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.
npx skills add maxvaega/awesome-skills --skill costgit clone --depth 1 https://github.com/maxvaega/awesome-skillsWrote 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.
[](https://agentmods.dev/skills/maxvaega/awesome-skills/cost)<a href="https://agentmods.dev/skills/maxvaega/awesome-skills/cost"><img src="https://agentmods.dev/badge/skills/maxvaega/awesome-skills/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.
<a href="https://agentmods.dev/skills/maxvaega/awesome-skills/cost"><img src="https://agentmods.dev/badge/skills/maxvaega/awesome-skills/cost.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Rogue Agent · line 10 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
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 | $0.00105 | $0.01260 |
| Opus 5 | $0.00053 | $0.00630 |
| Sonnet 5 | $0.00021 | $0.00252 |
| Haiku 4.5 | $0.00011 | $0.00126 |
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 7d 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.
How it starts
The opening of the file, as written. The whole thing — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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 "${CLAUDE_SKILL_DIR}/cost.py" --mode current --jsonpython "${CLAUDE_SKILL_DIR}/cost.py" --mode history --jsonKeep the quotes — the path can contain spaces. If the command above still shows a literal
${CLAUDE_SKILL_DIR}, your surface doesn't substitute it:cost.pysits in the same folder as thisSKILL.md, so locate it with Glob (**/cost/cost.py) and run the path you find.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.
What ships with it
2 files 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.
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.
- 7d ago Changed · +8 lines f75cc3cee0c3
- 10d ago First seen · 85 lines · 105 tokens per session scan A 77557ca7a32f
cost is a skill published in the GitHub repository maxvaega/awesome-skills (40 stars, last pushed 9d ago), licensed MIT. It adds 105 tokens to every session and 1,260 once invoked, about $0.0005 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 2026-08-30.
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