Install
$ agentstack add skill-maxvaega-awesome-skills-cost ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
cost — Cowork → Claude API cost estimator
Overview
Claude Cowork (and Claude Code) already run on the Claude API and write one JSONL transcript per conversation under ~/.claude/projects/. Every assistant turn records the actual API call it made, including the prompt-cache breakdown. This skill reads those transcripts, sums the real token usage, and prices it at Anthropic list rates (cache-aware) so a business user can judge what their conversations would cost on the API instead of the subscription.
It answers three things:
- Token count (current conversation and/or per conversation across history).
- Exact tokens needed to replay the same multi-turn, tool-using conversation on the API.
- Cost of those tokens in USD and EUR, accounting for prompt-cache hits.
When to Use This Skill
Use it when the user wants the token count or the API-equivalent cost of their Cowork / Claude Code usage — for one conversation or all of them — or asks to compare subscription vs API pricing.
How to Run
The worker is cost.py, located in this skill's folder. Run it with the system Python.
- Pick the mode from the request:
- current (default) — the active conversation. Use for "this conversation", "current chat".
- history — every conversation with per-conversation + total cost. Use when the user
says "all", "history", "per conversation", "each conversation", "everything".
- Run the script with
--jsonso you can render the result yourself:
`` python "C:\Users\massimo.olivieri\.claude\skills\cost\cost.py" --mode current --json ` ` python "C:\Users\massimo.olivieri\.claude\skills\cost\cost.py" --mode history --json ``
Options:
--rate-eur 0.92— EUR per 1 USD (approximate, editable). Pass a current rate if the
user gives one.
--include-subagents— also count subagent API calls (more complete cost). Use it when
the user wants the full picture or asks about agents/subagents.
- Render the JSON as a short English report. Show the token breakdown
(uncached input / cache read / cache write / output / total) and the cost in USD and EUR. In history mode, present a ranked table (most expensive first) with a TOTAL row.
Money formatting — always use exactly two decimals. Each cost object carries ready-to-render strings: use usd_display (e.g. $1.23) and eur_display (e.g. €1,13) verbatim. The euro figure uses a comma as the decimal separator. Do not re-derive the amounts from the numeric usd/eur fields.
Graceful Fallback (run outside Cowork / Claude Code)
If the script returns {"status": "unavailable", ...}, it found no transcripts — this happens when it's run outside Cowork or Claude Code. Do not invent numbers. Relay the message field kindly and verbatim in tone: explain that transcripts only exist inside a Cowork / Claude Code session, and invite the user to run it from there. Keep it friendly, not an error.
Reporting Notes (always include briefly)
- The figures are the actual API calls the conversation made, priced at **Anthropic list
rates** including prompt-cache discounts (cache read ≈ 0.1×, 5-min write 1.25×, 1-hour write 2× of base input) — not an estimate.
- This is the API pay-per-token cost; the Cowork/Claude subscription bills differently,
so treat it as a comparison, not your actual invoice.
- If the output lists
unknown_models, mention those calls were counted as tokens but priced
at $0 because their rate isn't in the table yet (add them to PRICES in cost.py).
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: maxvaega
- Source: maxvaega/awesome-skills
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.