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-operations-and-governancegit 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-operations-and-governance)<a href="https://agentmods.dev/skills/magnus919/agent-skills/product-operations-and-governance"><img src="https://agentmods.dev/badge/skills/magnus919/agent-skills/product-operations-and-governance/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-operations-and-governance"><img src="https://agentmods.dev/badge/skills/magnus919/agent-skills/product-operations-and-governance.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 | $0.00165 | $0.03311 |
| Opus 5 | $0.00082 | $0.01656 |
| Sonnet 5 | $0.00033 | $0.00662 |
| Haiku 4.5 | $0.00016 | $0.00331 |
Grade A, and why
product-operations-and-governance 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 6d 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 — 200 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Product Operations and Governance
Define and operate the recurring product governance system: who decides what, with what evidence, on what cadence, and what happens when decisions are contested or evidence is missing. This skill owns the product-level operating model — the connective tissue between product strategy, portfolio choices, experimentation, adoption, and lifecycle learning. It does not own executive governance or technical delivery gates.
Governance Boundary (Read First)
This skill owns product governance: the recurring system for intake, portfolio review, roadmap decisions, experiment review, launch decisions, and lifecycle/health review. Product governance answers: what are we building, in what order, with what evidence, reviewed by whom, on what cadence?
This skill explicitly does not own:
- Executive governance — capital allocation, org structure, strategic bets at the company level, M&A evaluation. Route to chief-of-staff-methodology for decision-memo and executive-office methods, and strategy-frameworks for strategic planning frameworks.
- Technical delivery gates — CI/CD pipelines, release approval workflows, deployment checklists, infrastructure change review. Route to release-engineering for release mechanics and spec-driven-development for specification-phase gates.
The three governance layers — product, executive, and delivery — are distinct. A product governance decision ("approve this experiment to proceed to launch review") is not an executive decision ("allocate $2M to the payments platform") and not a delivery gate ("the deployment pipeline must pass integration tests"). See references/discovery-brief.md for the full boundary analysis.
Core Framework
Two Operating Modes
This skill supports two modes; choose one explicitly for every engagement. The mode determines evidence requirements, review formality, and escalation thresholds.
What ships with it
8 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.
- 6d ago Changed · +1 lines b28c86b7ba8f
- 9d ago First seen · 199 lines · 165 tokens per session scan A a60434123a22
product-operations-and-governance is a skill published in the GitHub repository magnus919/agent-skills (76 stars, last pushed yesterday), licensed MIT. It adds 165 tokens to every session and 3,311 once invoked, about $0.0008 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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