Is memory-management safe to install?

SaferSkills independently audited memory-management (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.

CategoryWeightCategory scoreContribution

Securityprompt, exec, net, exfil, eval

35%

100

35.0 pts

Supply chainhash, typosquat, maintainer, lockfile

20%

100

20.0 pts

Maintenancestaleness, pinning, CI

15%

100

15.0 pts

TransparencySKILL.md, perms, README

15%

100

15.0 pts

Communityinstalls, verify, response

15%

100

15.0 pts

Findings & checks · 0 flagged

Securityscore 100 · 0 findings

✓—All security checks passedNo findings in this category for the latest scan.pass

Supply chainscore 100 · 0 findings

✓—All supply chain checks passedNo findings in this category for the latest scan.pass

Maintenancescore 100 · 0 findings

✓—All maintenance checks passedNo findings in this category for the latest scan.pass

Transparencyscore 100 · 0 findings

✓—All transparency checks passedNo findings in this category for the latest scan.pass

Communityscore 100 · 0 findings

✓—All community checks passedNo findings in this category for the latest scan.pass

The primary manifest — the file an agent reads to learn what this artifact does.

.agents/skills/memory-management/SKILL.md · 1 file

.agents/skills/memory-management/SKILL.md3.2 KB · Markdown

name: memory-management

description: >

AgentDB memory system with HNSW vector search. Provides 150x-12,500x faster pattern retrieval, persistent storage, and semantic search capabilities for learning and knowledge management.

Use when: need to store successful patterns, searching for similar solutions, semantic lookup of past work, learning from previous tasks, sharing knowledge between agents, building knowledge base.

Skip when: no learning needed, ephemeral one-off tasks, external data sources available, read-only exploration.

Memory Management Skill

Purpose

AgentDB memory system with HNSW vector search. Provides 150x-12,500x faster pattern retrieval, persistent storage, and semantic search capabilities for learning and knowledge management.

When to Trigger

need to store successful patterns
searching for similar solutions
semantic lookup of past work
learning from previous tasks
sharing knowledge between agents
building knowledge base

When to Skip

no learning needed
ephemeral one-off tasks
external data sources available
read-only exploration

Commands

Store Pattern

Store a pattern or knowledge item in memory

npx @claude-flow/cli memory store --key "[key]" --value "[value]" --namespace patterns

Example:

npx @claude-flow/cli memory store --key "auth-jwt-pattern" --value "JWT validation with refresh tokens" --namespace patterns

Semantic Search

Search memory using semantic similarity

npx @claude-flow/cli memory search --query "[search terms]" --limit 10

Example:

npx @claude-flow/cli memory search --query "authentication best practices" --limit 5

Retrieve Entry

Retrieve a specific memory entry by key

npx @claude-flow/cli memory get --key "[key]" --namespace [namespace]

Example:

npx @claude-flow/cli memory get --key "auth-jwt-pattern" --namespace patterns

List Entries

List all entries in a namespace

npx @claude-flow/cli memory list --namespace [namespace]

Example:

npx @claude-flow/cli memory list --namespace patterns --limit 20

Delete Entry

Delete a memory entry

npx @claude-flow/cli memory delete --key "[key]" --namespace [namespace]

Initialize HNSW Index

Initialize HNSW vector search index

npx @claude-flow/cli memory init --enable-hnsw

Memory Stats

Show memory usage statistics

npx @claude-flow/cli memory stats

Export Memory

Export memory to JSON

npx @claude-flow/cli memory export --output memory-backup.json

Scripts

Script	Path	Description
`memory-backup`	`.agents/scripts/memory-backup.sh`	Backup memory to external storage
`memory-consolidate`	`.agents/scripts/memory-consolidate.sh`	Consolidate and optimize memory

References

Document	Path	Description
`HNSW Guide`	`docs/hnsw.md`	HNSW vector search configuration
`Memory Schema`	`docs/memory-schema.md`	Memory namespace and schema reference

Best Practices

Check memory for existing patterns before starting
Use hierarchical topology for coordination
Store successful patterns after completion
Document any new learnings

memory-management— agent skill

Is memory-management safe to install?

Memory Management Skill

Purpose

When to Trigger

When to Skip

Commands

Store Pattern

Semantic Search

Retrieve Entry

List Entries

Delete Entry

Initialize HNSW Index

Memory Stats

Export Memory

Scripts

References

Best Practices

Audit the pieces. Scan the whole. Decide.