What is finops-assess?

A read-only command that scores cloud-cost opportunities by expected savings, engineering effort, risk, and confidence, then calculates Net Optimization Value (NOV). NOV is projected annual savings minus the cost of implementing the change.

Use it to assess one opportunity or all assessable opportunities, rank them, set the engineering rate and opportunity cost, and apply the NOV gate.

It helps decide which discovered opportunities are worth pursuing and rejects those whose expected value is zero or negative. The result recommends the next alignment step for opportunities that pass.

finops-assess — Command for Claude Code by glassity

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/glassity/agent-skills

Made for: Claude Code.

Or install glassity, the plugin that ships this one along with the rest of its 19 skills, 6 commands, 2 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.

README.md

[![agentmods](https://agentmods.dev/badge/commands/glassity/agent-skills/finops-assess/github.svg)](https://agentmods.dev/commands/glassity/agent-skills/finops-assess)

Your own site

<a href="https://agentmods.dev/commands/glassity/agent-skills/finops-assess"><img src="https://agentmods.dev/badge/commands/glassity/agent-skills/finops-assess/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/commands/glassity/agent-skills/finops-assess"><img src="https://agentmods.dev/badge/commands/glassity/agent-skills/finops-assess.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 51 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 1,641 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	$0.00051	$0.01641
Opus 5	$0.00026	$0.00821
Sonnet 5	$0.00010	$0.00328
Haiku 4.5	$0.00005	$0.00164

Measured 8d ago against content hash 370eac3c9469, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

finops-assess 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 8d 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.

commands/finops-assess.md · 129 lines

How it starts

The opening of the file, as written. The whole thing — 129 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/finops-assess — step 2: Opportunity Assessment

Shared vocabulary and formulas live in the glassity-five-steps skill. The NOV formula is repeated below so this command is runnable on its own.

Purpose

Turn discovered opportunities into assessed ones. For each, quantify Net Optimization Value — projected savings net of the engineering cost to capture them — and assign a confidence score. Rank the result and apply the NOV gate: an opportunity with NOV ≤ 0 is Fool's Gold and must not advance to /finops-align.

This command is read-only. It produces the scoring a human uses to decide what to align and execute next.

Variables

Variable	Source	Default	Meaning
`TARGET`	first positional arg	`--all`	A single `opportunity_…` id, or `--all` for every assessable opportunity.
`R_h`	`--rate`	ask (suggest 150)	Fully loaded engineering hourly rate in USD. Required for NOV.
`C_o`	`--opp-cost`	`0`	Opportunity cost of the feature work this displaces, USD/yr.
`S_p`	the CLI	—	Projected annual savings: `total_potential_savings_per_month × 12`.
`E_i`	effort tier	see table	Estimated implementation effort in hours.
`α`	data sparsity	—	Confidence; lower when the detail lacks utilization or telemetry.

Tool surface

CLI: glassity --output=json opp list and opp show <id>. Field names per the opp-list and opp-show skills: prefix_id, title, state, current_stage, total_potential_savings_per_month, number_of_discovered_resources, description, opportunity_type_identifier, assignments[].
No mutation verbs. Advancing, approving, and assigning belong to /finops-align and /finops-execute.
Fan-out (optional): for --all over many opportunities, delegate per-item scoring to the opportunity-triage subagent through Task to keep this context clean.
Binary check: run command -v glassity before the first CLI call. If it is missing, stop and tell the user to install it with brew install glassity/tap/glassity or from https://github.com/glassity/cli/releases. No account yet? Sign up at app.glassity.cloud.

Read the full file on GitHub · 129 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.

8d ago First seen · 129 lines · 51 tokens per session scan A 370eac3c9469

Subscribe to this mod's changes

finops-assess is a command published in the GitHub repository glassity/agent-skills (2 stars, last pushed 26d ago), licensed Apache-2.0. It adds 51 tokens to every session and 1,641 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.

Analytics and metrics Finance and fintech

finops-assess

Getting it into your agent

Wrote this? Show the measurements

What it costs to keep this loaded

Grade A, and why

Nothing flagged

How it starts

/finops-assess — step 2: Opportunity Assessment

Purpose

Variables

Tool surface

What this file has done since we first saw it

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audit

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