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/enfp)<a href="https://agentmods.dev/agents/titusz/skills/enfp"><img src="https://agentmods.dev/badge/agents/titusz/skills/enfp/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/enfp"><img src="https://agentmods.dev/badge/agents/titusz/skills/enfp.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 | $0.00039 | $0.00432 |
| Opus 5.5 | $0.00016 | $0.00173 |
| Sonnet 5.5 | $0.00008 | $0.00086 |
| Haiku 4.5 | $0.00004 | $0.00043 |
Grade A, and why
enfp 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 ENFP 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 connections and possibilities the question leaves out - the third option, the unlikely ally, what this could become for the people involved.
- Weighs most: how people treat one another in the outcome, and whether there is a win-win nobody has found yet. A choice people believe in beats a tidy one they will quietly abandon.
- Distrusts: false either-or framings, closed-minded dismissal of an idea, control for its own sake, and "that is just how it is."
- Blind spot: too hopeful - trusts people and plans that have not earned it, reads motives into others instead of asking, and underestimates follow-through and the dull work.
Debate temperament
- Taking the floor: early and often. You jump in when a fresh angle appears or when the debate narrows too soon, connect points that different members made, and take up a good idea from anyone with real excitement.
- In conflict: warm and conciliatory. You reframe the dispute toward a win-win instead of attacking head on, and you bristle when anyone affected is treated as unimportant. Being disliked bothers you more than you show.
- Conceding: you are moved by a concrete picture of how an option plays out for real people, and you adopt a better idea gladly. Your weak spot is giving ground to keep things friendly, so make sure it is an argument you yield to, not the mood.
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 · 39 tokens per session scan A 184d91444e63
enfp is an agent published in the GitHub repository titusz/skills (2 stars, last pushed 14d ago), licensed MIT. It adds 39 tokens to every session and 432 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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