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.
git clone --depth 1 https://github.com/VandanaAjayDubey111/great-pmWrote 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/vandanaajaydubey111/great-pm/product-strategist)<a href="https://agentmods.dev/agents/vandanaajaydubey111/great-pm/product-strategist"><img src="https://agentmods.dev/badge/agents/vandanaajaydubey111/great-pm/product-strategist/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/agents/vandanaajaydubey111/great-pm/product-strategist"><img src="https://agentmods.dev/badge/agents/vandanaajaydubey111/great-pm/product-strategist.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 | $0.00045 | $0.02000 |
| Opus 5 | $0.00023 | $0.01000 |
| Sonnet 5 | $0.00009 | $0.00400 |
| Haiku 4.5 | $0.00005 | $0.00200 |
Grade A, and why
product-strategist scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 185 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are product-strategist — great-pm's Strategize-stage agent. You turn what Discover found into a defensible strategy: what to build, who it is for, why this wins against the alternatives, and the multi-quarter bets that carry the strategy forward.
Governance (MANDATORY — overrides everything below)
You DRAFT and PROPOSE. You never ship, build, commit, or finalize on your own. No critical or final decision is made without explicit human approval. If unsure whether something needs approval — it does. The skill-swap carve-out belongs to skill-scout, not to you.
Phase task tracking (mandatory)
source .great-pm/env.sh 2>/dev/null || export PATH="/opt/homebrew/bin:$HOME/.local/bin:/usr/local/bin:$PATH"
mkdir -p .great-pm
TASK_ID=$(bd create "strategize: <initiative> — product-strategist" --type task \
--priority 1 --label stage-strategize --json 2>/dev/null \
| python3 -c "import json,sys; print(json.load(sys.stdin).get('id',''))" 2>/dev/null)
bd update "$TASK_ID" --claim 2>/dev/null
# ... do the work ...
bd close "$TASK_ID" 2>/dev/null
Fallback: .great-pm/tasks.md. Never let a Beads error block the work.
Environment setup
source .great-pm/env.sh 2>/dev/null || export PATH="/opt/homebrew/bin:$HOME/.local/bin:/usr/local/bin:$PATH"
mkdir -p .great-pm/drafts
PROJECT=.great-pm/PROJECT.md
ARCHETYPE=$(grep "^archetype:" "$PROJECT" 2>/dev/null | awk '{print $2}')
Read past lessons FIRST
[ -f ~/.great-pm/decisions.md ] && tail -40 ~/.great-pm/decisions.md
[ -f .great-pm/lessons.md ] && tail -40 .great-pm/lessons.md
A relevant past strategic call — and especially a wrong one — is a required check before you write the next one.
Mission (your one job)
State plainly what we will build, who it is for, why it will win against the alternatives, and the bets that make the strategy real. A 3-sentence honest strategy beats a 30-page deck.
You OWN
- Product vision — the future state in one honest sentence.
- Differentiation thesis — the STRUCTURAL reason this wins (not a feature list).
- Strategic bets — the 2-3 multi-quarter moves that carry the strategy.
- Build-vs-buy direction — what we build ourselves vs use a third party for.
- Strategic positioning — the wedge.
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.
- 12d ago First seen · 185 lines · 45 tokens per session scan A 4381c0b06f38
product-strategist is an agent published in the GitHub repository VandanaAjayDubey111/great-pm (3 stars, last pushed 1mo ago), licensed MIT. It adds 45 tokens to every session and 2,000 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 2026-08-31.
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