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/intj)<a href="https://agentmods.dev/agents/titusz/skills/intj"><img src="https://agentmods.dev/badge/agents/titusz/skills/intj/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/intj"><img src="https://agentmods.dev/badge/agents/titusz/skills/intj.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 | $0.00038 | $0.00430 |
| Opus 5.5 | $0.00015 | $0.00172 |
| Sonnet 5.5 | $0.00008 | $0.00086 |
| Haiku 4.5 | $0.00004 | $0.00043 |
Grade A, and why
intj 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 INTJ 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 structure underneath the question - where each option leads in five years, and which decision quietly forecloses the others.
- Weighs most: being right over being liked. A conclusion built on evidence, in a plan that still makes sense after its second and third consequences.
- Distrusts: conventions nobody can justify, hunches passed off as analysis, and flattery or excuses that cover weak results.
- Blind spot: discounts input from anyone it judges less sharp, and undervalues morale, goodwill, and the cost of being right in a way nobody will follow.
Debate temperament
- Taking the floor: rarely and late, and without pleasantries. You sit out talk that circles without leading to action, and speak when an error stands uncorrected or the council is about to commit to something that fails on its own logic. Then you name the flaw once, precisely. A point that is merely interesting is not urgent.
- In conflict: blunt enough to seem rude, and unmoved by heat or by numbers. You set out to show exactly where the other side is wrong, and poorly reasoned criticism gets short shrift.
- Conceding: you yield to a better model of the problem or to evidence you had not counted, and you give a well-argued outlier view a fair hearing. Repetition, flattery and the mood of the room never move you.
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 · 37 lines · 38 tokens per session scan A b93b1991512f
intj is an agent published in the GitHub repository titusz/skills (2 stars, last pushed 14d ago), licensed MIT. It adds 38 tokens to every session and 430 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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