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 magnus919/agent-skills --skill product-adoptiongit clone --depth 1 https://github.com/magnus919/agent-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/magnus919/agent-skills/product-adoption)<a href="https://agentmods.dev/skills/magnus919/agent-skills/product-adoption"><img src="https://agentmods.dev/badge/skills/magnus919/agent-skills/product-adoption/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/magnus919/agent-skills/product-adoption"><img src="https://agentmods.dev/badge/skills/magnus919/agent-skills/product-adoption.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00114 | $0.01483 |
| Opus 5.5 | $0.00046 | $0.00593 |
| Sonnet 5.5 | $0.00023 | $0.00297 |
| Haiku 4.5 | $0.00011 | $0.00148 |
Grade A, and why
product-adoption 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 — 111 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Product Adoption
Move people from aware to active, from active to habitual, and from habitual to evangelical — across consumer, B2B, internal-tool, and public-service contexts. This skill diagnoses adoption problems and designs adoption plans anchored in evidence rather than marketing assumptions.
When to Load
| Trigger | What's Needed |
|---|---|
| Diagnose low activation or time-to-value | references/adoption-lifecycle-concepts.md |
| Design an adoption or rollout plan | templates/adoption-plan.md |
| Diagnose a specific adoption problem | templates/activation-time-to-value-diagnostic.md |
| Segment users into rollout cohorts | templates/segmentation-and-rollout-record.md |
| Review sustained use after launch | templates/sustained-use-review.md |
| Handle non-SaaS contexts | references/non-saas-adoption-contexts.md |
| Design behavior change or education | references/behavior-change-and-education.md |
When Not to Use
This skill does not own:
- Acquisition campaigns, paid marketing, or conversion funnel optimization — these belong to
go-to-market(see ../go-to-market/SKILL.md). - Product-analytics instrumentation — belongs to
product-analytics-and-measurement(prose reference only; skill not yet landed). - Customer-success account management, renewal management, or health scoring — belongs to
conditional-customer-success(prose reference only; skill not yet landed).
File Map
| File | Purpose | Load when |
|---|---|---|
| references/discovery-brief.md | Maps existing GTM/acquisition material, states ownership boundaries | Required context |
| references/adoption-lifecycle-concepts.md | Distinguishes acquisition, activation, adoption, retention, expansion | Diagnosing stage confusion |
| references/non-saas-adoption-contexts.md | Internal-tool, public-service, consumer, and B2B patterns | Non-SaaS product |
| references/behavior-change-and-education.md | Behavior-change frameworks, in-product education, accessibility-first adoption | Designing onboarding, education |
| templates/adoption-plan.md | End-to-end adoption plan with evidence gates | Planning a launch |
| templates/activation-time-to-value-diagnostic.md | Structured activation diagnostic | Low activation signal |
| templates/segmentation-and-rollout-record.md | Cohort segmentation with evidence decision points | Rolling out to cohorts |
| templates/sustained-use-review.md | Post-launch adoption review | Evaluating adoption health |
What ships with it
10 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.
- evals/evals.json 10 KB
- README.md 3.0 KB
- references/adoption-lifecycle-concepts.md 1.6 KB
- references/behavior-change-and-education.md 1.9 KB
- references/discovery-brief.md 1.9 KB
- references/non-saas-adoption-contexts.md 1.6 KB
- templates/activation-time-to-value-diagnostic.md 1.7 KB
- templates/adoption-plan.md 2.4 KB
- templates/segmentation-and-rollout-record.md 2.1 KB
- templates/sustained-use-review.md 2.5 KB
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 · 111 lines · 114 tokens per session scan A dbbae87aac93
product-adoption is a skill published in the GitHub repository magnus919/agent-skills (151 stars, last pushed today), licensed MIT. It adds 114 tokens to every session and 1,483 once invoked, about $0.0005 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 2026-09-03.
Other skills, from other repositories
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cocoharvest
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plan
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cococonverge
CocoPivot — multi-pod convergence synthesizer. Deterministically deduplicates findings from N parallel pod outputs into one prioritized, coordinated action plan. Invoked via $pivot run/show/status/clear.
cocoplus-config
CocoPlus configuration SSOT — $cocoplus sync propagates cocoplus.toml into downstream artifacts; $cocoplus migrate-config converts legacy safety-config.json. Invoked via $cocoplus sync and $cocoplus migrate-config.
lean-debt
CocoLean shortcut debt ledger — harvests cocoplus: comment markers across the CocoPod and produces a ranked deferral report sorted by ceiling imminence and age.