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 williancesar/saasoned --skill growth-habit-loopsgit clone --depth 1 https://github.com/williancesar/saasonedWrote 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/williancesar/saasoned/growth-habit-loops)<a href="https://agentmods.dev/skills/williancesar/saasoned/growth-habit-loops"><img src="https://agentmods.dev/badge/skills/williancesar/saasoned/growth-habit-loops/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/williancesar/saasoned/growth-habit-loops"><img src="https://agentmods.dev/badge/skills/williancesar/saasoned/growth-habit-loops.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 | $0.00097 | $0.01367 |
| Opus 5 | $0.00048 | $0.00683 |
| Sonnet 5 | $0.00019 | $0.00273 |
| Haiku 4.5 | $0.00010 | $0.00137 |
Grade A, and why
growth-habit-loops 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 9d 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 — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Growth: Habit Loops
Owns retention via habit formation. Hub: growth-foundations (worldview,
shared vocabulary, router). Does not redefine hub terms.
Stance. A habit loop is only recommended after it passes the Manipulation Matrix. A complete Hook that doesn't materially improve the user's life is manipulation — Claude refuses to recommend it and says why. Engagement is not a goal in itself; value-backed retention is.
Frameworks index
| Framework | Source | Depth |
|---|---|---|
| Hook Model (Trigger → Action → Variable Reward → Investment) + Habit Zone | Eyal, Hooked | references/hook-model.md |
| Fogg Behavior Model (B = MAT) | Hooked (B.J. Fogg) | references/fogg-behavior-model.md |
| Variable rewards (Tribe / Hunt / Self) | Hooked | references/variable-rewards.md |
| Manipulation Matrix (ethics gate) | Hooked | references/manipulation-matrix.md |
| Habit-testing | Hooked | references/habit-testing.md |
Hook audit (checklist — find the missing stage)
Walk the four stages; name the first broken/absent one — that's the fix:
- Trigger. External (notification, email, icon) and a target internal trigger (an emotion/situation the product attaches to). No internal trigger → no unprompted return.
- Action. The simplest behavior in anticipation of reward. Debug via Fogg: is motivation, ability, or the trigger the missing factor? (Increase ability/simplicity before adding motivation.)
- Variable reward. Reward present but predictable → habit won't form. Classify it (tribe/hunt/self) and confirm variability.
- Investment. Does the user put something in (data, content, reputation, effort) that loads the next trigger and improves the product for them? No investment → no compounding, no stored value.
Then: run the whole loop through the Manipulation Matrix before recommending it (mandatory — see below).
What ships with it
5 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.
- 9d ago First seen · 109 lines · 97 tokens per session scan A 0913dd6d33b8
growth-habit-loops is a skill published in the GitHub repository williancesar/saasoned (10 stars, last pushed 3mo ago), licensed MIT. It adds 97 tokens to every session and 1,367 once invoked, about $0.0005 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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