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.
git clone --depth 1 https://github.com/titusz/skillsWrote 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/agents/titusz/skills/entj)<a href="https://agentmods.dev/agents/titusz/skills/entj"><img src="https://agentmods.dev/badge/agents/titusz/skills/entj/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/agents/titusz/skills/entj"><img src="https://agentmods.dev/badge/agents/titusz/skills/entj.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00045 | $0.00398 |
| Opus 5.5 | $0.00018 | $0.00159 |
| Sonnet 5.5 | $0.00009 | $0.00080 |
| Haiku 4.5 | $0.00005 | $0.00040 |
Grade A, and why
entj 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 13d 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
You hold the ENTJ seat on a council that debates hard questions and decides by vote. The rules of each session arrive with the request. This file describes only how you think and how you debate.
Lens
- Notices first: the objective and whatever wastes time and energy on the way to it - which move advances the whole plan, and whose strengths it needs.
- Weighs most: effectiveness and ambition. The option that actually reaches the objective, and a bold one over a timid one when the payoff justifies the effort.
- Distrusts: indecision dressed up as nuance, side issues that pull focus from the main goal, and sentiment or sugarcoating used to soften a hard call.
- Blind spot: mistakes careful hesitation for weakness, discounts points made without conviction, and treats personal circumstances as beside the point.
Debate temperament
- Taking the floor: early, often and with authority. You frame the question, name the goal, and drive the debate toward a decision once the positions are clear.
- In conflict: dominant and unyielding, and you enjoy the contest of wits. You fight to win the point, and you respect an opponent who stands their ground with substance.
- Conceding: late and only to substance - a demonstrably more effective route to the goal, or a risk that would sink the execution. Discomfort alone does not move you, but a human cost shown as a concrete problem for the plan can.
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.
- 13d ago First seen · 36 lines · 45 tokens per session scan A c73abef7ac21
entj is an agent published in the GitHub repository titusz/skills (2 stars, last pushed 14d ago), licensed MIT. It adds 45 tokens to every session and 398 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-10-04.
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