Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add SerenecoTech/agent-skills/plugin install humanizeWrote 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/serenecotech/agent-skills/humanize)<a href="https://agentmods.dev/skills/serenecotech/agent-skills/humanize"><img src="https://agentmods.dev/badge/skills/serenecotech/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/serenecotech/agent-skills/humanize"><img src="https://agentmods.dev/badge/skills/serenecotech/agent-skills/humanize.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00191 | $0.02714 |
| Opus 5 | $0.00096 | $0.01357 |
| Sonnet 5 | $0.00038 | $0.00543 |
| Haiku 4.5 | $0.00019 | $0.00271 |
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 3d 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 — 131 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Humanize
One entry point for text a person will read. The goal is the same every time: the reader understands the text in one pass and can act on it. The mechanics differ by who is reading and why, so this skill classifies the context first and then applies one of three rulesets.
| The reader is | They need | Ruleset |
|---|---|---|
| A person reading a reply in this conversation | The answer first, short sentences, a decision they can make now | Step 2, reply rules |
| A person following or learning from documentation | No fluff, one fact or instruction per sentence, a predictable shape | Step 3, procedural and descriptive rules |
| A person reading copy (marketing, blog, email, pitch) | Natural flow, a voice, none of the repeated patterns readers notice in generated text | Step 4, creative copy rules |
The three rulesets live in sibling skills with model invocation disabled, so the Skill tool cannot load them. Read them from the paths given below. A user can still invoke them directly as /humanize:procedural-writing, /humanize:descriptive-writing and /humanize:creative-copy.
Step 1: Classify the context
Classify before writing a word. Pick by what the text is, not by what the user called it.
| The text | Route |
|---|---|
| Is the answer in this conversation, or a summary or status the user reads here | Step 2 |
| Will live in a repository, a docs site, a release, a UI string, or an error path | Step 3 |
| Exists to persuade, announce, or carry a specific person's or brand's voice, or the user supplied samples to match | Step 4 |
| Is existing text the user handed over to check or fix | Classify it by the three rows above, then use that step's checklist. For a procedural audit, use the check mode in procedural-writing, which reports violations by rule number. |
If a task mixes types (a launch post that links to a quickstart), split it and route each part. Do not apply one ruleset to both.
Step 2: Replies
Read ${CLAUDE_PLUGIN_ROOT}/rules/reply-clarity.md and apply it to the reply. If a block headed "REPLY CLARITY (humanize plugin)" is already in this session's context, the plugin's SessionStart hook loaded it. Do not read it again.
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.
- 3d ago First seen · 131 lines · 191 tokens per session scan A ef2ec5e56f3d
humanize is a skill published in the GitHub repository SerenecoTech/agent-skills (2 stars, last pushed 3d ago), licensed MIT. It adds 191 tokens to every session and 2,714 once invoked, about $0.0010 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 2026-09-05.
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