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 agentmods add skills/cdeust/cortex/cortex-explore-memorynpx skills add cdeust/Cortex --skill cortex-explore-memorygit clone --depth 1 https://github.com/cdeust/CortexWhat 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 | $0.00091 | $0.00683 |
| Opus 5 | $0.00046 | $0.00342 |
| Sonnet 5 | $0.00018 | $0.00137 |
| Haiku 4.5 | $0.00009 | $0.00068 |
Grade A, and why
cortex-explore-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 yesterday.
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 — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Explore Memory — Diagnostics, Gaps, and Coverage
Keywords
memory stats, diagnostics, coverage, gaps, what am I missing, memory health, knowledge gaps, weak areas, isolated entities, sparse domains, how much do I know, memory overview, system status, knowledge assessment
Overview
Understand the state of your memory system — what's stored, what's missing, what's decaying, and where knowledge is strong or weak. This skill combines multiple diagnostic tools to give you a complete picture.
Use this skill when: Starting a new project phase, after a long break, or when you want to understand what Cortex knows and doesn't know about a topic.
Workflow
Step 1: Quick Health Check
Get system-level diagnostics:
cortex:memory_stats({})
Returns: total memories, heat distribution, store type breakdown (episodic vs semantic), entity count, relationship count, average confidence, and decay statistics.
Step 2: Assess Knowledge Coverage
Score how well a topic or project is covered:
cortex:assess_coverage({
"domain": "<project or topic>",
"query": "<specific area to assess>"
})
Returns a 0-100 coverage score with specific recommendations on what to document or remember next.
Step 3: Detect Knowledge Gaps
Find isolated entities, sparse domains, and temporal drift:
cortex:detect_gaps({
"domain": "<optional domain filter>"
})
Returns:
- Isolated entities — entities mentioned but not connected to memories
- Sparse domains — project areas with few memories
- Temporal gaps — periods with no memory activity (potential knowledge loss)
- Orphan clusters — groups of memories disconnected from the main knowledge graph
Step 4: Validate Against Filesystem
Check if memories reference files/paths that still exist:
cortex:validate_memory({
"directory": "<project root>"
})
Flags stale memories that reference deleted files, moved modules, or renamed functions — keeping the knowledge base accurate.
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.
- yesterday First seen · 95 lines · 91 tokens per session scan A a03a2d050ab9
cortex-explore-memory is a skill published in the GitHub repository cdeust/Cortex (71 stars, last pushed 3d ago), licensed MIT. It adds 91 tokens to every session and 683 once invoked, about $0.0005 per session on Opus 5. 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 2026-08-30.
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