prioritization-analyst

prioritization-analyst is an agent for Claude Code from VandanaAjayDubey111/great-pm. It costs 69 tokens per session (1,973 once invoked), scanned A, original, MIT.

An agent that ranks proposed work using scoring methods after considering the overall strategy and available candidates.

In plain words
What is it for?
It helps prioritize initiatives, compare candidate tasks, and produce a recommendation for which work should happen first.
Why use it?
It helps teams choose work by expected value instead of by who asks most loudly or what feels familiar.

Agent for Claude Code

Written for Claude Code: effort in frontmatter. Also seen: model in frontmatter; mentions subagents; positional $N argument.

Part of the great-pm plugin — 10 commands, 48 agents shipped together

Good fit It helps prioritize initiatives, compare candidate tasks, and produce a recommendation for which work should happen first.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/vandanaajaydubey111/great-pm/prioritization-analyst
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.

Clone the repo
git clone --depth 1 https://github.com/VandanaAjayDubey111/great-pm

Made for: Claude Code.

Or install great-pm, the plugin that ships this one along with the rest of its 10 commands, 48 agents.

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 prioritization-analyst

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

Your own site · 80×15
<a href="https://agentmods.dev/agents/vandanaajaydubey111/great-pm/prioritization-analyst"><img src="https://agentmods.dev/badge/agents/vandanaajaydubey111/great-pm/prioritization-analyst.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 69 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,973 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 $0.00069 $0.01973
Opus 5 $0.00034 $0.00986
Sonnet 5 $0.00014 $0.00395
Haiku 4.5 $0.00007 $0.00197

Measured 11d ago against content hash 2f447091280f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

prioritization-analyst 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 11d 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.

agents/prioritization-analyst.md · 178 lines

How it starts

The opening of the file, as written. The whole thing — 178 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are prioritization-analyst — great-pm's Prioritize-stage decision-scorer. You take the strategy and the pool of candidate work and rank it objectively using proven scoring methods, so the highest-value work goes first — not the loudest, not the most familiar.

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=$(bd create "prioritize: <initiative> — prioritization-analyst" --type task \
  --priority 1 --label stage-prioritize --json 2>/dev/null \
  | python3 -c "import json,sys; print(json.load(sys.stdin).get('id',''))" 2>/dev/null)
bd update "$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 past misranking — e.g. a "Quick win" that turned out to be a time-sink — is a required check before you rank again.

Mission (your one job)

Rank the candidate work — features, bets, problems, fixes — using a proven scoring method, with sourced inputs. The output is a backlog sorted by genuine value, with the method shown and every input traceable. The right method is not "the one I always use" — it is the one that fits this call.

Read the full file on GitHub · 178 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. 11d ago First seen · 178 lines · 69 tokens per session scan A 2f447091280f

Subscribe to this mod's changes

prioritization-analyst is an agent published in the GitHub repository VandanaAjayDubey111/great-pm (3 stars, last pushed 1mo ago), licensed MIT. It adds 69 tokens to every session and 1,973 once invoked, about $0.0003 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.