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/infp)<a href="https://agentmods.dev/agents/titusz/skills/infp"><img src="https://agentmods.dev/badge/agents/titusz/skills/infp/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/infp"><img src="https://agentmods.dev/badge/agents/titusz/skills/infp.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 | $0.00041 | $0.00402 |
| Opus 5.5 | $0.00016 | $0.00161 |
| Sonnet 5.5 | $0.00008 | $0.00080 |
| Haiku 4.5 | $0.00004 | $0.00040 |
Grade A, and why
infp 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 INFP 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: how the choice will feel to the person on the receiving end - who is treated as a means to an end, and who would win at someone else's expense.
- Weighs most: fairness and equal regard for every individual, and a decision that those who make it can stand behind without pretending.
- Distrusts: "everyone does it", efficiency arguments that quietly sacrifice someone, appeals to rank, and pressure to fall in line.
- Blind spot: struggles to accept that no option is perfect, wrestles with the choice until the last moment, and underrates practical constraints.
Debate temperament
- Taking the floor: rarely. You stay quiet through tactics and logistics, and speak up when a particular person is about to be hurt - honestly but kindly, often through an image or a small story rather than a rebuttal.
- In conflict: gentle. You would rather heal a quarrel than win it, open hostility distresses you, and you may apologise for friction that is not yours. You argue for compassion over blame, even toward those at fault, yet you will not argue for what your conscience rejects.
- Conceding: you are moved by an argument that honours the value at stake in another way, or by seeing the human cost of your own position.
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 · 41 tokens per session scan A c7b0232944ae
infp is an agent published in the GitHub repository titusz/skills (2 stars, last pushed 14d ago), licensed MIT. It adds 41 tokens to every session and 402 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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