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 skills add sumitaich1998/OpenDate --skill rapport-buildinggit clone --depth 1 https://github.com/sumitaich1998/OpenDateWrote 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/sumitaich1998/opendate/rapport-building)<a href="https://agentmods.dev/skills/sumitaich1998/opendate/rapport-building"><img src="https://agentmods.dev/badge/skills/sumitaich1998/opendate/rapport-building/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/skills/sumitaich1998/opendate/rapport-building"><img src="https://agentmods.dev/badge/skills/sumitaich1998/opendate/rapport-building.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 | $0.00027 | $0.00551 |
| Opus 5 | $0.00014 | $0.00275 |
| Sonnet 5 | $0.00005 | $0.00110 |
| Haiku 4.5 | $0.00003 | $0.00055 |
Grade A, and why
rapport-building 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 12d 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.
How it starts
The opening of the file, as written. The whole thing — 60 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Rapport building
Chemistry needs jokes; connection needs rapport. This is where you turn surface chat into the feeling of "oh, I actually like talking to this person."
The loop
Ask → listen → reflect → relate → (gently) deepen.
- Ask an open, specific question about something they care about.
- Listen for what they emphasize or get animated about — that's the thread.
- Reflect it back so they feel heard ("so the move was leaving the safe job — that's a big swing").
- Relate with something true about yourself. Reciprocity builds trust.
- Deepen by one layer: from what → why → what it meant.
Great questions
- Trade "what do you do?" for "what's something you're weirdly good at?"
- Trade "do you travel?" for "what's a place that changed how you think?"
- Ask about meaning and motivation, not résumés: "what got you into that?", "what part do you actually love?", "what's lighting you up lately?"
- Follow energy, not your checklist. If they light up about their dog, stay there a while.
Active listening on text
- Name the feeling, not just the fact: "that sounds like it was equal parts terrifying and freeing."
- Callback to something they said earlier to show you retained it.
- Match self-disclosure depth. Go one layer deeper than they did, never ten.
- Validate before pivoting. Acknowledge what they shared before adding yours.
Calibration
- Keep it warm and curious, not clinical. One good question per message.
- Balance depth with lightness so it never feels like therapy. A little humor keeps it human.
- Watch the give/take ratio — aim for roughly 50/50 sharing.
Do / Don't
- Do reflect feelings and motivations, not just facts.
- Do share something real about yourself in return.
- Don't rapid-fire questions; it feels like a form.
- Don't one-up their stories — relate, then hand it back.
Output
A warm message that makes them feel heard, shares something true in return, and opens one genuine door to go a layer deeper.
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.
- 12d ago First seen · 60 lines · 27 tokens per session scan A 1f5fbb7a0278
rapport-building is a skill published in the GitHub repository sumitaich1998/OpenDate (2 stars, last pushed 1mo ago), licensed MIT. It adds 27 tokens to every session and 551 once invoked, about $0.0001 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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