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 humanizerai/agent-skills --skill word-statsgit clone --depth 1 https://github.com/humanizerai/agent-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/humanizerai/agent-skills/word-stats)<a href="https://agentmods.dev/skills/humanizerai/agent-skills/word-stats"><img src="https://agentmods.dev/badge/skills/humanizerai/agent-skills/word-stats/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/humanizerai/agent-skills/word-stats"><img src="https://agentmods.dev/badge/skills/humanizerai/agent-skills/word-stats.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk fail
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 | $0.00023 | $0.00365 |
| Opus 5 | $0.00012 | $0.00182 |
| Sonnet 5 | $0.00005 | $0.00073 |
| Haiku 4.5 | $0.00002 | $0.00036 |
Grade A, and why
word-stats 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 9d 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.
What it actually says
Word Statistics
Provide quick, accurate statistics about the provided text.
Input
The user provides text in $ARGUMENTS.
Important: If text is provided, immediately output stats. Don't ask clarifying questions - they want the numbers.
Output Format
## Word Statistics
### Counts
| Metric | Value |
|--------|-------|
| Words | [X] |
| Characters (with spaces) | [X] |
| Characters (no spaces) | [X] |
| Sentences | [X] |
| Paragraphs | [X] |
### Time
| Metric | Value |
|--------|-------|
| Reading time | [X] min |
| Speaking time | [X] min |
### Words
| Metric | Value |
|--------|-------|
| Unique words | [X] ([Y]%) |
| Avg word length | [X] chars |
| Longest word | [word] ([X] chars) |
### Sentences
| Metric | Value |
|--------|-------|
| Avg length | [X] words |
| Longest | [X] words |
| Shortest | [X] words |
Calculations
- Reading time: words ÷ 238 (average adult reading speed)
- Speaking time: words ÷ 150 (average speaking pace)
- Unique words: distinct words ÷ total words × 100
Keep It Simple
- Tables for metrics
- No unnecessary prose
- No recommendations unless asked
- Just the numbers
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.
- 9d ago First seen · 65 lines · 23 tokens per session scan A 9b58a9bb7073
word-stats is a skill published in the GitHub repository humanizerai/agent-skills (41 stars, last pushed 7mo ago), licensed MIT. It adds 23 tokens to every session and 365 once invoked, about $0.0001 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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