pm-start

pm-start is a skill for Claude Code, Codex from VandanaAjayDubey111/great-pm. It costs 45 tokens per session (1,173 once invoked), scanned A, original, MIT.

A workflow for starting a product initiative and moving it through early discovery into strategy review. It coordinates research about users, feedback, and the market.

In plain words
What is it for?
Use it to begin product discovery, organize user and market research, and prepare a strategy decision.
Why use it?
It gives a new initiative a defined starting process instead of leaving research and decisions uncoordinated. It also brings different kinds of early evidence together.

Skill for Claude CodeCodex

Written for Claude Code and Codex: $ARGUMENTS substitution, but also agents/openai.yaml present. Also seen: mentions subagents; mentions Codex; $skill-name invocation.

Part of the great-pm plugin — 114 skills, 34 commands, 48 agents, 5 hooks shipped together

Good fit Use it to begin product discovery, organize user and market research, and prepare a strategy decision.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/vandanaajaydubey111/great-pm/pm-start
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 VandanaAjayDubey111/great-pm --skill pm-start
Clone the repo
git clone --depth 1 https://github.com/VandanaAjayDubey111/great-pm

Made for: Claude Code, Codex.

Or install great-pm, the plugin that ships this one along with the rest of its 114 skills, 34 commands, 48 agents, 5 hooks.

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-start

README.md
[![agentmods](https://agentmods.dev/badge/skills/vandanaajaydubey111/great-pm/pm-start/github.svg)](https://agentmods.dev/skills/vandanaajaydubey111/great-pm/pm-start)
Your own site
<a href="https://agentmods.dev/skills/vandanaajaydubey111/great-pm/pm-start"><img src="https://agentmods.dev/badge/skills/vandanaajaydubey111/great-pm/pm-start/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-start

Your own site · 80×15
<a href="https://agentmods.dev/skills/vandanaajaydubey111/great-pm/pm-start"><img src="https://agentmods.dev/badge/skills/vandanaajaydubey111/great-pm/pm-start.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 45 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,173 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 $0.00045 $0.01173
Opus 5.5 $0.00018 $0.00469
Sonnet 5.5 $0.00009 $0.00235
Haiku 4.5 $0.00005 $0.00117

Measured 1mo ago against content hash 44da9aa2988a, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

pm-start 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 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.

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.

plugins/great-pm/skills/pm-start/SKILL.md · 102 lines

How it starts

The opening of the file, as written. The whole thing — 102 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Codex host binding

  • Treat references to Claude slash workflows as the equivalently named Codex skill.
  • Before delegating to any specialist, read the great-pm-runtime skill and the selected packaged role file.
  • Treat "invoke", "assign", "delegate", "spawn", and source Agent-tool instructions as a required Codex spawn_agent call with that role and a bounded assignment.
  • For the spawn tool's task_name or agent_name identifier, replace canonical role-name hyphens with underscores (query-refiner-pm → query_refiner_pm). Keep canonical names unchanged in prompts, filenames, verdict logs, and user-facing output; this is an internal identifier mapping, not a role rename.
  • Store every returned agent identifier. Never call a wait tool until a spawn has returned an identifier, and wait only on identifiers returned by successful spawns.
  • If spawn_agent is unavailable or a spawn fails, report BLOCKED; do not impersonate the specialist or wait on an empty agent set.
  • Resolve bundled paths from the installed GreatPM plugin root.
  • Ignore Claude-only model aliases, colors, turn limits, and tool allowlists.
  • Preserve GreatPM human gates, governance, state, and reporting contracts.

You are the great-pm $pm-start command. Begin a new initiative by kicking off the Discover stage.

Pre-flight

echo "cwd=$(pwd)"
ls .great-pm/PROJECT.md 2>/dev/null && echo "PROJECT_OK" || echo "NO_PROJECT"

If NO_PROJECT → stop. Tell the user:

No .great-pm/PROJECT.md found in $(pwd).
Copy the template:  cp ${PLUGIN_ROOT}/templates/PROJECT.md.template .great-pm/PROJECT.md
Then customize it, then re-run $pm-start.

If PROJECT_OK → proceed.

Operating procedure

0a. Offer the grill — ALWAYS, before anything else (including before query-refiner, because grill-me needs the RAW framing). Ask exactly once:

Before I start this initiative: want to grill it first? (~2 min)
$grill-me runs a short interrogation — it widens the brief and surfaces
the unknowns you can't see, BEFORE the loop builds on them. [grill me / skip]
  • grill me → run the $grill-me procedure inline on the raw $ARGUMENTS. When it completes, use the sharpened problem statement from the situation brief as the initiative input and SKIP step 0 below (the grill already did the refinement job, conversationally). Any P0 blocker it filed must be answered/overridden before gate:strategy can pass.
  • skip → proceed to step 0. Never nag; one offer only.

Read the full file on GitHub · 102 lines

Files

What ships with it

1 file beside SKILL.md 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.

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. 1mo ago First seen · 102 lines · 45 tokens per session scan A 44da9aa2988a

Subscribe to this mod's changes

pm-start is a skill published in the GitHub repository VandanaAjayDubey111/great-pm (3 stars, last pushed 1mo ago), licensed MIT. It adds 45 tokens to every session and 1,173 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-09-21.

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