Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add automateyournetwork/netclaw --skill memorygit clone --depth 1 https://github.com/automateyournetwork/netclawWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/automateyournetwork/netclaw/memory)<a href="https://agentmods.dev/skills/automateyournetwork/netclaw/memory"><img src="https://agentmods.dev/badge/skills/automateyournetwork/netclaw/memory/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/automateyournetwork/netclaw/memory"><img src="https://agentmods.dev/badge/skills/automateyournetwork/netclaw/memory.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 3 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Rogue Agent · line 90 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
- medium MCP Rug Pull · line 109 uvx/uv tool run commands without ==version create a rug-pull risk.Fix: Pin the version: uvx package-name==1.2.3
- medium Data Exfiltration · line 114 Code scans file system directories looking for sensitive files. This could be reconnaissance for credential theft.Fix: Remove unnecessary filesystem scanning. If file access is needed, use explicit, scoped paths. Avoid reading ~/.ssh, ~/.aws, or credential directories.
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00000 | $0.00953 |
| Opus 5 | $0.00000 | $0.00477 |
| Sonnet 5 | $0.00000 | $0.00191 |
| Haiku 4.5 | $0.00000 | $0.00095 |
Grade A, and why
memory scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: Persistent Memory
Purpose: Provide persistent context across NetClaw sessions through structured facts, semantic search, and entity relationships.
Overview
The Memory skill enables NetClaw to remember information about your network across sessions. Instead of re-explaining your topology, device names, and past issues every time, NetClaw builds a memory that grows smarter with each interaction.
Memory vs. the RAG Knowledge Base: Memory (
memory_*tools,~/.openclaw/memory/) holds NetClaw's OWN experience — facts, session summaries, decisions, entity relationships. Document content lives in the separate RAG knowledge base (ragskill,rag_*tools,~/.openclaw/rag/). "Remember this PDF / URL / standard" routes torag_ingest, notmemory_record_fact; "what does the vendor guide say" routes torag_search, notmemory_recall. Operational facts ("PE2 is in maintenance until Friday"), past-session questions, and decision history stay here. Neither store writes into the other.
Capabilities
1. Structured Fact Storage
Store precise facts about network entities with temporal validity:
- Device states, configurations, IP addresses
- Maintenance windows, change history
- Performance baselines, thresholds
2. Semantic Recall
Search past sessions using natural language:
- "What was that BGP issue last month?"
- "Show me troubleshooting related to MTU"
- "Find sessions about PE2"
3. Decision Logging
Record operational decisions with rationale:
- Why a route was changed
- Why a device was quarantined
- Links to ServiceNow change requests
4. Entity Relationships
Track network topology and dependencies:
- PE2 peers_with RR1
- Service-X depends_on Device-Y
- Impact analysis for changes
MCP Tools
| Tool | Purpose |
|---|---|
memory_record_fact |
Store a fact with temporal validity |
memory_get_facts |
Query current facts for an entity |
memory_invalidate |
Mark a fact as no longer current |
memory_timeline |
Query historical facts |
memory_store_session |
Store session summary for semantic search |
memory_recall |
Semantic search across past sessions |
memory_record_decision |
Log a decision with rationale |
memory_get_decisions |
Query past decisions |
memory_link_entities |
Create relationship between entities |
memory_query_graph |
Query entity relationships |
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 121 lines · 0 tokens per session scan A 279b8e48c4ae
memory is a skill published in the GitHub repository automateyournetwork/netclaw (657 stars, last pushed 6d ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 953 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
Other skills, from other repositories
media-ingest
Ingest video, audio, PDF, book, screenshot, and GitHub repo content into the brain. Multi-format handling with entity extraction and backlink propagation. Covers video-ingest, youtube-ingest, and book-ingest subtypes.
mem0-oss-to-platform
Plan and then execute a migration of a project from the mem0 open-source / self-hosted SDK (the local Memory class) to the mem0 Platform / hosted / managed SDK (the MemoryClient class). Use this whenever a developer wants to move, switch, or migrate their mem0 usage off OSS/self-hosted to the hosted API — e.g.…
Cortex
Operate Cortex, the LifeOS memory system — the typed Knowledge Archive (People, Companies, Ideas, Research with typed related: links) plus recall of prior work sessions, ISAs, and conversations. Search, add, harvest, develop, ingest, distill, graph-navigate, recall. USE WHEN cortex, knowledge, knowledge base, search…
memory
Use when the user asks to remember, recall, forget, update, search, or inspect durable OpenSquilla memory, including profile facts in USER.md and long-term notes in MEMORY.md or memory//.md.
ha-data-stores
Map of Hope Agent's local data stores and safe read-only query workflow. Use when the user asks where Hope Agent stores data, wants to inspect sessions/messages/memory/logs/background jobs/knowledge indexes/settings, asks the model to query local app data, or debugging requires checking persisted state. Trigger…
establishing-project-context
Use when the user asks to establish shared project language, or project work exposes a conflicting, renamed, or deprecated domain term that needs active semantic modeling. Routine small tasks stay on the fast path.