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-methodologygit 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-methodology)<a href="https://agentmods.dev/skills/magnus919/agent-skills/product-methodology"><img src="https://agentmods.dev/badge/skills/magnus919/agent-skills/product-methodology/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-methodology"><img src="https://agentmods.dev/badge/skills/magnus919/agent-skills/product-methodology.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 | $0.00049 | $0.01314 |
| Opus 5 | $0.00024 | $0.00657 |
| Sonnet 5 | $0.00010 | $0.00263 |
| Haiku 4.5 | $0.00005 | $0.00131 |
Grade A, and why
product-methodology 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 — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Product Methodology
This skill begins where discovery ends. When you have validated evidence from stakeholder conversations, competitive research, or usage data, it guides you through prioritization, decision-making, specification, and communication.
Pipeline
VALIDATED EVIDENCE → [PRIORITIZE] → [DECIDE] → [SPECIFY] → [COMMUNICATE]
| | | |
RICE + MoSCoW Decision log Spec Stakeholder
template template briefs
Reference Guide
Load only the reference relevant to the task:
| Reference | Load when |
|---|---|
| RICE scoring | You need to compare unrelated feature proposals by Reach × Impact × Confidence / Effort |
| MoSCoW prioritization | Scope is tight for a time-boxed release and you need crisp Must/Should/Could/Won't boundaries |
| Opportunity solution trees | The problem space is messy and you need to connect customer needs to build decisions without jumping to solutions |
| Decision log | You've made a decision with tradeoffs that will be questioned later — log the context and expected outcome |
| Spec template | You need a requirements document that engineers, designers, and stakeholders can all work from |
| Stakeholder communication | You're preparing a message for execs, engineers, designers, or customers — each audience needs a different format |
| Source index | Reviewing provenance, porting scope, and authoritative source links |
Templates
| Template | Load when |
|---|---|
| Decision log template | You need a fillable decision log entry with frontmatter |
| Spec template | You need a fillable spec document with the sections provided by this methodology |
What ships with it
11 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 7.8 KB
- README.md 3.6 KB
- references/decision-log.md 3.5 KB
- references/moscow-prioritization.md 4.2 KB
- references/opportunity-solution-trees.md 4.2 KB
- references/rice-framework.md 5.1 KB
- references/source-index.md 3.6 KB
- references/spec-template.md 5.4 KB
- references/stakeholder-communication.md 6.0 KB
- templates/DECISION_LOG.md 1.3 KB
- templates/SPEC.md 2.7 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.
- 9d ago First seen · 93 lines · 49 tokens per session scan A eba73b5a2575
product-methodology is a skill published in the GitHub repository magnus919/agent-skills (76 stars, last pushed yesterday), licensed MIT. It adds 49 tokens to every session and 1,314 once invoked, about $0.0002 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 2026-09-03.
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