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/ihabkhaled/ai-psychiatry/executive-functionnpx skills add ihabkhaled/AI-Psychiatry --skill executive-functiongit clone --depth 1 https://github.com/ihabkhaled/AI-PsychiatryWrote 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/ihabkhaled/ai-psychiatry/executive-function)<a href="https://agentmods.dev/skills/ihabkhaled/ai-psychiatry/executive-function"><img src="https://agentmods.dev/badge/skills/ihabkhaled/ai-psychiatry/executive-function.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00033 | $0.00263 |
| Opus 5 | $0.00016 | $0.00131 |
| Sonnet 5 | $0.00007 | $0.00053 |
| Haiku 4.5 | $0.00003 | $0.00026 |
Grade A, and why
executive-function 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 4d 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.
What it actually says
Executive Function
Core principle
Reasoning quality needs executive control: decide what deserves thought, how much, when to act, when to reset, and when to stop.
Procedure
- Load the locked objective and finite DoD.
- Keep one active work item and classify every new branch.
- Track observable depth, retries, critic rounds, evidence, and last meaningful progress.
- Choose the smallest action that changes state or proves a requirement.
- Trigger attention reset on drift and strategy reset on repeated failure.
- Run the completion gate when remaining required items reach zero.
Required output
Current state, selected controller, evidence, one next action, and either completion proof or an exact blocker.
Limits
WIP 1; nesting 3; same strategy 3; critics 2; delegation 2; stalled reset after 4 cycles.
Common mistakes
Do not turn the framework into verbose introspection or load every deep guide for ordinary work.
Stop condition
Stop control work when execution is advancing, a real blocker is reported, or DoD is proven.
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.
- 4d ago First seen · 37 lines · 33 tokens per session scan A 1a037ac435c8
executive-function is a skill published in the GitHub repository ihabkhaled/AI-Psychiatry (3 stars, last pushed 20d ago), licensed MIT. It adds 33 tokens to every session and 263 once invoked, about $0.0002 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 2026-08-31.
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