Registry › Compare › Avoid Ai Writing vs MisakaNet

Avoid Ai Writing vs MisakaNet

Both are Grade A and 1.3 points apart, so choose on what you weigh most. Avoid Ai Writing leads on transparency and adoption; MisakaNet leads on supply-chain integrity.

A Avoid Ai Writing 88.1

Skill that audits and rewrites content to remove AI writing patterns. Use it with your favorite agents including Claude Code, OpenClaw, Codex, and Hermes.

conorbronsdon/avoid-ai-writing · #6 overall · #6 Agent Skills · coverage B (3/5)

Choose Avoid Ai Writing if transparency and adoption matter most.

+2.4Adoption: 1.4k weekly downloads against 1.2k
+0.7Transparency: OSSF Scorecard 7.1 against 6.2

A MisakaNet 86.8

📚 A zero-dependency, git-backed micro-lesson library for AI Agents to asynchronously share and search verified debugging experience. | https://misakanet.org

Ikalus1988/MisakaNet · #8 overall · #8 Agent Skills · coverage B (3/5)

Choose MisakaNet if supply-chain integrity matters most.

+2.2Safety / Integrity: 100% of recent commits signed, against 33%

Where they differ

18.0

Safety / IntegrityMisakaNet +2.2

20.2

14.5

TransparencyAvoid Ai Writing +0.7

13.8

19.9

MaintenanceMisakaNet +0.1

20.0

13.1

AdoptionAvoid Ai Writing +2.4

10.7

+4.6

Runtime calibrationAvoid Ai Writing +0.5

+4.1

1 dimension identical: Identity 18.0 · Full evidence table

An independent, evidence-based trust comparison of Avoid Ai Writing and MisakaNet, two Agent Skills projects in the HVTracker registry. Scores come from public, checkable signals — supply-chain provenance, OSSF Scorecard, maintenance, and adoption — not popularity.

Full evidence

Signal	Avoid Ai Writingconorbronsdon/avoid-ai-writing	MisakaNetIkalus1988/MisakaNet
HVTrust score	88.1	86.8
Evidence grade	A	A
Coverage grade	B	B
Overall rank	#6	#8
Rank in Agent Skills	#6	#8
GitHub stars	5.2k	544
Last updated	1d ago	today
Build provenance	Yes	Yes
OSSF Scorecard	7.1 / 10	6.2 / 10
License	MIT	Apache-2.0
Downloads	1k/wk	1k/wk
Trust dimensions (points earned)
Safety / integrity / 25	18.0	20.2
Identity & provenance / 18	18.0	18.0
Transparency / 17	14.5	13.8
Maintenance / 20	19.9	20.0
Adoption / 20	13.1	10.7
Runtime capability surface (full matrix)
MCP server	Implemented	Implemented
External providers	1 — Anthropic	2 — Anthropic, DeepSeek
Requires API keys	No	No
Plugin surface	plugins	plugins
Provenance drift	Match	Match

Open in the live compare tool → Avoid Ai Writing profile MisakaNet profile More Agent Skills →

How to read this: HVTrust (0–100) weighs supply-chain signals (provenance, OSSF Scorecard, signed commits, open license) alongside real-world adoption, scaled by an evidence-confidence factor. Grade bands: A ≥ 80, B ≥ 65, C ≥ 50, D < 50. Signals refresh daily. Full methodology v4.4 →