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/plugins/vandanaajaydubey111/great-pm/great-pm)<a href="https://agentmods.dev/plugins/vandanaajaydubey111/great-pm/great-pm"><img src="https://agentmods.dev/badge/plugins/vandanaajaydubey111/great-pm/great-pm/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/plugins/vandanaajaydubey111/great-pm/great-pm"><img src="https://agentmods.dev/badge/plugins/vandanaajaydubey111/great-pm/great-pm.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
great-pm scanned grade A with 1 finding 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 1mo 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
"command": "INPUT=$(cat 2>/dev/null); if [ -z \"$INPUT\" ]; then exit 0; fi; CMD=$(echo \"$INPUT\" | python3 -c \"import sys,json; d=json.load(sys.stdin); print(d.get('tool_input',{}).get('command',''))\" 2>/dev/null); i How it starts
The opening of the file, as written. The whole thing — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.
{
"name": "great-pm",
"description": "A full product team for a solo PM or founder. Specialist agents run the product loop — discovery, strategy, prioritization, specs, launch, measurement — while the human confirms a small number of gates.",
"version": "1.0.1",
"author": { "name": "Vandana Dubey", "url": "https://github.com/VandanaAjayDubey111" },
"license": "MIT",
"keywords": ["product-management", "ai-pm", "multi-agent", "orchestration", "claude-code-plugin"],
"hooks": {
"SessionStart": [
{
"matcher": null,
"hooks": [
{
"type": "command",
"command": "bash \"${CLAUDE_PLUGIN_ROOT:-$HOME/great-pm}/scripts/great-pm-session-start.sh\"",
"timeout": 20,
"statusMessage": "Loading great-pm context..."
}
]
}
],
"SubagentStart": [
{
"matcher": null,
"hooks": [
{
"type": "command",
"command": "if [ -f .great-pm/PROJECT.md ]; then echo '=== PROJECT.md (top) ==='; head -25 .great-pm/PROJECT.md; fi; if [ -f .great-pm/brain.md ]; then echo ''; echo '=== brain.md (last 40 lines — recent synthesis) ==='; tail -40 .great-pm/brain.md; fi; if [ -f .great-pm/HANDOFF.md ]; then echo ''; echo '=== HANDOFF.md (recent) ==='; tail -20 .great-pm/HANDOFF.md; fi; if [ -d .great-pm/verdicts ]; then echo ''; echo '=== Latest verdicts (3 most recent files) ==='; ls -t .great-pm/verdicts/*.log 2>/dev/null | head -3 | xargs tail -2 2>/dev/null | head -10; fi; exit 0",
"timeout": 5,
"statusMessage": "Injecting great-pm brain context..."
}
]
}
],
"PreCompact": [
{
"matcher": null,
"hooks": [
{
"type": "command",
"command": "mkdir -p .great-pm; BRANCH=$(git branch --show-current 2>/dev/null || echo unknown); LAST_COMMIT=$(git log --oneline -1 2>/dev/null || echo none); UNCOMMITTED=$(git status --short 2>/devWhat it installs
The manifest is a name and a version. 114 skills, 34 commands, 48 agents, 5 hooks travel with it, and installing the plugin installs all of them — 12,170 tokens a session between them. Each is measured on its own page, and each can be installed alone.
- Skill contagious A 125 tokens
- Skill improve-retention A 129 tokens
- Skill lean-startup A 130 tokens
- Skill product-strategy-stack A 194 tokens
- Skill storybrand-messaging A 116 tokens
- Skill agent-product-patterns A 90 tokens
- Skill ai-unit-economics A 94 tokens
- Skill ai-ux-patterns A 84 tokens
- Skill blue-ocean-strategy A 134 tokens
- Skill crossing-the-chasm A 135 tokens
- Skill funnel-diagnostics A 78 tokens
- Skill made-to-stick A 118 tokens
- Skill north-star-input-tree A 92 tokens
- Skill rag-vs-finetune-decision A 109 tokens
- Skill brainstorm-okrs A 49 tokens
- Skill growth-loops A 54 tokens
- Skill retro A 52 tokens
- Skill swot-analysis A 39 tokens
- Skill cost-model A 65 tokens
- Skill great-pm A 48 tokens
- Skill opportunity-solution-tree A 68 tokens
- Skill outcome-roadmap A 53 tokens
- Skill pre-mortem A 68 tokens
- Skill release-notes A 57 tokens
- Skill sprint-planning A 64 tokens
- Skill climate-mrv A 59 tokens
- Skill healthcare-compliance A 50 tokens
- Skill impact-mapping A 83 tokens
- Skill pm-gate A 57 tokens
- Skill pm-help A 20 tokens
- Skill circles-method A 88 tokens
- Skill done-blocked A 54 tokens
- Skill grill-me A 98 tokens
- Skill pm-agent-retire A 49 tokens
- Skill pm-measure A 50 tokens
- Skill pm-promote A 43 tokens
- Skill pm-start A 45 tokens
- Skill pm-tech-spec-review A 83 tokens
- Skill pm-agent-review A 39 tokens
- Skill pm-audit A 65 tokens
- Skill pm-board A 49 tokens
- Skill pm-burn A 37 tokens
- Skill pm-competitive A 35 tokens
- Skill pm-cost A 46 tokens
- Skill pm-crystallize A 53 tokens
- Skill pm-discover A 47 tokens
- Skill pm-doctor A 45 tokens
- Skill pm-experiment A 46 tokens
- Skill pm-feedback A 33 tokens
- Skill pm-inbox A 38 tokens
- Skill pm-launch A 48 tokens
- Skill pm-learn A 56 tokens
- Skill pm-metrics A 38 tokens
- Skill pm-ownership A 35 tokens
- Skill pm-poc A 57 tokens
- Skill pm-pricing A 33 tokens
- Skill pm-prioritize A 52 tokens
- Skill pm-resume A 41 tokens
- Skill pm-review A 36 tokens
- Skill pm-rfc A 38 tokens
- Skill pm-roadmap A 32 tokens
- Skill pm-save A 50 tokens
- Skill pm-spec A 38 tokens
- Skill pm-strategize A 44 tokens
- Skill connectors A 42 tokens
- Skill pm-digest A 39 tokens
- Skill continuous-discovery A 118 tokens
- Skill engagement-depth A 174 tokens
- Skill influence-psychology A 115 tokens
- Skill inspired-product A 115 tokens
- Skill jobs-to-be-done A 127 tokens
- Skill mom-test A 135 tokens
- Skill plg-operating-model A 181 tokens
- Skill activation-aha-moment A 82 tokens
- Skill ai-evals A 83 tokens
- Skill ai-use-case-scoping A 85 tokens
- Skill ansoff-matrix A 44 tokens
- Skill beachhead-segment A 58 tokens
- Skill business-model A 36 tokens
- Skill cohort-analysis A 54 tokens
- Skill lean-canvas A 50 tokens
- Skill pestle-analysis A 46 tokens
- Skill competitive-analysis A 33 tokens
- Skill customer-journey-map A 49 tokens
- Skill stakeholder-map A 47 tokens
- Skill accessibility A 48 tokens
- Skill ai-regulation A 57 tokens
- Skill competitive-battlecard A 52 tokens
- Skill consumer-privacy A 55 tokens
- Skill edtech-compliance A 57 tokens
- Skill eu-gdpr A 49 tokens
- Skill hipaa-bundle A 47 tokens
- Skill india-fintech A 51 tokens
- Skill method-pm-audit A 67 tokens
- Skill pci-bundle A 59 tokens
- Skill prd-authoring A 58 tokens
- Skill prioritization-methods A 86 tokens
- Skill us-fintech A 55 tokens
- Skill user-research A 47 tokens
- Skill experiment-design A 47 tokens
- Skill launch-readiness A 37 tokens
- Skill pr-authoring A 65 tokens
- Skill pr-review A 40 tokens
- Skill pricing-models A 40 tokens
- Skill value-proposition-canvas A 75 tokens
- Skill metrics-design A 39 tokens
- Skill skeptical-triage A 50 tokens
- Skill ticket-authoring A 50 tokens
- Skill working-backwards A 63 tokens
- Skill great-pm-runtime A 32 tokens
- Skill responsible-ai-guardrails B 108 tokens
- Skill hooked-ux A 122 tokens
- Skill obviously-awesome A 122 tokens
- Skill porters-five-forces A 47 tokens
- Command pm-help A 17 tokens
- Command pm-gate A 53 tokens
- Command grill-me A 94 tokens
- Command pm-agent-retire A 44 tokens
- Command pm-experiment A 42 tokens
- Command pm-measure A 46 tokens
- Command pm-promote A 39 tokens
- Command pm-start A 42 tokens
- Command pm-agent-review A 35 tokens
- Command pm-audit A 61 tokens
- Command pm-board A 46 tokens
- Command pm-competitive A 31 tokens
- Command pm-cost A 43 tokens
- Command pm-crystallize A 48 tokens
- Command pm-discover A 43 tokens
- Command pm-doctor A 41 tokens
- Command pm-feedback A 30 tokens
- Command pm-launch A 45 tokens
- Command pm-learn A 52 tokens
- Command pm-metrics A 34 tokens
- Command pm-ownership A 31 tokens
- Command pm-poc A 53 tokens
- Command pm-pricing A 29 tokens
- Command pm-prioritize A 47 tokens
- Command pm-review A 33 tokens
- Command pm-rfc A 34 tokens
- Command pm-roadmap A 28 tokens
- Command pm-save A 47 tokens
- Command pm-spec A 35 tokens
- Command pm-strategize A 39 tokens
- Command pm-burn A 33 tokens
- Command pm-digest A 35 tokens
- Command pm-inbox A 34 tokens
- Command pm-resume A 37 tokens
- Agent grill-me A 204 tokens
- Agent pm-lead A 54 tokens
- Agent skill-scout A 89 tokens
- Agent ai-cost-optimizer A 47 tokens
- Agent ai-ethics-pm A 54 tokens
- Agent ai-feedback-loop-designer A 59 tokens
- Agent ai-launch-strategist A 64 tokens
- Agent ai-product-strategist A 60 tokens
- Agent ai-roadmap-planner A 50 tokens
- Agent ai-rollback-strategist A 56 tokens
- Agent ai-safety-pm A 55 tokens
- Agent b2b-saas-pm-reviewer A 62 tokens
- Agent consumer-app-pm-reviewer A 64 tokens
- Agent continuous-learner A 67 tokens
- Agent creator-platform-pm-reviewer A 73 tokens
- Agent data-strategist A 44 tokens
- Agent edtech-pm-reviewer A 79 tokens
- Agent enterprise-saas-pm-reviewer A 69 tokens
- Agent fintech-pm-reviewer A 76 tokens
- Agent harness-engineer-pm A 65 tokens
- Agent healthcare-pm-reviewer A 78 tokens
- Agent marketplace-pm-reviewer A 53 tokens
- Agent mlops-pm A 47 tokens
- Agent model-evaluator-pm A 49 tokens
- Agent pm-auditor A 85 tokens
- Agent pm-reviewer A 56 tokens
- Agent prompt-engineer-pm A 71 tokens
- Agent query-refiner-pm A 63 tokens
- Agent spec-writer A 56 tokens
- Agent ai-experimentation-pm A 55 tokens
- Agent analytics-analyst A 49 tokens
- Agent experiment-designer A 46 tokens
- Agent feedback-synthesizer A 53 tokens
- Agent gtm-strategist A 54 tokens
- Agent launch-manager A 47 tokens
- Agent market-analyst A 49 tokens
- Agent metrics-architect A 53 tokens
- Agent pricing-strategist A 49 tokens
- Agent prioritization-analyst A 69 tokens
- Agent product-strategist A 45 tokens
- Agent roadmap-planner A 48 tokens
- Agent spec-reviewer A 56 tokens
- Agent stakeholder-comms A 54 tokens
- Agent strategy-analyst A 109 tokens
- Agent tradeoff-arbiter A 62 tokens
- Agent user-researcher A 47 tokens
- Agent pm-advisor A 123 tokens
- Agent devils-advocate B 159 tokens
- Hook PreToolUse A not measured
- Hook SessionStart A not measured
- Hook SubagentStart A not measured
- Hook PreCompact A not measured
What ships with it
1 file beside plugin.json 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.
- 1mo ago Changed c7128fde19fb
- 1mo ago First seen · 87 lines scan A 2c7aedd6c6f2
great-pm is a plugin published in the GitHub repository VandanaAjayDubey111/great-pm (3 stars, last pushed 1mo ago), licensed MIT. Its token cost is not measured: this kind of file is read by the harness, not the model. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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