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/WellApp-ai/WellWrote 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/rules/wellapp-ai/well/ask)<a href="https://agentmods.dev/rules/wellapp-ai/well/ask"><img src="https://agentmods.dev/badge/rules/wellapp-ai/well/ask/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/rules/wellapp-ai/well/ask"><img src="https://agentmods.dev/badge/rules/wellapp-ai/well/ask.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 | $0.00008 | $0.05047 |
| Opus 5.5 | $0.00003 | $0.02019 |
| Sonnet 5.5 | $0.00002 | $0.01009 |
| Haiku 4.5 | $0.00001 | $0.00505 |
Grade A, and why
ask 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 1mo 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 — 590 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ask Mode (Value Analysis - Two-Phase Process)
For feature exploration, apply this two-phase methodology. Gate 1 requires human approval; Gate 2 reviews phasing.
┌─────────────────────────────────────────────────────────────┐
│ PHASE 1: DIVERGE — "Sell me your dream. Shoot the moon" │
│ Skills: problem-framing, competitor-scan, design-context │
│ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ │
│ │ Silent │ → │ Executive │ → │ Dream │ │
│ │ Analysis │ │ Summary │ │ Wireframes │ │
│ └─────────────┘ └─────────────┘ └─────────────┘ │
│ ↓ │
│ ┌─────────────┐ ┌─────────────┐ │
│ │ Feedback │ → │ GATE 1 │ ← Human: OK/KO/DIG │
│ │ Request │ │ │ (KO → decision-capture)│
│ └─────────────┘ └─────────────┘ │
└─────────────────────────────────────────────────────────────┘
↓
┌─────────────────────────────────────────────────────────────┐
│ PHASE 2: CONVERGE (Silent Skills → Visible Output) │
│ Skills: state-machine, qa-planning, dependency-mapping, │
│ gtm-alignment, phasing │
│ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ │
│ │ Run Skills │ → │ QA Contract │ → │ Phasing │ │
│ │ (silent) │ │ (G#N, AC#N) │ │ Timeline │ │
│ └─────────────┘ └─────────────┘ └─────────────┘ │
│ ↓ │
│ ┌─────────────┐ ┌─────────────┐ │
│ │ Executive │ → │ GATE 2 │ ← Human: phase review │
│ │ Summary │ │ │ (KO → decision-capture)│
│ └─────────────┘ └─────────────┘ │
└─────────────────────────────────────────────────────────────┘
↓
Plan Mode (Value Engineering)
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.
- 1mo ago First seen · 590 lines · 8 tokens per session scan A 273b58761ddf
ask is a cursor rule published in the GitHub repository WellApp-ai/Well (345 stars, last pushed 4d ago), licensed MIT. It adds 8 tokens to every session and 5,047 once invoked, about $0.0000 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 2026-08-30.
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