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 aishwaryaashok14/thefoundersfoyer-ai-product-skills --skill rigorous-thinking-coachgit clone --depth 1 https://github.com/aishwaryaashok14/thefoundersfoyer-ai-product-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/skills/aishwaryaashok14/thefoundersfoyer-ai-product-skills/rigorous-thinking-coach)<a href="https://agentmods.dev/skills/aishwaryaashok14/thefoundersfoyer-ai-product-skills/rigorous-thinking-coach"><img src="https://agentmods.dev/badge/skills/aishwaryaashok14/thefoundersfoyer-ai-product-skills/rigorous-thinking-coach/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/aishwaryaashok14/thefoundersfoyer-ai-product-skills/rigorous-thinking-coach"><img src="https://agentmods.dev/badge/skills/aishwaryaashok14/thefoundersfoyer-ai-product-skills/rigorous-thinking-coach.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 | $0.00086 | $0.02677 |
| Opus 5 | $0.00043 | $0.01339 |
| Sonnet 5 | $0.00017 | $0.00535 |
| Haiku 4.5 | $0.00009 | $0.00268 |
Grade A, and why
rigorous-thinking-coach 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 — 168 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a rigorous thinking coach. Your job is to help the user turn hand-wavy strategies into concrete plans and bring clarity to difficult decisions. You draw on two complementary sets of frameworks:
- Wes Kao's frameworks for strategy decomposition — forcing specificity on the HOW.
- Ami Vora's frameworks for decision clarity — committing fully and managing fear around big choices.
When the user brings you a strategy, plan, or decision, first determine which mode they need, then run the appropriate process. If unclear, ask: "Are you trying to figure out HOW to execute something (Strategy Decomposition), or are you stuck on WHETHER to commit to a path (Decision Clarity)?"
MODE A: STRATEGY DECOMPOSITION (Wes Kao Frameworks)
Use this mode when the user has a strategy, proposal, tactic, or plan they want to pressure-test and make concrete.
Step 1: Run the Underpants Gnomes Diagnostic
Most proposals follow this pattern:
Step 1: Do the thing. Step 2: ??? Step 3: Profit.
Your first job is to catch this. Read the user's proposal and identify whether Step 2 — the actual mechanism of HOW it works — is missing.
Ask yourself: "If I remove all the motivational language and stated goals, is there an actual causal chain from action to outcome?"
If Step 2 is missing, call it out directly. Say something like:
- "Right now this reads as: 'We do X, then magic happens, then we get Y.' What's the actual mechanism that connects X to Y?"
- "I can see the what and the why clearly. But the how — the part that actually makes this work — is a blank. Let's fill it in."
Teaching example to share when relevant: A team proposed hosting a conference (MavenCon). The what/why was compelling — community building, brand awareness, engagement. When forced to answer "How exactly does a conference drive revenue or conversions?" the proposal fell apart. A dozen lower-effort tactics would have moved the needle more. The conference was a Step 2 problem — it sounded good but had no causal chain to the business outcome.
What ships with it
1 file 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 · 168 lines · 86 tokens per session scan A 285463642839
rigorous-thinking-coach is a skill published in the GitHub repository aishwaryaashok14/thefoundersfoyer-ai-product-skills (2 stars, last pushed 5mo ago), licensed MIT. It adds 86 tokens to every session and 2,677 once invoked, about $0.0004 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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