Borrowing it
Nothing to install: this file belongs to hoangsonww/PetSwipe-Match-App. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/hoangsonww/PetSwipe-Match-App/master/.agents/skills/planner-and-insights-pages/SKILL.mdgit clone --depth 1 https://github.com/hoangsonww/PetSwipe-Match-AppWrote 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/hoangsonww/petswipe-match-app/planner-and-insights-pages)<a href="https://agentmods.dev/skills/hoangsonww/petswipe-match-app/planner-and-insights-pages"><img src="https://agentmods.dev/badge/skills/hoangsonww/petswipe-match-app/planner-and-insights-pages/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/hoangsonww/petswipe-match-app/planner-and-insights-pages"><img src="https://agentmods.dev/badge/skills/hoangsonww/petswipe-match-app/planner-and-insights-pages.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 | $0.00060 | $0.00240 |
| Opus 5 | $0.00030 | $0.00120 |
| Sonnet 5 | $0.00012 | $0.00048 |
| Haiku 4.5 | $0.00006 | $0.00024 |
Grade A, and why
planner-and-insights-pages 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.
What it actually says
Use this skill for the planner and insights product surfaces.
Workflow
- Start from the touched page and identify the data it derives from profile, swipes, likes, or pet records.
- Preserve decision-support value, not just layout.
- Check card density, pagination, gauge readability, chart overflow, and mobile responsiveness.
- Keep recommendation text useful and specific rather than decorative.
- If the work changes how these pages are described, update docs and screenshots references as needed.
Repo-Specific Guidance
frontend/pages/adoption-planner.tsxis a decision-support page, not a browse page.frontend/pages/insights.tsxis a swipe analytics dashboard with charts and recommendations.- Shared chart behavior still routes through
frontend/components/ui/chart.tsx.
Read references/planner-insights-checklist.md.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 23 lines · 60 tokens per session scan A 5a96d1fb5857
planner-and-insights-pages is a skill published in the GitHub repository hoangsonww/PetSwipe-Match-App (26 stars, last pushed 5d ago), licensed MIT. It adds 60 tokens to every session and 240 once invoked, about $0.0003 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 2026-08-30.
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