pm-dashboard

pm-dashboard is a skill for Claude Code from shaan-ad/pm-os. It costs 35 tokens per session (1,059 once invoked), scanned A, original, MIT.

A product-status dashboard workflow reads project notes and connected data to create one page covering goals, sprints, decisions, blockers, launches, and metrics.

In plain words
What is it for?
It is for producing a product update from files in a knowledge base and available integrations, including OKR progress, sprint status, recent decisions, launches, and performance measures.
Why use it?
It brings scattered product information into one current view and points out which information is missing.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the pm-os plugin — 27 skills, 1 hook shipped together

Good fit It is for producing a product update from files in a knowledge base and available integrations, including OKR progress, sprint status, recent decisions, launches, and performance measures.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/shaan-ad/pm-os/pm-dashboard
Install

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.

Any agent
npx skills add shaan-ad/pm-os --skill pm-dashboard
Clone the repo
git clone --depth 1 https://github.com/shaan-ad/pm-os

Made for: Claude Code.

Or install pm-os, the plugin that ships this one along with the rest of its 27 skills, 1 hook.

Wrote 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.

agentmods badge for pm-dashboard

README.md
[![agentmods](https://agentmods.dev/badge/skills/shaan-ad/pm-os/pm-dashboard/github.svg)](https://agentmods.dev/skills/shaan-ad/pm-os/pm-dashboard)
Your own site
<a href="https://agentmods.dev/skills/shaan-ad/pm-os/pm-dashboard"><img src="https://agentmods.dev/badge/skills/shaan-ad/pm-os/pm-dashboard/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.

agentmods 80×15 button for pm-dashboard

Your own site · 80×15
<a href="https://agentmods.dev/skills/shaan-ad/pm-os/pm-dashboard"><img src="https://agentmods.dev/badge/skills/shaan-ad/pm-os/pm-dashboard.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 35 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,059 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00035 $0.01059
Opus 5 $0.00017 $0.00530
Sonnet 5 $0.00007 $0.00212
Haiku 4.5 $0.00003 $0.00106

Measured 9d ago against content hash 6d5cb2c03984, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

pm-dashboard 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 9d 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.

skills/pm-dashboard/SKILL.md · 133 lines

How it starts

The opening of the file, as written. The whole thing — 133 lines — stays where its author put it; the contents beside it link to each section on GitHub.

PM Dashboard: Product Status Overview

You produce a single-page status dashboard by reading everything in the knowledge/ directory and pulling live data from any available MCP integrations.

Before Running

  1. Check that knowledge/ exists. If not, tell the user: "No knowledge base found. Run /pm-setup first."
  2. Read knowledge/pm-context.md to get product context and preferences.

Data Collection

Read all available knowledge files. For each section below, note what data exists and what is missing.

Files to Read

Read these files (skip any that don't exist):

  • knowledge/pm-context.md : Product context
  • knowledge/okrs.md : OKR definitions and progress
  • knowledge/team.md : Team info
  • knowledge/roadmap/*.md : Roadmap items
  • knowledge/sprints/*.md : Sprint scoping (look for the most recent)
  • knowledge/decisions/*.md : Recent decisions (last 5)
  • knowledge/launches/*.md : Upcoming or recent launches
  • knowledge/metrics/*.md : Latest metrics snapshots
  • knowledge/feedback/synthesis-*.md : Latest feedback synthesis
  • knowledge/priorities/*.md : Current prioritization
  • knowledge/experiments/*.md : Active experiments

MCP Integrations (Check and Use If Available)

Check if these tools are accessible. Use them if they are, skip gracefully if not.

Linear / Jira (project management tools):

  • Try to list current sprint tickets, their status, and assignees
  • Pull velocity or burndown if available
  • Note blocked tickets

GitHub (source control):

  • Check for open PRs and their review status
  • Look for recent deployments or releases
  • Note any failing CI checks

Slack (communication):

  • Look for recent product-related threads or escalations
  • Check for unresolved questions in product channels

For each integration that is NOT available, add a small note in the dashboard: "(Live data unavailable, install {tool} MCP for real-time updates)"

Dashboard Output

Present the dashboard in this format:

# Product Dashboard: {product_name}
*Generated: {today's date and time}*

---

## OKR Progress
{For each objective, show the objective and each key result with progress if known}
{If no progress data, show the OKRs and mark "Progress: not yet tracked"}

| Objective | Key Result | Status |
|-----------|-----------|--------|
| {obj} | {kr} | {status or "Not tracked"} |

---

## Sprint Status
{Current sprint name/number if known}
{Ticket counts by status: To Do, In Progress, Done}
{Blocked items highlighted}
{If no sprint data: "No sprint data. Run /sprint-scope to plan your next sprint."}

---

## Recent Decisions
{Last 3-5 decisions with date, title, and outcome}
{If none: "No decisions recorded. Use /decision-record after your next key decision."}

---

## Open Blockers
{Any blocked items from sprint, launches, or decisions}
{If none: "No blockers identified."}

---

## Upcoming Launches
{Next 2-3 launches with target date and readiness status}
{If none: "No launches planned. Use /launch when you're ready."}

---

## Metrics Snapshot
{Latest values for key metrics from pm-context.md}
{Trends if multiple snapshots exist}
{If no data: "No metrics recorded. Use /metrics-check to start tracking."}

---

## Active Experiments
{Any running A/B tests or experiments with status}
{If none: "No active experiments."}

---

## Customer Feedback Themes
{Top 3 themes from latest feedback synthesis}
{If none: "No feedback synthesized. Use /feedback-synthesis to analyze customer feedback."}

---

## What Needs Attention
{Synthesize: what looks off, what's overdue, what's at risk}
{Specific recommendations with skill commands to resolve each}

Read the full file on GitHub · 133 lines

Changes

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.

  1. 9d ago First seen · 133 lines · 35 tokens per session scan A 6d5cb2c03984

Subscribe to this mod's changes

pm-dashboard is a skill published in the GitHub repository shaan-ad/pm-os (31 stars, last pushed 5mo ago), licensed MIT. It adds 35 tokens to every session and 1,059 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 2026-08-30.

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