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 humanizegit 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/humanize)<a href="https://agentmods.dev/skills/humanizerai/agent-skills/humanize"><img src="https://agentmods.dev/badge/skills/humanizerai/agent-skills/humanize/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/humanize"><img src="https://agentmods.dev/badge/skills/humanizerai/agent-skills/humanize.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
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 | $0.00037 | $0.00541 |
| Opus 5.5 | $0.00015 | $0.00216 |
| Sonnet 5.5 | $0.00007 | $0.00108 |
| Haiku 4.5 | $0.00004 | $0.00054 |
Grade A, and why
humanize 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 1mo 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
Humanize AI Text
Transform AI-generated content into natural, human-like writing using the HumanizerAI API.
How It Works
When the user invokes /humanize, you should:
- Parse $ARGUMENTS for text and optional --intensity flag
- Call the HumanizerAI API to humanize the text
- Present the humanized text with before/after scores
- Show remaining credits
Parsing Arguments
The user may provide:
- Just text:
/humanize [their text] - With intensity:
/humanize --intensity aggressive [their text]
Default intensity is medium.
Intensity Levels
| Value | Name | Description | Best For |
|---|---|---|---|
light |
Light | Subtle changes, preserves style | Already-edited text, low AI scores |
medium |
Medium | Balanced rewrites (default) | Most use cases |
aggressive |
Bypass | Maximum bypass mode | High AI scores, strict detectors |
API Call
Make a POST request to https://humanizerai.com/api/v1/humanize:
Authorization: Bearer $HUMANIZERAI_API_KEY
Content-Type: application/json
{
"text": "<user's text>",
"intensity": "medium"
}
Response Format
Present results like this:
## Humanization Complete
**Score:** X → Y (improvement)
**Words Processed:** N
**Credits Remaining:** X
---
### Humanized Text
[The humanized text]
---
[Recommendation based on final score]
Credit Usage
- 1 word = 1 credit
- Detection is free
- Check credits at https://humanizerai.com/dashboard
Error Handling
Insufficient Credits
If the user doesn't have enough credits:
- Show how many credits are needed vs available
- Direct them to https://humanizerai.com/dashboard to top up
Invalid API Key
- Check HUMANIZERAI_API_KEY environment variable
- Direct to https://humanizerai.com to get a key
Rate Limit
If rate limited, suggest waiting or upgrading to Business plan.
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.
- 1mo ago First seen · 92 lines · 37 tokens per session scan A 61115d7795d7
humanize is a skill published in the GitHub repository humanizerai/agent-skills (53 stars, last pushed 8mo ago), licensed MIT. It adds 37 tokens to every session and 541 once invoked, about $0.0001 per session on Opus 5.5. 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.
Other skills, from other repositories
humanizer-zh
Use when removing AI writing痕迹 from Chinese text to make it sound more natural and human-written.
humanizer
Use when transform AI-generated content into natural, human-sounding writing with proper tone and style. Use when working with humanizer.
eval-dataset-design
A guide to creating reliable test sets for AI agents. Each evaluation task includes the request, the simulated user's behaviour, a reset starting state, and a success check that can be independently verified.
aatmf-t10-confidentiality-breach
AATMF T10 — Integrity & Confidentiality Breach. System prompt extraction, training-data extraction, model-weight leakage, private-key recovery.
mochi-remind
Handle due reminders — notify the user with natural language and mark them done.
ensembl-database
Query Ensembl genome database REST API for 250+ species. Gene lookups, sequence retrieval, variant analysis, comparative genomics, orthologs, VEP predictions, for genomic research.