Registry › Compare › Avoid Ai Writing vs Claude Mem

Avoid Ai Writing vs Claude Mem

Both are Grade A and 2.1 points apart, so choose on what you weigh most. Avoid Ai Writing leads on supply-chain integrity and transparency; Claude Mem leads on maintenance and adoption.

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 · #7 overall · #7 Agent Skills · coverage B (3/5)

Choose Avoid Ai Writing if supply-chain integrity and transparency matter most.

+2.1Transparency: OSSF Scorecard 7.1 against 4.6
+0.5Safety / Integrity: OSSF Scorecard 7.1 against 4.6

A Claude Mem 90.2

Persistent Context Across Sessions for Every Agent – Captures everything your agent does during sessions, compresses it with AI, and injects relevant context back into future sessions. Works with Claude Code, OpenClaw, Codex, Gemini, Hermes, Copilot, OpenCode + More

thedotmack/claude-mem · #4 overall · #4 Agent Skills · coverage B (3/5)

Choose Claude Mem if maintenance and adoption matter most.

+4.7Adoption: 35.5k weekly downloads against 2.6k
+0.8Maintenance: last push today, against 1d ago

Where they differ

18.3

Safety / IntegrityAvoid Ai Writing +0.5

17.8

14.5

TransparencyAvoid Ai Writing +2.1

12.4

19.2

MaintenanceClaude Mem +0.8

20.0

13.5

AdoptionClaude Mem +4.7

18.2

+4.6

Runtime calibrationAvoid Ai Writing +0.8

+3.8

1 dimension identical: Identity 18.0 · Full evidence table

An independent, evidence-based trust comparison of Avoid Ai Writing and Claude Mem, 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	Claude Memthedotmack/claude-mem
HVTrust score	88.1	90.2
Evidence grade	A	A
Coverage grade	B	B
Overall rank	#7	#4
Rank in Agent Skills	#7	#4
GitHub stars	5.5k	115.5k
Last updated	1d ago	today
Build provenance	Yes	Yes
OSSF Scorecard	7.1 / 10	4.6 / 10
License	MIT	Apache-2.0
Downloads	3k/wk	36k/wk
Trust dimensions (points earned)
Safety / integrity / 25	18.3	17.8
Identity & provenance / 18	18.0	18.0
Transparency / 17	14.5	12.4
Maintenance / 20	19.2	20.0
Adoption / 20	13.5	18.2
Runtime capability surface (full matrix)
MCP server	Implemented	Implemented
External providers	1 — Anthropic	1 — Anthropic
Requires API keys	No	No
Plugin surface	plugins	plugins
Provenance drift	Match	Match

Open in the live compare tool → Avoid Ai Writing profile Claude Mem 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 →