agent Skills average
59.0 / 100 · 100.0% confidenceMd2Wechat Skill Agent Skills average (351 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 B is separate — it grades how many independent signal types back the score (3 of 5), so a high score on thin evidence stays visible. Full methodology →
Rank Trend
Activity & Reach
Analysis
Activity Inputs
77.1 / 100Supply Chain Trust
Common questions about Md2Wechat Skill
Does Md2Wechat Skill publish package provenance?
Does Md2Wechat Skill have an OpenSSF Scorecard?
Is Md2Wechat Skill actively maintained?
What license does Md2Wechat Skill use?
Are Md2Wechat Skill'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 Md2Wechat Skill'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 Md2Wechat Skill?
For maintainers
HVTrust scores Md2Wechat Skill 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/md2wechat-skill)
<a href="https://hvtracker.net/agents/md2wechat-skill"><img src="https://hvtracker.net/badge/md2wechat-skill.svg" alt="HVTrust"></a>
Other agents in Agent Skills
GitHub REST API (repo, commits, stars, forks, license) · npm Registry (downloads, provenance) · OpenSSF Scorecard CLI
Each agent's signals refresh once daily across 6 staggered batches. Methodology v4.3 · Raw JSON