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-profilenpx skills add cdeust/Cortex --skill cortex-profilegit 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 | $0.00098 | $0.00814 |
| Opus 5 | $0.00049 | $0.00407 |
| Sonnet 5 | $0.00020 | $0.00163 |
| Haiku 4.5 | $0.00010 | $0.00081 |
Grade A, and why
cortex-profile 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 — 89 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Profile — Cognitive Profiling and Methodology
Keywords
profile, methodology, cognitive style, work patterns, blind spots, how do I work, thinking style, domains, rebuild profile, my patterns, session history, cognitive, behavioral, persona
Overview
Cortex builds a cognitive profile from your Claude Code session history — how you explore code, which tools you prefer, what patterns you repeat, where you have blind spots, and how your style connects across different project domains. This profile is used to calibrate responses and surface relevant context.
Use this skill when: Starting a session (auto-injected via hook), wanting to understand your work patterns, or needing to rebuild profiles after significant new work.
Workflow
Step 1: Load Current Profile
cortex:query_methodology({
"cwd": "<current working directory>",
"first_message": "<what the user is working on>"
})
Returns:
- Cognitive style — Felder-Silverman dimensions (active/reflective, sensing/intuitive, visual/verbal, sequential/global)
- Entry patterns — How you typically start work in this domain
- Recurring patterns — Behavioral patterns that repeat across sessions
- Blind spots — Categories, tools, or patterns you tend to miss
- Connection bridges — Cross-domain analogies and structural similarities
- Hot memories — Most relevant active memories for this context
- Fired triggers — Prospective memories activated by the current context
Step 2: Explore Behavioral Features
Dive deeper into your behavioral profile:
cortex:explore_features({ "mode": "persona" })
Returns your 12-dimensional persona vector: exploration depth, tool diversity, session persistence, abstraction level, error recovery, etc.
Other exploration modes:
"mode": "features"— What behavioral dictionary features activate for this domain"mode": "attribution"— How the pipeline traces decisions back to behavioral signals"mode": "crosscoder"— Behavioral patterns that persist across different project domains
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 · 89 lines · 98 tokens per session scan A ff41b32535bf
cortex-profile is a skill published in the GitHub repository cdeust/Cortex (71 stars, last pushed 3d ago), licensed MIT. It adds 98 tokens to every session and 814 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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