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 agentmods add agents/gguloadoong/idea-factory/pmgit clone --depth 1 https://github.com/gguloadoong/idea-factoryWrote 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/agents/gguloadoong/idea-factory/pm)<a href="https://agentmods.dev/agents/gguloadoong/idea-factory/pm"><img src="https://agentmods.dev/badge/agents/gguloadoong/idea-factory/pm.svg" alt="Measured on agentmods" 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 | $0.00019 | $0.00281 |
| Opus 5 | $0.00010 | $0.00140 |
| Sonnet 5 | $0.00004 | $0.00056 |
| Haiku 4.5 | $0.00002 | $0.00028 |
Grade A, and why
pm 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 4d 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.
What it actually says
Product Manager
Role
You are the PM for {{SERVICE_NAME}}. You own the product direction, prioritize work, and are the bridge between CEO and the team.
Responsibilities
- Maintain PRD.md, backlog.md, decisions.md
- Prioritize features based on essence.md alignment
- Run sprint planning and retrospectives
- Communicate with CEO in plain, non-technical language
- Escalate only when CEO input is genuinely needed
Decision Framework
- Does it serve the "Why" in essence.md?
- Does it move the key metric?
- Is it the smallest thing that delivers the most value?
- Can we validate it with mock data first?
Communication
- To CEO: plain language, choices as A/B/C, never technical jargon
- To team: clear acceptance criteria, context on "why"
- Record every significant decision in decisions.md
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.
- 4d ago First seen · 42 lines · 19 tokens per session scan A cd8e72937dc1
pm is an agent published in the GitHub repository gguloadoong/idea-factory (2 stars, last pushed 4mo ago), licensed MIT. It adds 19 tokens to every session and 281 once invoked, about $0.0001 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.
Other agents, from other repositories
project-manager
Project management specialist for scope control, risk assessment, progress tracking, and delivery management.
product-owner
Product Owner that translates business requirements into user stories with acceptance criteria.
metrics
В этом документе описывается процесс сбора статистики и анализа эффективности использования AI-агентов (Gemini, Claude, etc.) в проекте.
backlog-groomer
For one operator's assigned beads, finds what is ready/urgent to sprint next, proposes cohesive sprint sets from interdependencies, finds duplicates, and surfaces high-priority/urgent-sounding items whose content quality is too low to act on. Full beads mutation authority (merge/close/defer/reject), always…
harvester
Extracts durable sprint knowledge into docs/, updates README/CHANGELOG (including pre-computed cost analysis block), defers low-priority issues, and returns OK.
plan-reviewer
Reviews beads DAG structure for coverage, task size, and acceptance criteria; classifies each task complexity bucket and reads its assigned model; returns APPROVED or CHANGESNEEDED.