An initiative cost estimator that projects language-model spending across a six-stage work cycle and compares it with an estimated human cost.

Use it to estimate expected model costs, compare them with human-equivalent effort, and judge whether the planned work is affordable now.

It helps you spot an initiative that may cost too much before work begins.

pm-cost — Skill for Claude Code and Codex by VandanaAjayDubey111

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-cost

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/vandanaajaydubey111/great-pm/pm-cost/github.svg)](https://agentmods.dev/skills/vandanaajaydubey111/great-pm/pm-cost)

Your own site

<a href="https://agentmods.dev/skills/vandanaajaydubey111/great-pm/pm-cost"><img src="https://agentmods.dev/badge/skills/vandanaajaydubey111/great-pm/pm-cost/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/vandanaajaydubey111/great-pm/pm-cost"><img src="https://agentmods.dev/badge/skills/vandanaajaydubey111/great-pm/pm-cost.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 46 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,035 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.

Model	Per session	Once invoked
Fable 5.1	$0.00046	$0.01035
Opus 5.5	$0.00018	$0.00414
Sonnet 5.5	$0.00009	$0.00207
Haiku 4.5	$0.00005	$0.00103

Measured 25d ago against content hash b504b0ce63cd, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

pm-cost 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 25d 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-cost/SKILL.md · 81 lines

How it starts

The opening of the file, as written. The whole thing — 81 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-cost command. Project the cost of a proposed initiative before commitment.

Operating procedure

Step 0 — refine the user's query (transparent Mode B). Invoke query-refiner-pm with $ARGUMENTS. The refiner returns:
```
You typed:  <original>

Refined to: <refined brief>

What changed: <one line>

Proceeding with refined. Reply "use original" to override.
```
Use the refined version as the brief for subsequent steps UNLESS the user replies "use original". Log the refinement to .great-pm/refinements/$(date +%Y-%m-%d).log. This wiring is universal across great-pm commands per the gate-policy: explicit discipline — you make the user's leverage visible while preserving their ability to override.
Parse the initiative description from $ARGUMENTS.
Sketch the loop stages this initiative will touch — some skip stages (a quick bug-fix skips Discover & Strategize).
Estimate agent runs per stage:
- Discover (if applicable): user-researcher 1, feedback-synthesizer 1, market-analyst 1
- Strategize (if applicable): product-strategist 1, pricing-strategist 0–1
- Prioritize: prioritization-analyst 1, roadmap-planner 1
- Define: spec-writer 1, spec-reviewer 1, metrics-architect 1
- Launch: launch-manager 1, gtm-strategist 1
- Measure: experiment-designer 0–1, analytics-analyst 1
- Cross-cutting: pm-lead orchestrates throughout; pm-reviewer reviews each gate
Pull lessons — read .great-pm/lessons.md for cost outliers tagged similar; apply if relevant.
Sum LLM cost at Opus-4.7 rates (~$0.50–2 per agent run; orchestrators on the high end).
Human-equivalent — same work, human team rates ($150/hr PM, $100/hr researcher, $150/hr analyst, +30% coordination).
Output: range (optimistic – pessimistic), savings_x, top 2 risks.

Read the full file on GitHub · 81 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.

agents/openai.yaml 220 B

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.

25d ago First seen · 81 lines · 46 tokens per session scan A b504b0ce63cd

Subscribe to this mod's changes

pm-cost is a skill published in the GitHub repository VandanaAjayDubey111/great-pm (3 stars, last pushed 25d ago), licensed MIT. It adds 46 tokens to every session and 1,035 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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