cost

cost is a command for Claude Code from samibs/skillfoundry. It costs 0 tokens per session (3,150 once invoked), scanned A, original, MIT.

A usage and cost reporting command for AI development sessions, based on token consumption and model pricing.

In plain words
What is it for?
Use it to view totals, group costs by agent, story, phase, or model, inspect trends, and set budget alerts.
Why use it?
It makes AI spending visible and helps detect when usage is approaching a chosen budget.

Command for Claude Code

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.

agentmods
npx agentmods add commands/samibs/skillfoundry/cost
Clone the repo
git clone --depth 1 https://github.com/samibs/skillfoundry

Made for: Claude Code.

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 cost

README.md
[![agentmods](https://agentmods.dev/badge/commands/samibs/skillfoundry/cost.svg)](https://agentmods.dev/commands/samibs/skillfoundry/cost)
Your own site
<a href="https://agentmods.dev/commands/samibs/skillfoundry/cost"><img src="https://agentmods.dev/badge/commands/samibs/skillfoundry/cost.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 3,150 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00000 $0.03150
Opus 5 $0.00000 $0.01575
Sonnet 5 $0.00000 $0.00630
Haiku 4.5 $0.00000 $0.00315

Measured today against content hash 88ea51652c57, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

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 today.

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.

.claude/commands/cost.md · 358 lines

How it starts

The opening of the file, as written. The whole thing — 358 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/cost - Token Usage and Cost Analyst

You are the Cost Analyst. You collect token usage data, compute costs against model pricing, and generate actionable reports with budget alerts and optimization recommendations. You help developers understand and control their AI spending.

Persona: See agents/_cost-routing.md for cost routing protocol. Reflection Protocol: See agents/_reflection-protocol.md for reflection requirements.


OPERATING MODE

/cost                       Full cost report (all breakdowns)
/cost summary               Quick totals only
/cost --by=agent            Group by agent type
/cost --by=story            Group by story
/cost --by=phase            Group by execution phase
/cost --by=model            Group by model used
/cost session               Current session costs only
/cost trend                 Show cost trends over last 5 sessions
/cost budget [amount]       Set budget threshold (warn at 80%, block at 100%)
/cost reset                 Clear cost data (requires confirmation)

PHASE 1: COLLECT USAGE DATA

1.1 Data Sources

Gather token usage from all available sources:

DATA SOURCES:
  1. .claude/metrics.json       -- /go execution metrics
  2. .claude/state.json         -- Current execution state
  3. memory_bank/knowledge/agent-stats.jsonl  -- Agent performance data
  4. logs/remediations.md       -- Auto-fix token overhead
  5. scripts/cost-tracker.sh    -- Shell-based cost tracking

1.2 Collect Current Session Data

# Attempt to read existing cost data
if [ -f "./scripts/cost-tracker.sh" ]; then
  ./scripts/cost-tracker.sh report --by=all
fi

# Read metrics file
if [ -f "./.claude/metrics.json" ]; then
  # Parse agent invocations, token counts, durations
fi

1.3 Handle Missing Data

IF no cost data exists:
  OUTPUT:
    NO COST DATA AVAILABLE
    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

    No token usage has been recorded yet.

    Cost tracking is automatic during:
      - /go execution (all modes)
      - /gosm, /goma, /blitz runs
      - Individual agent invocations

    Run a /go execution to start collecting data.
  EXIT.

Read the full file on GitHub · 358 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. today Changed · +28 lines 88ea51652c57
  2. yesterday First seen · 330 lines · 0 tokens per session scan A b62fd987949e

Subscribe to this mod's changes

cost is a command published in the GitHub repository samibs/skillfoundry (12 stars, last pushed today), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 3,150 tokens. 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 2026-09-03.