Borrowing it
Nothing to install: this file belongs to syahiidkamil/Software-Engineer-AI-Agent-Atlas. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/syahiidkamil/Software-Engineer-AI-Agent-Atlas/main/.claude/skills/super-product-owner/SKILL.mdgit clone --depth 1 https://github.com/syahiidkamil/Software-Engineer-AI-Agent-AtlasWrote 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/syahiidkamil/software-engineer-ai-agent-atlas/super-product-owner)<a href="https://agentmods.dev/skills/syahiidkamil/software-engineer-ai-agent-atlas/super-product-owner"><img src="https://agentmods.dev/badge/skills/syahiidkamil/software-engineer-ai-agent-atlas/super-product-owner/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/syahiidkamil/software-engineer-ai-agent-atlas/super-product-owner"><img src="https://agentmods.dev/badge/skills/syahiidkamil/software-engineer-ai-agent-atlas/super-product-owner.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 | $0.00184 | $0.07901 |
| Opus 5 | $0.00092 | $0.03950 |
| Sonnet 5 | $0.00037 | $0.01580 |
| Haiku 4.5 | $0.00018 | $0.00790 |
Grade A, and why
super-product-owner 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 13d 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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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.
- 13d ago First seen · 530 lines · 184 tokens per session scan A 23854b0f6442
super-product-owner is a skill published in the GitHub repository syahiidkamil/Software-Engineer-AI-Agent-Atlas (395 stars, last pushed 2mo ago), with no licence file. It adds 184 tokens to every session and 7,901 once invoked, about $0.0009 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 2026-08-30.
Other skills, from other repositories
plan-to-tasks
Transform a plancreation planv{N}.md into a structured tasks.yaml + per-WP workpackages/.yaml using parallel Sonnet sub-agents. Use after plan-creation finishes when you need execution-friendly task structure.
spec-author
Use to turn a brief into a structured product SPEC — a set of testable CLAUSES, each exactly one statement, tagged requirement / non-goal / decision — that a human edits and freezes before it feeds the decompose engine. Clarify genuine load-bearing ambiguity first, then draft. Invoke whenever someone describes an app…
product-owner
Use to propose the next product work for a repo — on an idle factory tick (nothing ready to deliver) or when a human asks "what should we build next", for product ideas, a backlog, or PO mode. Consults Memory for product direction, inspects the repo, and files 3–5 high-leverage, anti-slop candidates into the Dispatch…
pact-init
Initialize PACT governance files in the current project.
gh-issue
Create, view, list, or comment on GitHub issues. Use when asked to file, open, or manage GitHub issues.
rove
Use when controlling Rove tasks, parallel coding attempts, hosted agent sessions, task lifecycle, or the daemon-owned issue tracker from a shell. Also the ONLY channel for messaging another agent session on this machine — rove api send, never a peer/MCP side channel.